Data analytics

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

Personalized Wellness

ScriptSave® - WellRx

As a nation we spend over $5 trillion a year to feed our bodies.1 That’s the value of food sold each year in the United States through retail and food service including nearly 38,000 supermarkets, an estimated 150,000 convenience stores, and over one million restaurants. The U.S. food industry is immense, touching every person in the nation every day. We then spend trillions more each year taking care of ourselves. The U.S. healthcare industry is massive, projected to be over $5 trillion a year by 2025 and representing an estimated 20% of the country’s GDP.2 So we have two titanic industries that touch each consumer… and yet food and healthcare are largely disconnected. Plus, with 40,000+ unique products in a typical grocery store, the choices are overwhelming to the average consumer trying to shop for foods to appease any number of nutrition-sensitive health conditions. Personalized Wellness At ScriptSave, our vision of personalized wellness aligns managed care organizations, healthcare providers, employers, food manufacturers and retailers to improve and maintain the wellness of each individual. The power of the personalized wellness vision lies in the economic benefits provided to each member of this ecosystem. The personalized wellness food-health supply chain begins with the individual consumer, an understanding of his or her health condition, and food products beneficial to that condition. As the source of food, retailers become, in a sense, an extension of personalized healthcare, and a trusted partner in wellness for each individual. What better loyalty for a retailer than helping customers live healthier lives? Public Health Implications The implications from a public health perspective are enormous. 70% of Americans are on at least one prescription drug and 60% of the U.S. population is dealing with at least one chronic health condition. Our aim is to evaluate food products based on their nutritional attributes and provide insight to possible grocery alternatives that are more favorably aligned with each shopper’s personal health and wellness goals.  Our vision is no less ambitious than to improve health outcomes for millions of individuals. ScriptSave is mobilizing key participants to realize the Personalized Wellness vision. Purchase validation of beneficial products creates a powerful feedback loop Improves future recommendations Powers performance-based incentives provided by managed care organizations Helps providers drive improved outcomes Provides brand manufacturers powerful insight to shopper needs  The Rise of Artificial Intelligence It is only recently that artificial intelligence data and technologies are available to personalize, at a product level, food recommendations that are beneficial to each individual. Deconstructing nutrition information to countless data attributes enables powerful linkage between health conditions and the hundreds of thousands of food products available across the United States. What makes it all work is the ability to convey personalized food guidance to the individual via the smartphone in their hand while in the store aisle. “Food is the area consumers really want to deal with the most,” states Jane Sarasohn-Kahn, health economist for Think Health. “Nobody really wants to take medicine. People would rather project-manage health through food as prescription.”3 A recent meeting with a physician group highlighted the shortcomings of efforts to date as doctors explained patients forget nearly everything within 24 hours of leaving the office. Perhaps what is most powerful about the personalized wellness vision is that everyone across the food-healthcare supply chain benefits from improved health outcomes and quality of life for the individual. Retailers gain stronger customer relationships as they come to be viewed as true partners in wellness, and consumer goods brand manufacturers have a path to redemption from the processed foods abyss. 1 “U.S. Food Retail Industry - Statistics & Facts”, Statista, www.statista.com/topics/1660/food-retail/ 2 Mark Hagland, “Medicare Actuaries: U.S. Healthcare Spending to Soar to $5.631 Trillion and 20.1 Percent of GDP in 2025”, www.healthcare-informatics.com, (July 18, 2016) 3 Drug Store News, Future Trends: Self care, wellness shift to drive innovation in new, emerging health segments, www.drugstorenews.com, (August 18, 2017) +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

Discovering the Holy Grail of Retail: Online-Offline Convergence

Sena Zorlu, Instapio

Over the past years, retailers have been investing into digital transformation, creating online stores and making their brick and mortar locations smarter. On the startup side, there has been a massive growth of retail technology companies in multiple areas to improve operations, cut costs and bring in more customers. There’s no Magical Solution Today there are multiple solutions that claim online and offline convergence. These are mainly: Data Management Platforms that will tie online and mobile identities to retailer’s offline data (CRM, POS, Loyalty) to provide historical view. Mobile Attribution and Retargeting platforms that will understand when mobile users are in your stores and retarget them with timely and relevant information. iBeacons that will help you communicate with your app users in granular proximity. Guest WiFi that requires social login or email that can be tied to your CRM. It is very confusing for retailers to understand what solution to invest in when the common value proposition is the same: we will bring you the holy grail; we will connect online with offline. However, the main problem with all these technologies is that they are lab technologies. They work perfectly in controlled environments where every condition is met. Well if all your customers download your mobile application and they turn on their bluetooth and they open the application and they stand next to this sensor than the technology works. Retailers are promised an amazing connected world where they have full control of their customers yet when these solutions are installed, the results don’t come near what was promised. This is why there are so many POC’s but so little mass deployments of technologies. Retailers need to understand that today, technologies that promise to connect them to customers are still in preliminary stages of growth. This is because there are pre-conditions for these technologies to work and consumers rarely act the way we aspire them to.  The costs and efforts associated with having every customer download and not delete a mobile application are astronomical. Even when you bear the costs, app store discoverability is really difficult and consumers are app tired, looking for a reason to delete an app. When a technology is not adopted by the masses, your results will be skewed because of the small usage base. Any A/B testing or campaign on a small sample size will lead for wrong strategy. Another blocker with mobile technologies is the device manufacturers themselves. Mobile based technologies use sensors and features within the mobile phone which puts the retail industry at the mercy of the manufacturers. So when a manufacturer decides to turn off location collection from mobile applications, your investment into mobile attribution may sink overnight. Which retail technologies will win? To be able to understand what is going on in the store environment, retailers need better data generation than what exists today. In order to take real time responsive action the way ecommerce sites can do, retailers need access to real time, contextual data that can speak with existing systems they have. Mobile apps do not fill the void of collecting this data. Meaningful information can only be collected with sensory technologies that will passively collect data from a large sample. The first result of this trend has been in-store analytics. In-store analytics has presented a better picture of what is going on in the store and help understand the funnel that leads to purchases. The next wave of technology is to improve what we can do with this sensory data. Historical analytics is nice to have but will not magically save retailers. The next wave of retail technology will come as software layer that sits on top of sensory information and will affect all operations from merchandising, real time campaigns, personalization, staffing and everything else. So what can retailers do today? One thing we know for sure is that consumer behavior is rapidly changing and brick and mortar retailers must adapt to the changes demanded by customers. Retailers must be educating themselves with new technologies and changing consumer behavior. Big box stores have built lab environments to test new technologies, the easiest thing smaller retailers can do is to dedicate one store, preferably near their headquarters as their lab environment. They can be open to testing new technologies rapidly and choose best startups that can act with a real store rather than doing a fancy presentation or a demo. Retailers need to be in the conversation of emerging technologies. There are many technology startups like us who are working for the core problems that retailers are facing today. Whatever the retailer’s size may be, a lot of startups will be open to testing and working with them to solve specific industry problems. Small and medium sized retailers can become more innovative by becoming part of the solution. Building internal teams, dedicating test stores, working intimately with startups, having leadership teams advise retail tech startups are just some of the things retailers can start with that won’t require significant budgets. What we are working on At Instapio, we have been working on unifying different identities customers have to paint a clear picture of what is happening in the store and bring aggregated insight to help retailers. Our goal from the first day was to bring the automagical aspects of online to the physical world. It’s a big challenge and there is no one shot solution to create it. It requires collecting and merging of data from multiple assets, unifying different identities, making all the data talk in the same language and delivering it to the retailer in a format that can be used. This is why we are building an ecosystem around bringing all this sensory information together and make it available to talk to management systems in real time. We are working closely with the Advancing Retail platform, very excited to learn and help solve brick and mortar business challenges. +MORE

ScriptSave® WellRx

Medical Security Card Company LLC.

Discount Rx Card & Prescription Price Comparison Cost and inconvenience are the biggest reasons people don't take their prescribed medicines. ScriptSave WellRx wants to remedy that and help people enjoy better health. Start saving on your family's prescription medicines! Search for savings on prescription medicines and compare prices at pharmacies near you. With the ScriptSave® WellRx mobile app, you can find the prescription medicines your family needs at the savings you love. ScriptSave WellRx is the trusted resource that makes prescription medicines more affordable and easier to manage because ScriptSave WellRx cares about helping people stay healthy. ScriptSave WellRx is free to join. And, we're accepted nationwide at more than 62,000 pharmacies. It's easy to start saving on prescription medicines for your entire household – even pets! Simply download the ScriptSave WellRx prescription discount app to your iPhone or Android Phone, enter a drug name, and compare prices. You can open the app any time, anywhere to search for the best discount at pharmacies near you. Simply show your printed or digital prescription discount card when you go to pick up your prescription and enjoy the best possible deals on your medications. +MORE

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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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Grab and Go Automated Commerce

Accel Robotics

We are building a ‘Grab and Go’ vision-based automated shopping system. Think about this like an Amazon Go solution for everyone else. +MORE

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fract™

Fract

We provide actionable prescriptive geospatial intelligence to businesses and help them make all the right choices based on their data.  Fract is inspired by fractals – countless geometric figures that have the exact same characteristics as the whole. Fractals can be found everywhere in nature – snowflakes, clouds and even our own hearts – and are used to describe various complex, recurring natural events like crystal growth and galaxy formation. We predict and help businesses to maximize their potential based on the tiny patterns found inside the data. We believe in continuous data analysis and uncovering patterns to make use of the infinite amounts of data that increases every single hour, of every single day. +MORE

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Grocery is Going Digital. The Time is Now.

CART

Online grocery sales are growing fast. A recent report released by FMI and The Nielsen Company states that 23% of U.S. households purchased groceries online in 2016, up from 19% in 2014, and representing an estimated 4.3% of U.S. consumer retail food and beverage spending. The report goes on to state that as many as 70% of U.S. consumers will be buying groceries online by 2025, spending more than $100 billion, an estimated 20% of consumer food and beverage spending.1 Grocery is going digital far faster than many predicted and the time is now for traditional retailers to stake their claim. +MORE

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Automation and Personalization of the Retail Store

Instapio Inc.

Instapio allows chain retailers to gain control of their business and automate customer experience standards. By using Instapio, retailers create seamless and intuitive locations that are responsive to the presence and habits of their customers.  The solution will operate as a decision making engine for each store and across the chain to measure millions of data points in real time, make decisions based on business priorities and optimize operations. Imagine a super store manager that oversees the everyday operations of all stores. +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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Smart Gammified Customer Feedback Surveys and Analytics

Wyzerr

Wyzerr builds artificial intelligence software for data collection and analytics that look and feel like games. The basis of Wyzerr’s platform is making it as fun, fast, and easy as possible for consumers to provide actionable feedback data, and business stakeholders to understand and use that data to make decisions in real-time. Wyzerr’s ‘Smartforms’ can capture 25 questions in under 60 seconds. Our secret sauce is the machine learning algorithms infused within the platform. Wyzerr smartforms processes feedback in real-time like a human being would, rapidly digesting the information and asking new questions as a human would in a real dialogue. It allows brands to truly understand who their customers really are. What they like, don’t like, what makes them sad, mad, and happy…all in real-time. This machine learning capability makes it possible for every customer to receive a unique feedback questionnaire. There’s no such thing as one-survey-fits-all at Wyzerr.  The data is analyzed in real-time to produce actionable insight around the clock. Instead of complex graphs and pie charts, our insight-based dashboard outputs data on a GPA scale, assigning grades (A, B, C, D, and F) for different key performance indicators. Similar to how progress reports in school advise students on what they should do to improve their grades, Wyzerr's AI component advises business stakeholders what they can do to improve their customer experience. Overtime, and with more feedback data, Wyzerr can also recommend new products and services to be developed, suggest improvements to existing products, identify new trends and upsell opportunities, and advise on the types of market messages to run. It’s essentially a technology to use customers’ feedback to support operational decisions. We offer data science in a box. +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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Crowdsourced Picking&Delivery for eCommerce

ReadyCart.co

(2)

Crowdsourced Picking&Delivery Technology for retailer's eCommerce solution - laser focused around maximizing customer satisfaction and retailer profitability. ReadyCart Crowdsourced Picking&Delivery Technology Crowdsourced network build and eCommerce integration Retailer specific training collaboration and creation Network onboarding and ecosystem to handle training, scheduling, payment etc. Crowdsourced Picking&Delivery Technology  Picking&Delivery App Delivery Analytics Portal +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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Swift Access

Swift IQ

Swift Access helps to unify data sources and make them accessible on-demand. Process millions of records in milliseconds to facilitate real-time decisioning and individualized marketing to take your customer experience to the next level. Big Data Storage: Harness big data and make any dataset accessible in milliseconds on-demand, even for hundreds of millions of records. We ensure high availability regardless of data size, concurrent users and demand velocity. Data Import: Upload and sync data efficiently from one or many sources via CSV, XML or our REST API. Omni-Channel: Deliver content anywhere with consistency from a single backend. Security: Data is encrypted and stored in highly secure data centers. Developer Tools: Start building apps in minutes with an interactive developer portal, sandbox, sample code in many languages and starter applications. Analytics: We store and index your usage data so you can understand how data is consumed across any channel, user, or device. On-Demand Access: Access data on-demand from any digital device via hypermedia REST APIs capable of transmitting JSON, XML, HTML [and more]. Auto Scaling: We auto allocate and optimize servers and scaling so you can focus entirely on building user experiences. Pay for usage, not peak capacity. User Management: Add any number of user internal or external users or developer using secure OAuth2.0 authentication. Global Reach: Benefit from high-speed data delivery across a high replication global content delivery network with a dedicated cache. +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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Balance Innovations Suite of Solutions

Balance Innovations

(1)

Balance Innovations offers the only retail software platform that connects all points of your currency operations,  lowering the cost of accepting cash and increasing efficiency at all levels of the organization. It provides multi‐ layer security and effortless integration of all your devices and systems to give you an immediate, complete view  of your entire enterprise.  This comprehensive visibility enables you to understand what’s happening across your entire organization without tapping into multiple systems or reports. It puts all the information you need right in front of you –  customized to thresholds you choose – so you can be proactive in addressing issues before they become problems.   +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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Customer Demographics Analysis

DoorStat

DoorStat sets up proprietary sensors at pedestrian doorways or points of interest where the technology automatically analyzes foot traffic & associated demographic info for attendees through video-based, proprietary software. The software, working in real-time, will collect, analyze, and report on customer demographic information, including the gender, age, ethnicity, and mood of each customer. Because customers are passively analyzed, DoorStat collects information on more customers than would be possible through surveys, other forms of technology, or high-overhead initiatives. DoorStat data helps retailers improve customer experience, optimize staffing/operations, validate marketing efforts, identify customer/product correlations, & predict future behavior. Example Insight: between 1-4pm on June 1, location xyz had 523 customers, of which 311 were female; of those females, 36.72% were between 35-44 years old; within that age demographic, 29% were Hispanic. +MORE

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It’s Independent Retailers Who Are Better Poised to Take Advantage of Technology


Chris Cialone, Wonder Rewards, Director of U.S. Sales Operations

Usually it’s the big chains that get the credit for leveraging the latest in technological innovations. We’re all used to seeing the splashy headlines announcing Kroger, Ahold or Amazon about to launch another new tech-centric feature or capability.  And it makes sense, one would think – the big guys have the big budgets, have innovation labs, and have R&D funding.  But independents have something the retailers don’t have – faster and nimbler decision-making abilities. Unfortunately, many independents don’t capitalize on this strength, waiting instead for technology to filter down – and by then, customers aren’t as excited and any point of differentiation is long gone. Today’s regional supermarket chains should find partners that can provide them a technological edge. Companies like Wonder Rewards, who have the ability to launch a turn-key, 100% digital loyalty marketing program that drives incremental sales by attract new customers, retaining the best customers, and offers up-sell and cross-sell opportunities. Wonder Rewards uses transactional data to: Plan out a responsive customer journey Analyze data for insights and segmentation Design marketing campaigns using insights Execute those campaigns with offers and content in personalized texts, notifications or email Report on results, re-calibrate and optimize campaigns What other technology is under-utilized by independents? Globalization. Technology has made the world smaller, it is now possible for a local grocery retailer to expand their customer base to include consumers in other countries, and these consumers LOVE American-made consumer packaged goods. There is a high trust factor to consumable products made in the US under stricter government safety regulations that exists outside of the US. Technology, like that made available to independents allows products sold by grocery retailers to be sold and delivered to the doorstep of millions of consumers in Asian countries.  In another example of an attention-grabbing headline from a big chain, last August Kroger released a statement saying that “e-commerce enables Kroger to quickly scale to reach new customers and markets where we don't operate physical stores, starting with China.” And that the arrangement will “meet Chinese consumers' growing demand for high-quality, organic food products.” Independent stores can now do the same with the Wonder Rewards online marketplace. You can expand the size of your customer base from your local market area to include millions of Chinese consumers who appreciate the value and quality of American made consumer package goods.  A logistic partner manages the process from product placement on the online marketplace to shipping direct to your new Chinese customer’s doorstep. E1 Marketing Edge is an example of an emerging tech-centric company that can expand the size of independent retailers’ market from those within a reasonable driving distance to a global audience, regardless of language or culture. Interested? Stop by booth # 1204 at NGA to learn more. +MORE

CART Weekly Report 1/10/19

CART, Center for Advancing Retail and Technology

Amazon’s cashierless Go stores could be a $4 billion business by 2021, new research suggests | Recode This should have every retailer’s attention: A new report out by RBC Capital Markets suggests that Amazon’s Go stores could be a $4billion business within the next several years. The stores, which Amazon has announced they may open up to as many as 3,000 of the format by 2021, outperform the traditional convenience stores, with the Go store doing an estimated $1.5m in annual revenue. While the stores have a high capital cost to open due to all the technology, they have lower operating costs do to not having cashiers.  Cashierless shopping is becoming a major area of interest for supermarket retailers as several tech companies are pushing hard to provide similar technology to other retailers. The latest is Grabandgo which just raised $12m in a series B; the company is apparently in agreements with 4 significant retailers and the technology can cost-effectively scale to a 100,000 square foot store.  Google Assistant nears 1 billion installs as usage quadruples | Fast Company Voice-based digital assistants are growing fast. Google projects that by the end of this month its voice assistant will be running on 1 billion devices, up from 400 million a year ago. The number of active users have quadrupled over the past year.  Google’s announcement comes on top of Amazon’s holiday season selling millions of Alexa devices. Alexa is now available on over 20,000 different devices and has over 40,000 skills, integrations with third-parties to perform certain functions based on a verbal command. While voice-based shopping has not taken off yet as some people had projected the foundation is certainly there as these assistants get smarter. Kroger, Microsoft Create Futuristic Grocery Store. Amazon, Take Note | Bloomberg Kroger is working hard to personalize the brick & mortar store in its partnership with Microsoft, focused on digital shelves. The digital shelf can show the usual product pricing information but can also show ads, and other information. Where this tech gets really interesting is Kroger’s stated ability to help eComm order pickers select the right products by ‘lighting up’ the products to be picked as the worker goes down the aisle. Even more, Kroger is linking the digital shelf to the shopper, customers using Kroger’s self-checkout app can be guided to the items on their shopping list. Similar capability can be used to target relevant items to each shopper that has opted in, Kroger lighting up items it thinks are relevant or of interest to the shopper as they move through the store. +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

Tastry aims to shape the alcohol and food industries with the launch of new wine & food pairing platform

Katerina Axelsson, CEO , Tastry

Tastry, an AI company that uses flavor chemistry and machine learning to recommend products based on an individual’s palate and preferences, announced today the launch of their food and recipe pairing platform. Although food and wine pairing isn’t a new concept, Tastry has identified drivers for a change in this sector both for the consumer and for food and CPG manufacturers.  Their current wine recommendation platform has a proven 45% increase in consumer satisfaction and an average 3-5% lift in category sales for participating retailers.  Tastry’s data can help manufacturers predict and develop delicious, memorable foods targeted for an individual as well as cut R&D costs and predict emerging wine and food trends per shopper both regionally and beyond. Their new food pairing and recipe platform will offer recommendations based on what bottle of wine is being purchased, the dish being served, and even the occasion for a gathering. “We are excited about the launch of our new platform and the robust recommendations it will provide for customers, ” said Katerina Axelsson, CEO of Tastry.  “We believe that this new platform will allow consumers, CPG developers, and retailers to have a very personalized and informative experience as we continue to grow and increase our market presence.” Tastry has plans in the near future to release a recommender in the cannabis sector and will be issuing details shortly. To receive this information upon release, email Starr@tastry.com About Tastry: An AI company based in San Luis Obispo, California. Their patented technology has the ability to evaluate consumer taste preferences to sensory-based products using analytical chemistry, machine learning, and AI. Tastry has accurately taught a computer how to taste. The technology serves retailers by providing science-based suggestions for product development, inventory purchase, and direct-to-consumer recommendation. +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

Pseudo Customer Centricity: Fool’s Gold

Gary Hawkins on Winsight Grocery Business, CART

Retailers must employ a customer-first philosophy into organizational culture Many regional retailers are (at last!) intent on becoming customer-centric, more than a decade after The Kroger Co. led the way and more than two decades after early loyalty pioneers proved the value of a true customer focus. But too many retailers believe that customer centricity can simply be bolted on to their organizations without realizing that true customer centricity is far more involved. Like the intrepid gold miners of the 1840s, these retailers awaken to the realization that what they’ve taken for retail gold is in actuality a false promise, seduced by the fools gold of pseudo customer centricity. I can recount meetings with senior executives from well-known retailers who espouse their customer centricity efforts; spending massive sums on consultants and solutions powered by a decade’s old approach based on customer segments integrated to the retailer’s category planning processes, and even personalized offers to shoppers. Countless of these retailers remain anchored in a product-focused world, even those who tout using technology to discover what products should be put on offer to their customers rather than starting with a vendor-funded offer pool.  True disciples of customer centricity deeply embed a customer-first philosophy into their organizational culture, extending it to every part of the enterprise. These companies realize that providing savings on products relevant to the shopper is only the beginning. Leading companies such as Amazon and Kroger are investing heavily in taking customer centricity to the next level: comprehensive, seamless user experiences across channels and devices, integrating personalized product recommendations with an understanding of the individual shopper’s specific health conditions, and laying the technology foundation for immersive shopping experiences melding the physical and digital worlds. Customer first disciples understand the dynamic flow of customers and their shopping behavior over time, putting in place capabilities and processes attuned to providing contextual relevancy inside and outside the store. And personalization—driven by past purchases and recommendation algorithms—is fast evolving to what I think of as strategic hyper-personalization, leveraging vast intelligence about each individual shopper to power a mix of recommendations to win the shopping trip, grow baskets, maximize retention, and foster customer advocacy—one customer at a time, in real time. Many regional retailers are based in more rural areas where company executives believe their shoppers are less tech savvy, relieving pressure on digital imperatives. According to Pew Research, 95% of Americans own a cellphone in 2018, with 77% of Americans owning a smartphone. Pew also calls out that in 2018, 89% of Americans use the internet. Location is no longer a proxy for customer technology illiteracy.  This year, Amazon is projected to realize over $258 billion in U.S. retail sales, an estimated 49% of all online retail spending in the United States. With this kind of penetration, and the ability to ship products anywhere overnight, traditional supermarket retailers would do well to remember that their shoppers are increasingly expecting (demanding!) the seamless and comprehensive user experience provided by Amazon, and increasingly by Kroger and Walmart. Yet, too many retailers remain mired in digital purgatory, constrained by capability silos and the inability to bring piecemeal capabilities together in a seamless fashion for shoppers.  Lastly, many seasoned grocery executives have spent their careers being rewarded for following, letting someone else bring innovation to market and only following when it has been proven successful. Years ago IT executives would buy IBM, even if it wasn’t the best choice, but because it was the "safe" choice. This practice continues today as retailers sign deals with "established" providers because they believe it is the safe choice, failing to understand that today’s environment rewards fresh, forward-looking thinking. Retail executives need to look beyond yesterday’s approach to customer centricity to capabilities and platforms that actually position the retailer for future success. The cost of failing to provide a seamless shopping experience, for failing to provide true individual shopper personalization, and failing to provide real time contextual relevancy, can rapidly obliterate any savings or security from yesterday’s "proven" approach. Tom Furphy, a former Amazon executive and the originator of Amazon Fresh, in a recent interviewspeaking to the challenges retailers face today, especially a reliance on past practices, says it all: “What seems safe is actually destructive. That’s a recipe for longer term disaster.” This article originally appeared on Winsight Grocery Business and can be viewed here +MORE

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