Merchandising

Transportation Optimization - a silver bullet to solve "last mile delivery?"

Ted Matwijec, Managing Director, ACT Operations Research – Raleigh, NC.

Learn how knowing your constraints and customer demands feeds sophisticated algorithms to provide optimal routing and balance delivery vs costs   Lately I have been seeing more and more of those brand-new Amazon Prime - Mercedes panel trucks making deliveries around my neighborhood.   Also, I have even seen the USPS delivering packages on Sunday (contracted by Amazon I am sure).  What’s going on Sunday deliveries? On demand delivery with time windows specified by a customer is becoming the consumer norm.  Remember the delivery or service call by your cable TV/Internet provider saying my service guy will be there between 8 am and noon then shows up at 11:50am.  Met their promise, but ruined your whole morning wasted sitting around! Let me assure you that customer service problem can be solved and you don’t need the resources of Amazon, UPS or Fed Ex. Amazon is clearly moving into the supply chain delivery markets much to the chagrin of FED EX and UPS to take back their “last mile” deliveries of their goods and solve this problem for the customer.    The question is how can they make the most expensive part of delivery – the “last or golden mile” to a customer profitable? From our experience in these markets, simply put, Amazon, Fed Ex, UPS and other large transportation companies have the best and brightest staff of Math, Statistical Phds that constantly hone their algorithms to minimize costs and maximize the service requirements.   When profit is measured in pennies in a transportation system – (that’s why you see the UPS guys running from each delivery back to their trucks) – the solution cannot be a spreadsheet or database or even year 2000 optimization technology. It is not rocket science, well maybe sort of, but rather advanced mathematics (think Calculus) applied to route planning optimization and fleet capacity analysis.  These transportation algorithms (remember the traveling salesman problem) have generically been around for decades, however now they are totally customized, enhanced and improved enough to cover the most minutia of system requirements – by many software companies.  I read that UPS has put 10’s of millions of dollars in R&D over the years into their algorithms to update and improve optimize their KPIs – as an example! So, why now is the “last delivery mile” more complex and expensive than ever?   The short answer, the customer is demanding it and will go other places if your company cannot provide it!   We all know how poor delivery can be written up in YELP or GOOGLE about your business – a big problem in the social media world for your marketing department.   (eg. – delivered food late for a kid’s birthday party) The good news for any retail or grocery store fleet manager is that to solve the “last mile delivery” the technology today is much less expensive and available for all size of fleets and route planners The long answer is the complexity of the business rules, constraints and requirements to execute this service.   First some examples…of customer/supplier requirement I am seeing today in our markets of retail and grocery applications - Customers: Wants confirmation of a tighter availability of their grocery delivery – eg. In the next 30 minutes Desire communications via a mobile app, email or text to the customer – about the updated arrival time. Want a positive experience to tell their friends how good their deliveries are! – We all want that on demand! Grocery/Retail Stores with their own fleets, or outsourced via 3PLs - Wants a confirmation signature the groceries have been delivered and that information is sent back to the IT system in real time, with SKU information, for example – for replenishment purposes. Wants real time updates from their drivers about location, traffic and estimated delivery window to communicate back to the customer. Wants to be able to reschedule a driver in real time for a new pickup at the store/warehouse or pick-up a returned item. So, the lengthy transportation distances between warehouses to stores is a natural issue solved by logistics teams for inventory replenishment.  Now add that complex delivery network and inventory now required “on demand” from a store location or back in the warehouse for a customer that wants it delivered this afternoon – and you get to see why the “last mile” delivery starts to become complex and expensive!  From a labor, IT system connection, communication systems, loading, unloading, time window point of view, the human brain cannot possibly manage all the variables in your network – to balance cost vs services. Lot’s of moving business costs involved to serve the customer. So, from my 30  + years in the Operations Research field, I can strongly recommend an updated math model is appropriate for route planning and optimization and is the potential strategic “silver bullet” you are looking for – to support you competing in your markets!  Of-course it is not the whole answer, you have to execute a plan, change some processes and manage the fleet – the cultural processes. Question, when was the last time you asked for your route planning algorithms to be updated in your home grown business system,  TMS or ERP system, meanwhile your points of service network has changed a lot just in the last 5 years! I have seen the market share winners in the tight margin grocery or retail store business realize that the supply chain strategy to optimize delivery to their clients from source through the delivery point is accomplished by using transportation optimization.   Managing constraints like labor, fuel costs, traffic conditions, time window, texts and emails to meet that short time window and the “last mile” requires serious modeling/computational power and IT changes. The good news is that this technology is more readily available, less expensive from providers, easier to use for your staff, and has proven real cost savings – to meet or exceed your customers expectations. How much did your optimization algorithms cut your cost in your delivery system last year? Find the hidden value in your delivery system today, using math optimization, your savings should be a min. 10%+ or more in our experience to deliver on time or earlier and impress your customers! +MORE

Timing is everything and ‘your newest team member’ is right on time!

Lan Nguyen, Marketing Manager, Bossa Nova Robotics

With AI and data from your newest team member, retail work has never been easier. Bossa Nova, a leader in creating autonomous service robots for the global retail industry, tracks inventory plus store and shelf conditions in real-time. Its solution delivers data with speed and accuracy. By reducing inventory time, Bossa Nova is able to provide real-time data for stock levels with improved accuracy. So how does this translate to a financial gain for retailers? First, by automating mundane tasks, employees are happy and happy employees make a happier retail environment. You might wonder how many hours are spent on mundane tasks such as inventory audits.  There are 30,098 items in the average grocery store. A typical Target store has around 80,000 SKUs and a Walmart supercenter sells up to 120,000 items. It takes about 20 human hours to audit 10,000 products. Following this logic, an average grocery store would require over 60 hours per store,  160 hours per store for Target, and a whopping 240 hours auditing shelves at a Walmart Supercenter. It’s easy to see how grocery stores following the recommended minimum quarterly inventory schedule forfeit a high proportion of human working hours to this task. For those that audit monthly, the labor costs are even more tremendous.   Bossa Nova helps retailers automate these inventory audits and monitor shelf-conditions in parallel, scanning an 80 linear foot aisle in 90 seconds with 98% accuracy. Through automation, employee focus can be shifted to more action oriented, customer-centric tasks, while the Bossa Nova robot detects anomalies in shelf conditions, covering everything from addressing out of stock and misplaced items, to pricing, and more. This shift in employee focus to the customer directly translates to higher shopper satisfaction and increased loyalty. It is estimated that out of stocks cost retailers over $129 billion in lost sales in North America - a loss of -4% of revenue annually. (the cumulative worldwide cost of out-of-stocks for retailers has now reached over $984b) A study conducted by MIT Supply Chain Management Research determined that 78% of products that are not on the shelves (i.e out of stocks) are actually on-hand. Given this, a majority of out of stock issues can likely be resolved in-store. Inventory replenishment is critical to success, and those tasks need to occur at store level. Having the right products in the right place when consumers are looking for them (both online and in-store) allows sales to escalate and deliver a sales velocity that makes the most effective use of each square foot of space. Bossa Nova is committed to maximizing this efficiency by gathing  reliable, real-time data that delivers task oriented, actionable items. Efficient inventory control improves speed to shelf by alerting store-level associates of inventory on hand, as well as buying desks / suppliers of true OOS situations. Through computer vision implementation, retailers can accurately assess, and more importantly, address in-store conditions in real-time, across all locations. Real-time accuracy is not only important to retailers, but it is also important to your shoppers. By having accurate inventory, confidence thresholds for item availability can be increased for both in-store and online shopper inventory inquiries. In fact, 81% of shoppers do research online before visiting a physical store for what they want to buy, yet only 27% of retail sites provide store level inventory. When the robot “wheels” into your stores, you will be saving intensive labor hours and improving your store conditions with unmatched accuracy. Bossa Nova has the credibility and experience to help retail operations realize the return on investment and successfully integrate with existing platforms and systems. There are two popular sayings that really affect your bottom line: “Timing is everything”, and “Time is money”, and in business, money really is everything. While many technology companies are still working to surmount the bell learning curve of applied technology, Bossa Nova is equipped with extensive retail experience and has been trusted by operations and IT professions to successfully integrate and lead this huge step in retail automation. With accurate inventory management, you can increase your revenue potential and more accurately can forecast the future. +MORE

Are you Leaving Profits in the Basket? 10 Secrets to Increase Basket Size Week After Week

Dan Dashevsky, My Cloud Grocer

Independent supermarkets that offer products both in-store and online have an online basket size averaging between $120 and $184, based on the recent Brick Meets Click study. This compares favorably to Amazon Fresh at $84; Instacart, $98; Fresh Direct, $105; and Peapod, $147, as reported by 1010data. Out of 19 independent banners participated in the BMC study, Breadberry supermarket in Brooklyn, New York, had an online basket size of $184, the largest reported. Many of MCG’s clients have similar or even larger basket sizes than Breadberry’s. These 10 secrets have enabled our clients to achieve such outstanding results.   1.     Speed matters. Website visitors tend to care more about speed than about the bells and whistles we might be tempted to add to our websites. Google did an interesting experiment with regard to load times, asking web surfers if they would rather see 10 or 30 search results at a time. The users agreed that 30 results per page sounded like a good idea. Google then implemented this on some of their results pages. The shock came when traffic to pages that displayed 30 results dropped an astounding 20%. Google then tested the loading time difference between the 10- and 30-result pages. They found that this was just half of a second. So page loading time has been shown to be a crucial factor in user retention. It is also becoming a more important factor in search engine rankings. 2.     Product photography. The images on a site are another important factor. High-definition, mouthwatering pictures make a big difference when it comes to food shopping. Many website owners opt for the easy solution, and only display product images they can easily obtain from publicly available databases such as Kweeki and Item Master. These databases do not include all products, however, and image quality is often poor and inconsistent. The time and effort invested in high quality product photography to ensure that every product carried in the store is online and has a beautiful image pays good long-term dividends. 3.     Less is more. Instead of cluttering pages with as much product info as possible, keep it simple. Make the product image and a brief description the center of attention. Then you can add to the page some relevant and popular products to help customers remember to buy products that they may otherwise forget. 4.     “Shop by recipe.” Customers are looking for creative ideas to keep their meals fun. With a Shop by Recipes feature, they can find a recipe, click, and send ingredients to their shopping cart. The more interesting it is to browse your online store, the more your customers will buy from you. 5.     “My favorites.” Customers complete their shopping list much faster when they start with a pre-populated list of the products they normally buy. Once they are done with the basics, they have time to browse for more products, adding to the total basket size. 6.     Digital circulars. Everyone loves savings, and the more the better. Having plenty of items on weekly specials not only increases your in-store traffic but also increases your online basket size. Your printed flyer can only fit a limited number of items before it begins to look like a flea market and becomes impossible to read. Online, there is no limit to how many items you can display on special. Customers simply flip to the next page and keep on adding savings to their shopping cart. 7.     Quick re-order. By giving customers the ability to quickly send all the items from their previous order directly to their shopping cart, you’re simplifying their life and minimizing the possibility that they may forget an item or two. 8.     Keep it fresh. Let’s face it, shopping for groceries is not a recreational activity, but if you keep on introducing new products, it becomes more interesting, and this too will be reflected in your basket size. 9.     Accurate order fulfillment. Customers who are using your online order service are doing so for convenience, They want to save time for other priorities. If you fulfill their order quickly, and most important, accurately, you will see many more orders and higher order amounts now that they have trust in your service. Many MCG clients see increase in online basket size with customers who are placing their third and fourth orders. Once they develop the trust in your service, they will reward you with loyalty and larger basket sizes. 10. Good customer service. As in brick and mortar stores, good customer service is the key to success. This is what differentiates you from your competitors. Be ready to replace the not-so-fresh strawberries that a personal shopper put into a customer’s bag by mistake. Customers will buy more online from you if they are confident that if something is not satisfactory you will take good care of them. +MORE

AI Powered Promotion Optimization

CART

Artificial intelligence (A.I.) is tailor-made for high SKU count, high transaction frequency supermarket retail. The insight and recommendations that A.I. provides can help retailers drive significant top line sales gains without increased promotional cost. In the high- volume, low-margin supermarket industry, where even slight improvements can deliver considerable increases to bottom line profitability A.I.-powered promotion optimization is nothing short of transformative. +MORE

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DART Displays

DART Displays

DART Displays offers a way to transform the in-store shopping experience to one that is digital and dynamic, with reporting and analytics that lead to big insights about what moves your shopper to purchase.     By leveraging DART Displays structures (both permanent and flexible) you can and will create a best in class approach for enhancing the brand experience in-store.  +MORE

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Artificial Intelligence Product, Price & Assortment Optimization

Daisy Intelligence Corporation

Use the power of A.I. to make the optimal choices clear. Measuring grocery and retail data is a highly complex and tedious task. The changing and dynamic relationships between your products and customers in addition to the effects of pricing and promotions make understanding and leveraging all this data humanly impossible. Daisy does what humans can’t. Using our focused artificial intelligence (A.I.) and proprietary mathematic solutions Daisy turns impossible big data problems into actionable decisions. We analyze very large quantities of our clients’ transaction and operational data in order to provide weekly promotional, price, and forecasting recommendations which our clients can use to grow total sales basket size, improve margins, and delight customers. Daisy provides more than tools and dashboards, instead Daisy provides you with actionable insights that are proven to help you make more profitable decisions and compete in the new world of retail. Daisy turns your underleveraged data into your most profitable asset and source of competitive advantage.  Why Daisy? Outputs are specific, actionable recommendations to core merchandising decisions – not charts or tools A.I. is self-learning and adaptive -perfect for the dynamic world of retail Outputs are optimized to bottom-line/top line performance No hardware/software to install – up and running in 30-60 days Without a doubt, Daisy has driven a meaningful lift in basket size and trips without any additional margin cost – Scott Little, CFO Earth Fare Read the case study with Earth Fare here to find out more! http://www.advancingretail.org/resources/AI-Powered-Promotion-Optimization +MORE

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Robots for Retailers

Bossa Nova Robotics

It is estimated that out-of-stocks account for -4% loss in revenue, not to mention the possible long-term effects of losing loyal shoppers. Great shelving conditions can lead to great shopping experiences. Bossa Nova is the leading developer of robots designed to provide real-time inventory data for the global retail industry. Our retail service robot autonomously tracks inventory and the true state of in-store conditions to seamlessly deliver actionable tasks benefiting retailers through efficiencies and accuracy.   Ensure implementation and maximize operational efficiencies by relying on the retail experience and expertise of Bossa Nova. Our trusted team makes it work for all retailers - helping them turn real-time data into actionable tasks and insights.  Real-Time, Accurate Inventory Data Product Availablity with Efficient/Actionable/Timely Replenishment Real-time Corrective Actions to Remedy Merchandising, Pricing and Promotion Compliance  +MORE

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My Cloud Grocer Solution Guide

CART

My Cloud Grocer provides a retailer-branded online shopping solution to supermarket retailers. The online shopping site is responsive (will display properly on desktop, smartphone, and tablet screens) and features fast load times and payment functionality using token technology surpassing PCI compliance. My Cloud Grocer provides the retailer with support for picking, managing, and delivering orders. The company’s retail clients have experienced increased overall sales, due to reduced scatter... +MORE

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Darius™ for Retail

Darius Technologies

Darius for Retail is a fully integrated, cloud based shopper engagement platform. Darius delivers proven and measurable return on investment, by allowing retailers to put their shoppers at the center of everything and making it easy to engage and influence them pre-store, in-store, and post-store. Darius allows retailers to design, manage, develop and, measure interactions with their customers throughout the entire shopper journey.  The ‘tech’ bit: Darius™ is a modular ‘ecosystem’ retail technology platform that is designed to integrate and allow interaction with any existing retail systems and solutions such as Beacons, WiFi, dynamic shelf illumination, or e-coupons, and so on, to make continuous engagement with shoppers possible, wherever they are on the path to purchase. The customer experience bit: Darius™ allows retailers to put their shoppers at the center of everything by making it easy to engage and influence them pre-store, in-store, and post-store. The business bit: Darius™ delivers proven and measurable return on investment. That means more shoppers in-store, more often. It means attracting new and hard to engage shopper types. And it means bigger baskets and the increased spends that comes with that. It makes marketing budgets and, where they may already exist, retail tech investments work so much harder. +MORE

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LISNR

LISNR

LISNR powers transactions and connects the global customer journey with the most advanced Ultrasonic Data Platform. LISNR’s technology addresses the growing need for simple communication between myriad devices. Based on that idea, LISNR created proprietary software for encoding data into inaudible “tones”, which were then transmitted and received using standard speakers and microphones. +MORE

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Award-winning eCommerce solution

My Cloud Grocer

(5)

My Cloud Grocer is an award-winning eCommerce solution designed to help supermarkets thrive in a competitive digital world. Offering a robust, customizable virtual storefront, My Cloud Grocer’s top-rated white label platform powers and integrates the full shopping experience, from initial order to the customer’s door. Our clients see lower operational costs and consistently outperform competitors, enjoying the largest weekly sales and online baskets in the industry. +MORE

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Gauging the Impact of Display and Brand Messaging on the Cereal Category

RetailNext Learning Labs, RetailNext, RockTenn Merchandising Displays, & CART

The goal of this project was to determine whether or not in-line display fixturing and messaging increased brand and category sales and drives acceptable ROI.     +MORE

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Impacting Product Presentation, Merchandising and the Customer Experience

CART

The in-store environment has become an increasingly important front in retail competition as the majority of shoppers make their purchase decisions in the store and impulse purchases remain a significant factor. With this in mind, it is critical that retailers provide a pleasant and engaging in-store experience for their shoppers to achieve long term success as chain competitors stress clean, uncluttered, and well-organized stores. Key to the shopping experience is merchandising. Merchandising success means not only having the right product selection and assortment available, but also having products neatly presented to make it easy for the shopper to find what she is looking for. With so many more options available to shoppers today, retailers understand that the negative impression made by products in disarray and the frustration caused by inability to find the right product in a timely and efficient manner can send the shopper to a competitor. In addition to lost sales, poor merchandising discipline can result in higher labor costs, as store personnel must take time to straighten products and bring them face-forward. European supermarkets, faced with high real estate and labor costs, utilize merchandising fixtures to maintain product display discipline, maximize shelf space, and realize restocking efficiencies. A relative newcomer to the US market, merchandising fixtures from POS Tuning were recently tested by CART in a live learning lab (operating store) to determine the impact on sales, store labor related to restocking and merchandising, and the customer shopping experience. Overall, the fixtures provided a significant positive impact on units sold in key brands and sections in both the cereal and frozen foods categories, which were evaluated in this test. The quantitative results were reinforced by comments from the Store Director who clearly identified labor savings, improved merchandise presentation, and positive remarks from shoppers as key benefits to the POS Tuning fixtures. Merchandising tests such as these are challenging, especially in the dynamic supermarket environment where there is a regular inflow of new products and delisting of older products. Retailers regularly re-merchandising categories and sections compound the challenges as they react to competition and search for any advantage. The CART team’s retail experience underscores the importance of viewing test results through both a qualitative and quantitative lens. The positive impact provided by an easier and less frustrating shopping experience can create customer value over time that can be difficult to manage in a short-term test. Comments from shoppers and store personnel help reinforce the importance of this perspective. POS Tuning is a global provider of innovative merchandising and display solutions that has brought its products to retailers in North America. Building on the success in its home market of Europe, where leading retailers utilize its products across many categories to great success, POS Tuning engaged CART to implement its solutions in key categories in a supermarket to prove their value. +MORE

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New Floral Care and Handling Formula Optimizes Floral Department Products and Operations

CART

(1)

As the nation's economic recovery continues, supermarkets and other mass market outlets across the country, which capture 38% of the floriculture market, are expanding their floral offerings and anticipate an increase in sales. But it's not just the uptick in the country’s economic condition that's spurring sales. Retailers are redefining the supermarket floral department by concentrating on making it a point of differentiation, a go-to destination for shoppers, and a focal point within the grocery store. And while consumers will always consider price a significant factor in the purchase decision, overall freshness of floral and appearance of the department are the most important buying criteria for shoppers who will likely only spend their discretionary money on flowers that will meet these expectations. Achieving these goals, while optimizing floral department operations, can effectively be accomplished through the use of Sterilox FloraFresh. Unlike other solutions available in the marketplace, FloraFresh does not require any additional products to be used along with it. It is a concentrated, one-step solution designed to keep flower buckets clean, the water fresh and odor free, and provide essential nutrients to fresh cut flowers. FloraFresh is a safe, broad-spectrum cut flower formulation in a stabilized concentrate form of electrolyzed water with potassium-based electrolytes. The solution was designed to keep water in flower displays clear and eliminate any buildup on the vases and buckets that hold and display flowers. FloraFresh integrates seamlessly into the operations of any size floral department. It comes in a 2.5 gallon container with a proprietary delivery system that is installed within the floral operation. The solution is delivered through a trigger-activated dispenser that employees use to easily refill flower vases and buckets. The following case study reveals the results and benefits experienced among several independent grocery retailer study participants at Roche Bros. who used the FloraFresh solution in their floral departments. +MORE

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FloraFresh Concentrate

Sterilox Fresh

(4)

Sterilox Fresh focuses on solutions that make fresh retail products safer, fresher, and longer lasting. The Sterilox Fresh System and ProduceFresh are the standard in leading supermarket chains to keep produce fresher longer and to address cross-contamination. These products protect against harmful pathogens and spoilage organisms, reduce labor associated with trimming and case cleaning, make a step change in reducing category shrink, and enhance the shelf life and quality of fresh produce. FloraFresh is specially formulated to keep floral buckets free from slime build-up and odors, eliminating the need for scrubbing buckets while providing essential nutrients to cut flowers. +MORE

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POS Tuning

POS Tuning

(1)

POS Tuning is the global innovation leader for retail front facing shelf management solutions.  POS Tuning offers an entire toolbox of products (pushfeeds, illumination, theft prevention, stock management, brand staging, and other disruptive elements) optimizing the presentation of brands and categories at the Point of Sale. +MORE

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GoSpotCheck

GoSpotCheck

GoSpotCheck is mobile form and execution management software that enables team leaders to improve workforce operations. Organizations can assign tasks, analyze real-time reporting, and drive action to accomplish critical goals and objectives. +MORE

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BEFORE! Predictive Analytics

ACT Operations Research

1) Predict demand down to store and SKU level 2) Predict promotional campaign affect in the store, transportation and warehouse operations 3) Buy optimal quantities 4) Manage the risk associated with stock outs vs promotional campaigns and waste 5) considers assortment constraints and category efficiency 6) simulate store queuing for capacity analysis purposes and cost reduction purposes.  REVENUE, SALES & PROMOTION Revenue management and price optimization is a core-activity in any market oriented company operating in different industries (Retails, Fast Fashion, Chain Store, Car Rentals, Web Business, etc.). The goal of our suite is to provide, to the revenue managers, advanced analytics, using a unique combination and integration of predictive, optimization and simulation models. While the analytics tools are complex the results are always presented in an intuitive way. The core products included in the Revenue, Sale, Price & Promotion (RSP&P) suite are: Dynamic Price Optimizer (DPO), the multi-paradigm predictive paltform - Before! Predictive Analytics with Before! Sales Campaign -, the customers and market profiling analytics (CMP), the promotion optimization and what-if analysis platform - Before! Promo.  Before! Sales Campaign Before! Sales Campaign software addresses the needs of industries where the products and the merchandise assortments, have a fast renewal  dynamics, even during the same season, like the case of fashion and  fast-fashion channels, electronics or several web-business  Before! Promo Before!Promo, is a complete multi-paradigm analytical tool by ACTOR, developed for scaling enterprise companies. In the current competitive scenario the consumers pay high attention to the promotions, on the other hand promotions exposed retailers and vendors to higher risks in terms of image, in case of stock-out or costs in case of over-stock. When products are fresh-food or fast fashion for example, the risks become even higher.  Before! Predictive Analytics  Before! Predictive Analytics or simply Before!, is a complete multi-paradigm demand forecasting platform by ACTOR, developed for scaling enterprise companies. Before! provides you the capability to forecast the demand while gaining control of the related organization processes such as; planning, procurement, inventory optimization, store replenishments, etc..  Dynamic Price Optimization  Dynamic Price Optimization (DPO) is a capacity and revenue management software based on sophisticated analytical algorithms. It permits users to optimize the prices of products, assets and commodities over the time based on the expected demand, the competitor’s prices and other key-information like, for example, price elasticity.   +MORE

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Category Assessment

Shopperception

Our capabilities include: - Category optimization (planogram, visibility, product innovation) - Lost shopper analysis - Category performance monitoring - Contextual shopper engagement at the shelf (in-store advertising) - In-store shopper traffic analysis Key benefits to the retailer: - Test and optimize changes in a small set of stores before full-chain rollouts - Protect category performance - Increase basket size - Optimize investments in shopper activation and increasing conversions +MORE

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CART Weekly Report 4/4/19

CART, Advancing Retail

MCDONALD’S ACQUISITION OF DYNAMIC YIELD TELLS US ABOUT DIGITAL TRANSFORMATION | ZDNet Gary’s Take: McDonalds is getting into the customization and recommendation game with its recent acquisition of Dynamic Yield. The idea is that McD’s will customize the menu in realtime based upon weather, time of day, food trends, and more. While a step in the right direction, where McD’s should be looking is personalizing the menu based on the individual customer in front of it at the drive through or at the self-ordering kiosk in store. Contextual relevancy is what’s called for in the Age of ‘I’ - it’s all about tailoring the experience to the individual customer.  WITH FACIAL RECOGNITION, SHOPLIFTING MAY GET YOU BANNED IN PLACES YOU’VE NEVER BEEN | CNET.COM Gary’s Take: The use of facial recognition is exploding, increasingly used by governments around the world, and also used by retailers. This article calls out the use of facial recognition for identifying shoplifters; once a shoplifter has been caught in one store, digital cameras across all the retailer’s stores can be watching for the same person. We are already seeing a growing use of the technology related to payment and there are more applications coming, especially around identifying customers (repeat shoppers, etc.). AMAZON CUTS MORE PRICES AT WHOLE FOODS | WSJ Gary's Take: I think the more interesting question is what happens at Whole Foods when Amazon goes stealth, unleashing its recommendation technology on the vast repository of (Prime) customer identified transaction data it is accumulating at WF and personalizing promotions and pricing to the individual customer? Kroger has leveraged personalization to great impact over the past decade. Amazon / Whole Foods is positioned to take the strategy far beyond what even Kroger is doing because Whole Foods is not reliant on brand manufacturer marketing funds like traditional retailers are. WHERE ARE GROCERS FAILING ON IN-STORE EXPERIENCE? | RetailWire Sterling’s Take: Getting in and out isn’t necessarily mutually exclusive with positive human contact or visually appealing displays. I do think that speed is a necessary condition for most stores and not every retailer needs to be a Wegmans. But there’s strong competition in some markets and coming soon to others that necessitates grocers take a step to compete.  WHICH DATA SOURCES SHOULD BE DRIVING PERSONALIZATION? | RetailWire  Sterling’s Take: Time-relative consumer feedback/requests really should be #1. How can you be more relevant than that? But I don’t think this is just about data sources. It’s about the quality of the personalization. Making two or three segments for offers is far different “personalization” than a more advanced AI that customizes offers and even prices for everyone. I’m with Nikki here that all of it is a value prop — if there’s enough perceived value, consumers will engage and respond. FEATURED BLOG OF THE WEEK:  SMARTER, FASTER RETAILING WITH ARTIFICIAL INTELLIGENCE, Guest blog by Ed Porter, VP – Customer Insights and Product Strategy Pristine Infotech HAPPENINGS CALL FOR PRESENTERS FOR VR/AR ASSOCIATION RETAIL & eCOMMERCE MAY WEBINAR DISRUPTIVE LEADERSHIP & THE SELFCARE REVOLUTION​, Boston Immersion Event Apply to present at Retail Tomorrow Labs: Boston - Applications due June 15th, 2019 SPRING 2019 RETAIL INNOVATION PITCH EVENT, hosted virtually on May 23, 2019 Get on the Inside - CART Community FOR RETAILERS>> Proven programs to advance your business FOR SOLUTIONS>> Your growth engine into retail Become part of the epicenter of retail innovation exclusive network. The place where retail decision makers and solution providers come together to advance retail into the future.  VIEW ALL SOLUTIONS HERE   HOW CART WORKS CONTACT US     TELL ME HOW TO GET MY SOLUTION ADDED TO CART +MORE

3 Types of Retail Execution Data: What They Are, and Why They Matter

Mat Brogie, Part of founding team and CEO of Repsly, Inc.

In today’s fiercely competitive market, retailers are taxed with the responsibility of making sure their in-store presence gives them an edge over their e-commerce counterparts. Effective retail execution is absolutely essential to keeping store sales afloat, seeing as over half of purchase decisions are made within brick-and-mortar walls. High-performing organizations incorporate three distinct data types into their retail execution strategy to keep store sales high and competitors at bay. Here we’ll discuss what those data types are, and how retailers and suppliers converge to best utilize them. Activity Data Activity data refers to the measure of outputs from brand representatives or store personnel. This encompassses metrics such as “visit frequency” or “number of shelf resets completed.”  These metrics have the power to reveal how team members are spending their time in-store. For example, retailers can rest assured that brand representatives are upholding their commitments by monitoring how often they visit the store and how much time is spent there. This data also proves useful in devising better schedules for employees based on how and when they interact with brand reps. Managers from either party (retailer or supplier) can more easily identify top performers by comparing activity data to sales lifts. What’s more, transparency around this data promotes accountability for whichever party is responsible for various retail execution tasks.  Activity data sets the stage for what’s going on within the confines of a store, but it can’t paint the whole picture. The real value comes from analyzing it against observational and sales data.  Observational Data Observational data includes qualitative data points that tell the story of what’s actually happening inside the store. Examples of this data type include notes on brand presence, photos of the shelf, or information on merchandising activities. This data tells the story of what’s actually happening at the store level, and has several practical uses. Some include: Sharing photos to prove compliance with a display or promotion Monitoring photos and other data points pertaining to shelf presence in order to flag stockouts more quickly and keep track of damages that might become returns Brands building trust with a retailer by sharing competitive intelligence from other stores through photos and questionnaires (i.e. “What does the inside of their store look like?”, “Who is shopping in it?”, etc.) Recording information about foot traffic and customer sentiment during a promotion or demo event  Observational data is able to reveal key insights about in-store presence at a very granular level of detail. However it becomes even more powerful when used in conjunction with sales data. Sales Data Sales data is simply the sales generated over a specified time period. Perhaps the most straightforward of the three data types, it’s still extremely telling. What’s interesting to retailers is how the other two data types (observational and activity) are able to push the needle on sales. Both retailers and brand suppliers can benefit from comparing historical sales data to improve forecasting, especially around the holiday season. When combined with activity and observational data, sales data reveals whether or not a promotion is effective or if a display is being properly set up. Similarly, steady sales followed by a steep drop-off could signify a stockout or the consumer switching to a competitor. Taking a look at sales and observational data can also convey where cross-merchandising is present to help retailers and brands make decisions about where else to stock complimentary SKUs. A close analysis of sales data can uncover a cannibalization that’s hurting other SKUs in a set. Conversely, brands can showcase which SKUs or promotions are the biggest sales drivers for retailers.  Putting It All Together A sizable 25% of in-store sales are lost to poor retail execution. When used either separately or in conjunction, three types of retail execution data are a retailer’s secret weapon to winning over consumers. Forward-thinking organizations understand this reality, and apply the three types of data as part of a virtuous cycle of insights, planning, and action at retail. +MORE

Yoobic

Yoobic

For retailers that want full visibility of stores’ compliance, improve in-store execution and carry out tasks efficiently, YOOBIC provides a user-friendly application that makes daily operations easier to manage and enables retailers to sell more. Retailers and brands alike know store appearance affects sales. They want to ensure that stores execute promotions and tasks according to operational standards.But clunky manual processes and inefficient communication waste too much of their time. As a result, many retailers are seeing too many non-compliant stores. This is a major challenge for them as it impacts the bottom line. YOOBIC helps retailers overcome this challenge. Our user-friendly application enables retailers to have full visibility of stores’ compliance, improve in-store execution and carry out tasks efficiently. +MORE

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CART'S INNOVATION PROGRAM

Gary Hawkins, CEO , Center for Advancing Retail and Technology

CART’s Innovation Program, done in partnership with Retail Tomorrow, is a unique offering that works for retailers and solution providers alike. Designed for national and larger regional retailers, the CART team works with the retailer’s executive team to identify 2-3 specific areas of interest like automation, in-store experience, etc. With interests established, the team then goes to work identifying the leading solution providers in each area, filtering through and curating the most appropriate capabilities. That process often entails talking with each solution to ensure applicability and set expectations. Amongst the many factors we evaluate is making sure the size and scale of the retailer is aligned with the solution provider’s resources. Connecting a young solution to a massive retailer might sound exciting, but if the solution provider lacks the resources to pilot and then scale deployments it leads to frustration on all sides. Once the appropriate solution providers have been identified we all go on-site to the retailer’s HQ to spend a day with their executive team focused around education as each solution is given an opportunity to present to the group and talk about what they do. The format allows for Q&A along with opportunity to start building relationships as everyone networks over coffee breaks and lunch. From the solution provider’s perspective, the opportunity to get time with the senior exec team from prominent retailers is invaluable. Once a solution provider is selected to participate, the CART team will work with you to review your presentation materials to make sure you’re providing the most powerful and relevant message possible about your company and what you do. The CART team will provide some coaching for the presenters to make sure you deliver your message in the time allotted (these events are pretty tightly scripted to accomplish everything).  Expectations are clearly identified on all sides early in the process. From the retailer, CART is looking for executive level commitment and engagement with the process, the executive team’s commitment to spend the day with in the on-site meeting with all the solutions, and a commitment to seriously consider piloting appropriate solutions. From solution providers, CART is looking for new innovative capabilities to help the retailer address challenges they have or provide new capabilities that are beneficial to the retailer. This involves having a good understanding of retail and how retail works and helping educate everyone in the meeting as to the technologies involved. Retailers interested in learning more about the CART Innovation Program can get more information here Solutions interested in participating can learn more here +MORE

CART Weekly Report 3/7/19

CART, Advancing Retail

AMAZON PLANNING TO OPEN DOZENS OF GROCERY STORES, WSJ REPORTS | BLOOMBERG Gary's Take: While supermarket retailers are focused on the shift online, Amazon represents a much more significant threat as it is poised to disrupt the very business model that drives US supermarket retail. And on top of that, Amazon is deftly bringing the pieces together as the food industry and healthcare converge. This and more is discussed in my latest book "Retail in the Age of I". AMAZON TO LAUNCH NEW GROCERY BUSINESS | WSJ Gary's Take: Amazon represents a threat to traditional supermarket retail far beyond the move online. Amazon is poised to truly disrupt the business model that all but a few grocery retailers rely on to power sales and profits. My latest book, "Retail in the Age of 'I'" (available on Amazon - where else?) explores this threat and more.  A New Podcast about “Technology, Innovation, and the Independent Retailer” | Retail Tomorrow with host Kevin Coupe From the floor of the National Grocers Association (NGA) Show in San Diego, “Retail Tomorrow” host Kevin Coupe engages with a power panel of retailers and experts in a discussion of the unique technology challenges and opportunities facing independent retailers, which often are without the resources available to larger competitors, but that often have the cultural flexibility to experiment and innovate. Lauren Johnson, CEO/President, Newport Avenue Markets, Bend, Oregon. Lisa Mangino Swanson, Communications Director, Hugo's Family Marketplace, Grand Forks, North Dakota. Sterling Hawkins, Co-founder, Center for Advancing Retail & Technology (CART). Tom Furphy, CEO/Managing Director, Consumer Equity Partners. Glen Terbeek, the retired force behind Anderson Consulting’s Smart Store initiative (who brings uncommon sense and historical perspective to the conversation).   NEW BOOK! Retail in the Age of ‘I’ - A New World View for the Retail Industry | by Gary Hawkins now available on Amazon   Suggested Reading:  GIVING INDEPENDENT GROCERS AN ECOMMERCE BOOST By Jim Dudlicek, Progressive Grocer  ARE ROBOTS COMPETING FOR YOUR JOB? | The New Yorker   Featured Blog of the Week:  TRANSPORTATION OPTIMIZATION - A SILVER BULLET TO SOLVE "LAST MILE DELIVERY?"   Guest blog by Ted Matwijec, Managing Director, ACT Operations Research - Raleigh, NC  Learn how knowing your constraints and customer demands feeds sophisticated algorithms to provide optimal routing and balance delivery vs costs...  >>LEARN MORE   INFLUENCER MARKETING AND STORY-TELLING IN RETAIL - Los Angeles Immersion Event - March 19-21 The fifth Retail Tomorrow Immersion will take us to LA and put you in the middle of the latest thinking in storytelling, “influencing” in its many forms, and how both are impacting retailers and brands. We’ll do a deep dive on this subject at Google and YouTube’s glittering new campus at the historic former Howard Hughes airfield.  Event details RETAIL TOMORROW LABS: Los Angeles - Apply to Present  We help incubate ideas, concepts, products, services and other solutions with our community of retailers, brands, suppliers, innovators and other thought leaders to improve the overall shopping experience for the consumer.  Join us for the Retail Tomorrow LA Lab* during the Retail Tomorrow Los Angeles Event on March 21st. We're bringing together a highly exclusive group of 40+ retailers and brands. You'll have 10-15 minutes to present 1 on 1.  *fees apply   DON'T DELAY!! APPLICATIONS CLOSE MARCH 11 FOR THE SPRING 2019 RETAIL INNOVATION PITCH EVENT +MORE

Smarter, Faster Retailing with Artificial Intelligence

Ed Porter, VP – Customer Insights and Product Strategy, Pristine Infotech, Inc.

You’ve heard all the buzzwords.  Machine learning. Deep Learning.  Artificial intelligence. Prediction machines.  Prescriptive analytics. Recommendation engines.  You keep hearing that Amazon and other Silicon Valley companies are using these tools to steal all your customers.  You can even see it in action when you look at your smart phone and see a hotel ad for a city you plan to visit three months from now.   But you can’t wrap your head around what all this is, or what you would do with it even if you did.  So here is a simple way to think about “Machine Learning AI”, why it’s important, and some ways you can use it. There are many definitions of Machine Learning AI.  One that we like is this: they are computer applications that teach themselves rules to mimic human insight and tactical thinking.  Humans learn through experience, by recognizing patterns and discerning the implications of those patterns.  In this case, machines sift through very large data sets in a very comprehensive manner, looking at every combination and every possibility.  They are able to detect many more patterns than humans can, and they are able to quantify the implications of those patterns with much more accuracy.    With their knowledge of these patterns, these machines are able to probabilistically predict outcomes.  And like humans, as they gain more experience, their predictions become more accurate. And when given decision guidelines and constraints, they can generate recommendations to take suitable action.  These recommendations can be simple, such as “discontinue these 100 redundant and slower moving items”.  Or they can be much more complex, such as recommending the best mix of everyday prices, advertised promotions, and personalized offers for a given week or quarter.      Why is this an important topic?  The reason is your customers. They now expect to get whatever they want, when they want it, and how they want it.  They want to do business with you on their terms, not yours. To meet this challenge, you now need to tailor your product choice, price, and convenience to fit the needs of each of your very diverse customers.  And this needs to be done in near real time. Traditional analytic tools can’t help you do this. There are just too many possible decisions to be made. And not enough time to complete the analysis, debate the implications, and then decide on the best actions to take. Here’s a practical example of how machine learning AI can be used to complete a very complex task that many retailers do every week; create a weekly promotion plan.  First, consider all the decisions that have to be made to complete this task; what items to put on sale, what price or type of promotion to run for each, what to put on display, and when (in what week or weeks) to run the promotion.  Also think about all the considerations you have; sales and margin budgets to achieve, competition, holiday opportunities, and vendor funding just to name a few. If you run 200 promotions each week, carry 2,000 promotable line groups, and wish to plan for 13 promotion weeks during an upcoming quarter, the number of possibilities is infinite.  Not to mention the additional complexity of balancing those financial and competitive considerations. Machine Learning AI can help you manage this task.  It will work within all your guidelines and constraints.  It will consider your financial goals and your competitive guidelines.  It will make sure holiday opportunities and “must have” items are included.  It will adjust quickly to changing market conditions. And it will make recommendations that probabilistically maximize your financial goals.             Machine learning AI can make you smarter, faster, and leaner.  It can be applied to any merchandising or marketing activity where guidelines and financial goals can be defined, and will assure that your decisions are “always on strategy”.  It combines the business knowledge, the goals, and the tactical thinking of your people, with the super-computing capacity that only a machine can possess. +MORE

Survey Results – Expired Products Hurt Sales, Not Just Shrink

Andrew Hoeft, CEO, Pinpoint Software, Inc.

In 2018, Pinpoint completed a market study surveying grocery shoppers on actions they take upon finding expired food items at a grocery store. This post will examine a particular finding from the survey. In the coming weeks, we’ll be posting additional insights from the survey. If you want to read the survey in its entirety, download it here. The goal of this study was simple: get a better understanding of consumer sentiments regarding expired products and how those sentiments impact their decisions to shop at a particular supermarket as well as how likely it is they would share bad experiences with others. Survey participants whose responses were included in the results self-identified as grocery shopping decision-makers in their household. All 505 of these respondents were located in the United States and varied in age from 18 to over 60, with most (32.08%) falling between 30-44. Gender breakdown skewed female with about 64% of respondents identifying as female and about 35% identifying as male. The results of the study show that grocery decision makers are actively checking expiration dates in the store. 78.8% of respondents either check every item they select, or regularly check items in key categories such as meat and dairy products. The results also suggest that sales, not just shrink, are hurt by the impact expired products have on shoppers, with 17.5% of respondents saying they have switched their primary grocery store after discovering expired products and nearly 30% saying they would be extremely likely to stop shopping at a store if they found expired products there repeatedly. Lastly, shoppers are very likely to share experiences with others, especially when expired products become a recurring problem. Expired products hurt sales, not just shrink The study results suggest that the impact of expired food reaches beyond what’s captured as shrink to impact core sales numbers. 17.5% of shoppers reported switching their primary grocery store because of an expired product at some point. Again, the question asked not whether they would, but whether they actually had. The main driver of this outcome appears to be the discovery of expired food multiple times. While shoppers seem to be generally forgiving when they find expired food for the first time (only about 5% say they are extremely likely to stop shopping at that store), they are not as forgiving if the problem becomes a trend. Almost 30% say they are extremely likely to stop shopping at a store after purchasing expired food on multiple trips. How likely (1-10) you would be to do the following if you found that you had purchased multiple expired products at the same store over several grocery shopping trips? The impact of this on sales becomes clear when the typical amount shoppers spend on groceries and average profit margins made on sales are added into the equation. A 2017 survey conducted by GOBankingRates reported that a typical shopper spends an average $3,672 on groceries each year ($3,876 for women and $3,480 for men). Taken together with the 29% average profit margin made on grocery sales alone, that’s about $1,065 in lost profits per customer each year. To download the full survey results, including additional insights into how expired food sales impacts customer experience and how consumers are most likely to react and take action in both good and bad experiences, click here. +MORE

The Growing Role of Data Intelligence in eGrocery

Michael Demko, CEO and Founder, Locai Solutions

2018 was marked by many advancements in the various applications of data intelligence – the ability for computers and apps to gather information, and use it to give customers a truly personalized experience – setting the stage for the next-level in convenience. Shoppers are now less resistant to the idea of individualized product suggestions, which creates a new dynamic of customer service: people expect products to be presented to them in an easy, personalized, and intelligent way.  A great user experience is an imperative part of any eCommerce offering, but the underlying logic, algorithms, and intelligence that bring depth and relevance to the user experience is where the real innovations are occurring. In 2019, personalization and AI will grow from being merely promotions and product recommendations to a set of  tools that help retailers sell time-saving solutions. By 2020 45% of retailers plan to utilize artificial intelligence to enhance the customer experience. Currently, many platforms generate lists that you can buy from, but with machine learning you can now deploy solutions that provide higher levels of convenience for your customers.  What exactly does the customer experience? A more frictionless buying experience. Upon initial sign in to an app powered by an engine like eGroceryIQ, customers answer questions about their dietary preferences, portion sizes, and favorite items. After each purchase, the order details are collected and used to modify that user's next shopping experience. If the customer reviews an item, that information is also integrated into future product and recipe recommendations. eCommerce platforms embedded with AI powered solutions will take all this customer data, integrate it with what is currently in their shopping cart, and provide them with a highly personalized and engaging shopping experience. These smart apps, using segment-of-one personalization, create a unique interface for each customer. Instead of having to sift through an entire catalog, shoppers are presented with their favorite items right away, as well as similar product suggestions – foods they might like based on past purchases.  Other applications for data intelligence include capabilities that provide shoppers with information to problem solve for quantity and product type. Customers can filter and scroll through listings to compare nutritional information and see what items fit with their dietary preferences or restrictions. AI solutions  can sift through recipes, parse ingredients, map them automatically to a retailer’s assortment and systematically scale the amounts needed for a family of 4 or a single serving enabling customers to use tools such as meal planning to maximize use of products already in their virtual shopping cart. As machine learning continues to evolve, the possibilities become endless.. Is it worth the investment? All that value for your customers translates to higher sales. Intelligent solutions mean higher basket sizes, improved loyalty & retention, increased conversion rate, and higher purchase frequency.  Furthermore, data intelligence can be used to advance your merchandising, logistics, and fulfillment efforts. According to Tech Emergence, "the predictive capabilities of AI may play an important role in forecasting inventory needs, determining prices of products based on internal and external factors, analyzing customer behavior, loss prevention, delivery services–and potentially much more."  Equipped with volumes of data about your customers, new platforms will emerge to enable you to more easily pivot your business strategies, optimize your interfaces, and offer a catalog of high selling products.  The bottom line? More convenience equals greater customer satisfaction and more revenue. Intelligent solutions for today and tomorrow According to Forbes magazine, almost half of Americans now buy groceries online. Recent surveys by Food Marketing Institute (FMI) and Nielsen show that 49% of US consumers had bought CPGs (consumer packaged goods) online in the past three months, up from 23% in 2016. The rates were higher among younger demographics – 61% for millennials and 55% for Gen Xers. As these rates continue to increase, experts predict that AI will continue to expand to meet the growing needs of both grocers and shoppers. Without AI, traditional grocery stores will have a difficult time meeting consumer behavior and demands. Many are finding that simply adding an online catalog is not enough to satisfy their customers, nor drive higher sales. The key is increasing value through efficiency and continuous learning about your customer. Solutions embedded with machine learning are designed to meet the needs of both the retailer and the consumer – giving the consumer an engaging, personalized experience, and the retailer a comprehensive, sales-driving and scalable platform. In order to succeed digitally, a broad set of components are needed and we’re beginning to see more and more partnering between grocers and technology solutions. As Yeal Cosset, Chief Digital Officer of Kroger said, “Personalization based on available data will not work. If the filter of the data is only good you will become obsolete, but if it is great you will have success.” Investing in flexible platforms that enable integration with the best in class consumer and operational features will become necessary, as a wide host of 3rd party application providers continue to emerge as the industry evolves. +MORE

Five Predictions for Retail Transformation in 2019

Gary Hawkins, CEO , Center for Advancing Retail & Technology (CART)

As we begin 2019, tomorrow is no longer going to resemble today. The pace of tech-fueled innovation continues to grow, bringing with it increasing change across the supply chain and greater impact on traditional retail operations and models. 2019 is going to be a year of even greater change. Here are five key areas to watch this year: Frictionless shopping: The Amazon Go store with its cashier-less shopping experience has gotten the industry’s attention and this year we will see a great deal of activity in this space. There are several tech companies working to bring similar capabilities to the retail industry along with cost-effectively scaling the technology to work in traditional supermarkets. I believe the proliferation of retailers’ mobile apps having some kind of self-shopping capability - the shopper scanning their products as they shop using their smartphone and then an expedited payment process - is an interim step to a completely frictionless shopping environment. The whole idea of the Amazon Go store is to make buying products as easy as possible; the shopper having to use their app to scan and pay makes it easier to buy but not as easy as just walking in, picking up what you want, and walking out. Automated fulfillment: Kroger’s partnership with Ocado to build and operate twenty automated grocery eComm fulfillment centers is on track. We are seeing several other retailers enter into agreements with Takeoff Technologies to build mini automated fulfillment centers that can sit in the backroom, automatically fulfilling high-velocity packaged goods ordered online. Walmart is working with a partner to build an automated fulfillment center that is designed to sit alongside their stores, fulfilling high-volume products. In 2019 we are going to see even more activity in this space as other retailers will be forced to follow these leaders as automation brings efficiency and lower fulfillment costs, opening up a productivity gap. We will be seeing other technology providers step into this space as the market expands. Automated delivery: Kroger’s partnership with Nuro to use automated, driverless delivery vehicles to deliver online orders to the shopper’s home is already in pilot. Udelv and other solutions will be gaining more interest as retailers begin to focus more attention on the final mile delivery. While many retailers have signed deals with Instacart or Shipt to handle actual delivery, we’re going to see growing interest in Uber and other services to handle deliveries and fast growing interest in automated solutions like Nuro and Udelv in search of cost efficiencies. Health & Wellness gets personal: The wearables market is growing fast as Apple’s Watch and similar devices provide even more functionality to monitor key health indicators in realtime. The explosion in health data coming from these wearables will become increasingly tied to food guidance, helping the individual understand what specific food products to purchase and consume based upon the individual’s health condition and realtime data. As an example, Dexcom recently released a device that provides realtime glucose monitoring for people with diabetes. The ability to use knowledge of an individual’s glucose levels at that specific time - for example, while they are standing in front of the shelf - will inform guidance to beneficial foods. This movement is already underway as the massive food and healthcare industries converge, driven by Amazon’s ownership of Whole Foods, PillPack, and other activity in healthcare. Kroger’s Opt-UP app enables the shopper to easily understand the quality of the foods they are buying and easily filter the store’s product selection based upon the shopper’s interests, needs, and preferences. Look for a lot more activity around this space in the coming year. Melding of digital and physical retail: While most industry activity has been focused around eCommerce and automation of fulfillment and delivery of orders, I believe we are going to see growing attention to the melding of digital and physical shopping. This encompasses bringing augmented reality into the store and shopping experience; we’ll also see growing activity in virtual reality shopping as VR tech gets better and cheaper. Digital signage will spread across the store and get smarter, not only using demographic info to present messaging relevant to the person standing in front of the screen, but engagement will be far more personalized. Kroger’s new shelf Edge system is moving in this direction, lighting up as a shopper moves down the aisle to call out relevant products. Obviously there are many more areas where technology is going to transform retail but these are five key areas to watch. Each of these fundamentally changes the game: Frictionless shopping and automating fulfillment and delivery remove significant costs and will put growing pressure on competing retailers as companies using these technologies scale deployments.  Personalization will move quickly, not just in marketing but in linking an Individual shopper’s health to her favorite store’s product assortment, guiding the shopper to products to improve her wellbeing.  Lastly, shopping is about to become far more interesting and truly immersive as technology really begins to impact the shopping experience, whether you are in the brick & mortar store or sitting at home. +MORE

Vegetables Shouldn’t Be the Only Green in Your Market

Rachel Prince, Business Development, Tebo Store Fixtures

Every day, millions of people go shopping for groceries. They go to large and small grocery chains, independent markets, and even farmers markets- we all need to eat. Driving to these grocery stores wastes enough emissions as is, shouldn’t your shopping experience in turn be more efficient? By adding the use of Promolux LED, Econofrost Night Covers and Digital Menu Boards, your market can go from an ordinary every day or week occurrence to a fun, engaging and more energy efficient shopping experience. The first way that your grocery store can go green while enhancing the look of your product is by incorporating the use of Promolux Lights. Promolux Lights are a form of LED lighting specifically designed for your meat, produce, and other refrigerated displays. These long-life LED lights have a low-lumen depreciation which means they last long while staying bright. They also encompass a frosted technology which provides a diffused light to deter shadows and dark spots on food to keep it looking fresh and delicious. These lights and their cool physical temperature are safe if close to food and sprinklers and when added to your market, help save energy all whilst keeping your refrigerated displays looking superior to the rest. The next option to consider, Econofrost Night Covers, focuses more on efficiency than anything else. Econofrost Night Covers are used specifically in refrigerated cases instead of using traditional mesh or plastic covers to protect perishables. These covers are more hygienic than the traditional night shields and they reduce radiation and heat transfer onto the product. By incorporating these night shields, your grocery store can save anywhere from 37-50% of normal energy use per hour- an overall 10-12% energy savings in a 24hour period. Econofrost keeps your refrigerated cases cooler during downtime and helps reduce the amount of food shrink and discard levels up to $1 per foot per day, even during power outages and natural disasters! Because of the massive energy savings involved, some grocers have been granted tax considerations for their conscientious environmental contributions. As you can see, Econofrost Night Covers are a great way to save you money as well as keep your store running green and efficient. So far, we have discussed two energy saving options which help markets stay fresh and green, but where is the excitement and fun in all of this for consumers you ask? That is where Digital Menus enter the equation. Digital Menu Boards may just be your new favorite way to display specials and entertain customers in an economically friendly manner. Joe Michaels, VP of Product Development for the Tebo team and an active NGA member for over 10 years, has designed and built menu boards specifically for independent grocers. They a great way to market high margin and signature product, increase revenue and save money. Let me take a step back and let you know what exactly Digital Menu Boards are and why they need to be included in the grocery world more now than ever. Digital Menu Boards are durable and commercial grade screens with the option to display daily or weekly menu options, specials or ads. They have the capacity to play a moving video while highlighting the screen in different areas for specials or can be a still display to your liking. Besides all the technicalities involved, Digital Menus can help a busy lunch hour or day go by seamlessly. I will explain why in a moment. The first direct energy saving aspect involved in Digital Menus come from the elimination of paper and plastic signage, therefore cutting down on waste. Digital Menus have a proven 8-22% increase in revenue when used thoughtfully in store; whether it be the deli, over the hot foods, or on top of a refrigerated case. Aside from being green from the energy standpoint, they can also be green for your pockets by bringing in more desired sales. Another great opportunity stemming from Digital Menus is that customers can easily see highlighted specials on the board which, in turn, help sway people to purchase the item in focus. Highlighted specials are a great tool to use to drive customers to purchase more profitable and signature items. Even more, on top of the many previously stated benefits of menus, is their assistance with perceived wait times. From experience, I have noticed people often get impatient when waiting on their sandwich to be made or waiting in an order or checkout line, but this solution gives customers something to look at which can take their mind off their task, therefore making their perceived wait time dissipate. We at Tebo have been successful in integrating Promolux LED, Econofrost Night Covers and Digital Menu Boards into chain grocery retailers such as Super Value, Piggly Wiggly, Associated and Unified Grocers, as well as many single-location markets. These three solutions, designed with independent grocers in mind, have the capability to improve efficiency and save you money as well as provide a more inviting shopping environment. The focus above all is to keep markets eco-friendly and people-friendly, thus ensuring that vegetables will not be the only green in your market. +MORE

​SmartAisle and The Rise of Voice-Powered Retail

Ethan Goodman, Co-Founder, SmartAisle

There are three converging retailer pain points and dynamics that have created a compelling and important market opportunity:  First, there’s an historic labor shortage in the US – for the first time ever, there are more job openings than people to fill them, and this is undoubtedly impacting retailers’ ability to put high quality workers on the floor to interact with shoppers.  Second, The “Amazon Effect” is putting intense pressure on brick & mortar retailers to deliver a user experience that meets or exceeds that of E-Commerce – for example, better personalization – or risk losing trips and sales to Amazon and other pure plays.  And third, shoppers are indicating that they are increasingly open to engaging with voice-based virtual assistants in the in-store environment in favor of summoning a human sales associates – 52%, in fact, according to a recent report from AdWeek. So, we created an innovative new solution to help retailers address these challenges head-on. Meet SmartAisle, the world’s first voice-powered in-store shopping assistant.  SmartAisle brings the power and simplicity of voice technology to brick & mortar retail stores in a completely unique and ground-breaking way.  Specifically, it is a patent-pending technology platform that combines an intuitive voice interface, connected LED lights embedded on the shelf and a powerful artificial intelligence engine on the back-end to help shoppers with product selection and education at the First Moment of Truth.  It’s incredibly easy for shoppers to use:  First, shoppers see a call-to-action on at-shelf signage with a prompt for what to say to initiate the voice assistant – for example, “Alexa, open SmartAisle.”   Next, they answer a series of simple questions audibly about their product selection criteria – for example, in whiskey, their desired type (bourbon, rye or scotch) and a target price range (like, under $50).  And finally, our algorithm selects up to 3 recommended products; reads out the product names, descriptions and other relevant information (like ratings & reviews); and lights their position on the shelf for easy identification.   Beyond providing an undeniably cool & novel experience to shoppers, the value our platform can deliver to retailers, as I insinuated at the beginning, is significant. SmartAisle can do everything from enhance at-shelf navigation, selection and education to help close the sale; to capture and report incredibly valuable data about shoppers’ at-shelf behaviors and interactions, and allow retailers to optimize their staffing decisions – not necessarily replace human associates, but rather augment their capabilities and allow them to focus on other key tasks And we think SmartAisle does these things better than any available competitive options today, bet it:   Store associates, who in most cases have limited product knowledge, and whom shoppers sometimes avoid because they’re seeking discretion or don’t want to be “sold.”  Be it traditional at-shelf signage, which can only deliver static content and can’t capture shopper engagement data.  Or be it mobile apps, websites or bots, which require shoppers to have necessary hardware, software or browsers, and a reliable internet connection, and whose screen-based experiences can create barriers to speed.  At this point I’m sure you have all sorts of questions. Here’s my best effort to address the ones most frequently asked by clients and prospects alike:  Do I have to use Amazon Alexa as the underlying AI platform? No. SmartAisleSM is platform-agnostic, and can be built using other comparable AI like Google Assistant.  Has it been executed in a live store environment? Yes. We successfully ran a 2-month test with a boutique wine & spirts store in New York City, and just signed a contract for a 5-store test with a national liquor store retailer on the West Coast (set to launch this December).  How does it perform? Very well. During our 2-month test, SmartAisleSM drove a 20% YOY category lift for our client, and shoppers told us it provided an experience that was “noticeably better”, “easier to use” and “more entertaining” than normal.   Does it only work for Alcohol/Beverage? No. SmartAisleSM is perfect for any retailer aiming to elevate the in-store shopping experience, particularly those in heavy-assortment, high-consideration and/or premium-priced categories like Beauty/Cosmetics, Electronics, Fresh & packaged Grocery, Health & Wellness, Home Hardware, Pet Care and Fashion/Apparel.   How complex is it to execute? Not very. A typical engagement takes 3 months to launch from contract signature to go-live, we handle the installation and all needed maintenance, and the only infrastructure requirement of clients is accessible power. How is it priced? For the time being, pricing is still determined on a case by case basis. But we’re planning to implement a standard per store, per month model in the coming months.   Our vision is to be the world’s biggest, best and most indispensable network of digital in-store shopping assistants – installed in tens of thousands of stores, serving tens of millions of shoppers, and generating millions of dollars in incremental sales for our clients – and we hope you’ll join us on that journey. For more information, visit www.smartaisle.io or email help@smartaisle.io. +MORE

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