Big data & business intelligence tools

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, 2 Mark Hagland, “Medicare Actuaries: U.S. Healthcare Spending to Soar to $5.631 Trillion and 20.1 Percent of GDP in 2025”,, (July 18, 2016) 3 Drug Store News, Future Trends: Self care, wellness shift to drive innovation in new, emerging health segments,, (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

The Shaky but Awesome Future of Retail

Shekar Raman, Birdzi

We live in exciting times. The pace of progress in technology far outstrips the pace at which we are coming up with ideas of its applications. Hence the endless stream of exciting startups that come up with new and innovative ways of applying the technology and changing the way we live our lives. Exciting times indeed. There are however a few things that seem to take forever to change and are at contrast to everything else that is happening. Take for instance the retail industry—arguably one of the oldest and most established industries. For years, things have been done a certain way, and the adage ‘if it ain’t broke, don’t fix it’ seems to be a recurring theme in this sector. Innovation meets inertia, and the result is often slow, sluggish progress. But as Dylan said, ‘the times, they are a changin’ . The technology innovation and competition to traditional brick-and-mortar is forcing traditional retailers and even supermarkets to sit up and take notice and start thinking about changing the way we have thought of retail. In particular focus is the astronomical adoption of the smartphone. In eight short years since the first iPhone was released by Apple (some people may argue that smartphones existed before that, but let’s not go there for now), 80% or more of the phones sold in the market are smartphones. More importantly ‘connected’ phones. Last year, mobile overtook desktop as the #1 way to access the Internet. Retailers have started to realize both the power that is in the hands of the consumer to research before they buy, and their own ability to reach the customer proactively with personalized recommendations.  In the mid to late nineties as the reach of the internet exploded and e-commerce seemed to be engulfing the world, the birth of Amazon, eBay,, and countless other imitators, seemed to suggest that brick-and-mortar is dead. Now, almost 20 years later, brick-and-mortar retail still accounts for more than 95% of retail sales. Long live ‘the store’! Humans are social animals, and as much as the convenience of online shopping is enticing, our very nature thirsts for interaction and exploration. So what does all this mean? There is not a minute in our daily lives that we are separated from our personal devices (looking at my kids, it seems like a minute is a long time to be separated from the phone!). This presents a huge opportunity for retailers to stay connected with customers in ways never before thought possible. However, it is only those retailers who can figure out how to keep the interaction personalized and subtle that will win the race to being effective retailers of the future.  Dealing with promotional emails from e-commerce sites or retailers has become a job in itself, and people setup email accounts just to manage that. Clearly, mass promotion is at best annoying, and given the pace of our lives, hardly effective. It seems so 2000s. The future is about personalization. Its about, ‘just let me know of things relevant to me’ at the right time and place. Doing this was unimaginable a decade ago. Only a good friend could judge your mood, intent and based on their intimate knowledge of your personality say the right words. Just imagine your local supermarket doing that with your shopping needs. Understanding your personal preferences, shopping cycle, intent and budget and suggesting (and notifying) items you may be interested in. Not in an obscene, ‘in your face’ way, but in a ‘friendly’ manner, with your best interests in focus. With the advent of big data platforms and cloud technology, processing massive amounts of data in short order and deriving insights into individual shopping behavior and then proactively suggesting products and services is now a reality. There are several exciting startups that promise just that. So what’s the hold up, why aren’t retailers flocking to this trend, or wait.. can they? If there is one obstacle that stands between most traditional brick-and-mortar stores and the future, its data. The quality of data that most retailers have on their legacy systems simply does not lend itself to the emerging platforms. We are talking about abbreviated, truncated, misspelled, crude, and just plain poor quality data. All our big data platforms, machine learning, artificial intelligence, deep learning platforms require one thing. Good clean data to learn from. Retailers who can address this fundamental issue and bring about change in how they handle and store data will put themselves in a position to own the future and offer a level of personalization that consumers will come to expect in the future. Amazon recently announced that they are planning to open up about 2,000 stores nationwide. With the quality of data they hold, I would be surprised if they don’t become a major brick-and-mortar presence, threatening even the most established players. If traditional stores don’t make fundamental changes and pay more attention to how data is collected and stored, they stand to see the ground slipping away under their feet, while trying to figure out how to hold on to their customers. The future of shopping is closer than you think, especially if you have good clean data! +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


AI Powered Promotion Optimization


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


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




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


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


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


Smart Gammified Customer Feedback Surveys and Analytics


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


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! +MORE


Crowdsourced Picking&Delivery for eCommerce


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


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


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


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


Balance Innovations Suite of Solutions

Balance Innovations


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


Personalized Shopper Engagement Suite

Birdzi Inc.


Birdzi’s Personalized Shopper Engagement Suite is made up of the following components: Personalization Engine - Proprietary algorithms track individual shopper profiles & behavior and score offers & content for each shopper based on objectives Digital Touchpoints - Connect with your shoppers through your own branded mobile app, web and email In-store Engagement - Empower your shoppers to search and locate items in-store and receive relevant offers in the aisle through beacons Offer Management and Analytics - Build and manage offers and track performance in real-time To find out more click here. +MORE




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


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


CART Weekly Report 6/13/19

CART, Advancing Retail

SURVEY: PROFESSIONALS EAGER AND READY TO DEPLOY 5G | ZDNet Gary’s Take: The rollout of 5G over the next several years will be transformative, especially for retailers. The speed of 5G is mind-blowing: A two hour movie download took 26 hours using 3G tech, 6 minutes with 4G, and will take only 3.6 seconds with 5G. Beyond speed, 5G offers much more bandwidth, enabling billions (trillions?) of IoT devices to stream data from everywhere - are retailers ready for the realtime store? And, for those regional retailers located in rural parts of the U.S. who think their customer base has not yet embraced the digital age - 5G will finally bring high-speed connectivity to all areas as it is much cheaper to deploy than cable. 5G will do nothing but increase shopper expectations of having everything they want available in moments. But is retail ready to deliver?  MARY MEEKER’S MOST IMPORTANT TRENDS ON THE INTERNET | Gary’s Take: Mary Meeker, the "Queen of the Internet", is out with this year's deck calling out the most important internet and digital trends. Her report is always fascinating to review, but long at 300+ pages. Here are a few highlights as pertains to retail: eComm is now 15% of all retail sales and growth continues to outpace brick & mortar. Internet ad spending in the U.S. is up 22%; 62% of digital ad is programmatic. Customer acquisition costs are going up - in some cases it surpasses customer revenue! Targeted advertising is under threat from GDPR and other data privacy regulations. Americans now spend 6.3 hours a day with digital media and it continues to grow. Lastly, healthcare is becoming more digital - lots of implications here, especially for the food industry.  WORD OF MOUTH REMAINS VITAL FOR LOYALTY IN DIGITAL AGE | Streetfight Gary’s Take: Interesting that word-of-mouth is as - perhaps even more - important in the digital age in securing new customers. With deep experience in retail loyalty, I would suggest that recognition is the most powerful way to build loyalty that in turn powers positive word-of-mouth. In years of working with prominent retailers in markets around the world I inevitably found that recognizing customers, especially a retailer's most valuable customers, transcended cultures. There are countless ways to provide that recognition - everything from a simple handwritten thank-you note to special offers to the store manager greeting the shopper in-store. One of my favorites occurred years ago when I helped M&M Meat Shops of Canada build their loyalty program. On Valentine's Day we had each store owner hand deliver a bouquet of roses to their top 10 customers. Talk about positive word-of-mouth! FEATURED BLOG OF THE WEEK: RETAIL’S BIG DATA CHALLENGE...AND OPPORTUNITY by Gary Hawkins, CEO CART HAPPENINGS: 2019 GMDC GENERAL MERCHANDISE MARKETING CONFERENCE, Gaylord Rockies Resort, Denver, CO - June 13-17, 2019 DISRUPTIVE LEADERSHIP & THE SELFCARE REVOLUTION​, Boston Immersion Event - Hosted July 17 & 18th, 2019 Apply to present at Retail Tomorrow Labs: Boston - Applications due June 15th, 2019 Full Agenda OUTLOOK LEADERSHIP - August 11-14, 2019 in Asheville, NC The convenience industry’s premier, invitation-only event, that you cannot afford to miss. In a world of accelerating change, where we are going and how do we build our organizations to thrive there? Sterling Hawkins will take attendees on a retail journey. C-Store operators can register today at using Invite Code: power REFLEXIONS 2019: INTELLIGENT RETAIL - August 12-15, 2019 at Caesars Place in Las Vegas GROCERYSHOP - September 15-18, 2019 at the Venetian in Las Vegas Preliminary Agenda Speakers Apply for Emerging Technology Spotlight CART COMMUNITY. GET ON THE INSIDE. MEMBERSHIP HAS BENEFITS.  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. ✔️Blogs ✔️Newsletter ✔️Webinars ✔️Accelerator ✔️Pitch Events ✔️Solution Spotlights  ✔️Innovation Programs ✔️Educational Content FOR RETAILERS>> Proven programs to advance your business FOR SOLUTIONS>>Your growth engine into retail VIEW ALL SOLUTIONS HERE CONTACT US TELL ME HOW TO GET MY SOLUTION ADDED TO CART Get the CART Weekly Report delivered to your inbox. Sign up here. Quote of the Week:  Progress is impossible without change, and those who cannot change their minds cannot change anything. ~ George Bernard Shaw +MORE

Retail’s BIG DATA Challenge… and Opportunity

Gary Hawkins, CEO, Center for Advancing Retail and Technology

Data has long powered modern retail, helping Walmart become a master of supply chain logistics and fueling Kroger’s customer-centric strategy. Artificial intelligence and the cloud are fueling explosive growth in retail big data - and transforming customer marketing. And as the retail industry moves online and customer digital engagement is the battlefield, the quality and quantity of data will determine the winners and losers.  This new world requires - more than ever - data discipline. And this is an area that is particularly challenging to smaller retailers and even some regional chains. Data discipline will make or break retail success from this day onward. Here are just a few examples of issues I’ve encountered in talking with retailers: One retailer still had super abbreviated product descriptions that were used years ago with the old (much narrower) receipts. Product descriptions coming from the retailer’s item file are used to power online shopping - abbreviated descriptions just won’t do it for eCommerce as customers won’t understand what the product is.  Another retailer’s item file lacked any kind of product categorization on nearly 50% of the products carried. Many retailers lack even somewhat accurate product graphics. Retailers with these issues cannot realistically install any kind of marketing personalization capabilities that rely upon product categorization. And yet another well known regional retailer had many products at store-level that were not represented in item files at the headquarters office; i.e. the merchandisers and buyers at the corporate office did not know what products were in the store. This situation is simply frightening; how can a retailer do effective promotion planning, demand forecasting, let alone any kind of optimization, when HQ doesn’t know what products are in each store? Data quality issues like these come back to haunt retailers when they look to deploy new capabilities like online shopping, promotion optimization, or marketing personalization - capabilities that are rapidly becoming a cost of entry to compete. And these are issues with what should be basic levels of data required to operate.  Leading retailers are leveraging fast growing data attributes attached to each individual shopper and each product.  Customer identified transaction data is just the beginning as solution providers like Birdzi calculate and maintain hundreds of data attributes for each individual shopper, from brand loyalty scores to discount propensity, and from product purchase frequency to category spending indexes. Add to this third party data from companies like Experian or Acxiom that provide dozens or even hundreds more data points. Category tags, package sizes, and pricing form the core of product based attributes. Label Insight is using AI and machine learning to deconstruct the handful of nutrition attributes on a package to encompass, dozens, hundreds, and even thousands of additional attributes for any given product. Deep nutritional data attributed to individual products is quickly growing in importance as food is increasingly linked to a shopper’s health condition. The velocity of data is growing as various solutions use realtime shopper location - both inside and outside the store - to provide contextual information. An understanding of the shopper’s intent is provided by a realtime view to what products have just been added to the shopping list, what digital coupons have been clipped, and what products have been searched for.  Cloud based solutions enable regional and smaller retailers to access cutting edge marketing personalization solutions driven by advanced data science to power relevancy across every digital engagement with each individual shopper. The cloud also brings sophisticated pricing, promotion, and product assortment optimization capabilities to retailers cost effectively. But the efficacy of these solutions is directly dependent on the quality and quantity of data feeding them.  Retailers embarking on data driven strategies would be well served to first assess the quality of their core data (product descriptions, categorization, pricing, product cost, vendor codes, and more). Retailers with loyalty programs should examine how clean and up to date their customer contact data is along with how customer loyalty IDs roll up to households (this area is particularly vexing as retailers often just distribute cards). Building on a now-solid base, consider bringing in third-party data to permit scoring share-of-wallet by customer household in addition to other attributes that can improve targeting and personalization. More than ever before, retail success is driven by data. For retailers that understand the power of data - and especially customer and product data attributes - marketing nirvana awaits. +MORE

CART Weekly Report 6/6/19

CART, Advancing Retail

WHY MARKETERS STILL STRUGGLE WITH ONE TO ONE PERSONALIZATION | StreetFight Gary’s Take: Retailers who commit to personalization and bring that commitment to life by devoting resources and budget are finding success as measured by increases in spending, shopping visits, and retention. But far too many retailers simply pay lip service to personalization, believing that putting a name on a mass email qualifies, or filtering the mass weekly ad to the shopper based on historical purchasing is the epitome of retail marketing personalization. True adherents understand that the ‘personalized ad’ becoming popular today provides little value to the shopper beyond helping guide them more efficiently to sale products they may be interested in. Much more powerful is providing meaningful savings on products relevant to each customer, not just those products vendors decide to promote. Beyond disruptive marketing economics, retailers need to develop data discipline as it is the fuel for the future. ‘SIGN IN WITH APPLE’ PROTECTS YOU IN WAYS GOOGLE AND FACEBOOK DON’T | Wired Gary’s Take: Apple’s announcement that it is giving users more control over their data is just the latest salvo in the data privacy debate. The EU’s GDPR regulations, brought into effect about a year ago, are already heavily influencing data privacy initiatives around the world. All this points to a growing challenge for marketers in the time ahead as consumers begin to push back on how their data is monetized and used without the user’s awareness. Marketers that rely on 2nd and 3rd party data to drive their digital marketing efforts should start considering how they will operate in a world of data constraint. Retailers in particular should ramp up efforts to gather 1st party data on their shoppers, in good part by focusing on driving digital engagement as fast and as comprehensively as they can. And yes, this means formulating a value proposition - often based on delivering personalized, relevant, meaningful value - to each individual shopper. WALMART’S CHECKOUT PILOT PUTS SHOPPERS IN THE FAST LANE | RetailWire Sterling’s Take: People respond to how the world occurs around them. And a small change like this could produce strong results — helping people understand the value in more physical terms (a special place to checkout). There will be some period of overlap with most of these technologies. Self-checkout still most often works in tandem with traditional checkout. As technology improves we’ll see some stores bet on some of these new technologies alone. We’ll be telling our kids there used to be a time you had to wait in line to “check out” of a store. EXPERIENCE IS OVERRATED, HIRE TALENT | RetailWire Sterling’s Take: Eagerness to learn new things, add value and ability to embrace (or even better, create) change are top in my book. 100% agree that most retail positions can be trained much easier than attitudes. When the people are aligned on values, vision and purpose (not just printed on a sign, but actually aligned as people) anything is possible. DISCOVER THE POWERFUL FINANCIAL IMPACT OF THE “HALO EFFECT” Grocery retailers can take a new and more profitable approach to promotional planning by embracing the “Halo Effect”. Learn how to uncover the powerful connections between products in Daisy Intelligence’s new eBook. FEATURED BLOG OF THE WEEK: A NEW WORLD VIEW by Gary Hawkins, CEO, CART HAPPENINGS: UPCOMING ON-SITE INNOVATION DAYS - Specifically looking for the following solutions to apply to present: Food City - July 15, 2019: Marketing & eCommerce - Health & Wellness Tech - In-Store Automation (Apply by June 10, 2019) MOBILE SHOPPING CONNECT - JUNE 10-12, 2019 in San Diego, CA THE MILLENNIAL ALLIANCE, DIGITAL RETAIL TRANSFORMATION - JUNE 11-12, 2019 in Las Vegas, NV DISRUPTIVE LEADERSHIP & THE SELFCARE REVOLUTION​, Boston Immersion Event - Hosted July 17 & 18th, 2019 Apply to present at Retail Tomorrow Labs: Boston - Applications due June 15th, 2019 Full Agenda OUTLOOK LEADERSHIP - August 11-14, 2019 in Asheville, NC The convenience industry’s premier, invitation-only event, that you cannot afford to miss. In a world of accelerating change, where we are going and how do we build our organizations to thrive there? Sterling Hawkins will take attendees on a retail journey. C-Store operators can register today at using Invite Code: power REFLEXIONS 2019: INTELLIGENT RETAIL - August 12-15, 2019 at Caesars Place in Las Vegas GROCERYSHOP - September 15-18, 2019 at the Venetian in Las Vegas Preliminary Agenda Speakers CART COMMUNITY. GET ON THE INSIDE. MEMBERSHIP HAS BENEFITS.  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. ✔️Blogs ✔️Newsletter ✔️Webinars ✔️Accelerator ✔️Pitch Events ✔️Solution Spotlights  ✔️Innovation Programs ✔️Educational Content FOR RETAILERS>> Proven programs to advance your business FOR SOLUTIONS>>Your growth engine into retail VIEW ALL SOLUTIONS HERE CONTACT US TELL ME HOW TO GET MY SOLUTION ADDED TO CART Get the CART Weekly Report delivered to your inbox. Sign up here. +MORE

A New Worldview

Gary Hawkins, CEO, Center for Advancing Retail and Technology

I want to challenge the way you believe the world works. And then suggest to you a new perspective. The place to start is understanding that our worldview is constrained by the knowledge available to us. We know what we know; for example, I know how to ride a bike. Then there are things that we know we don’t know; I know that I don’t know how to speak Russian. But then there are the things we don’t know that we don’t know. The faster things change, the less reliable our predictions of the future are because the very things that can cause massive disruption may not even have been invented yet. We don’t know what we don’t know. This is the dangerous place retail executives find themselves: Not knowing what they don’t know. Not knowing what disruption lurks around the next corner. Retailers, like everyone, are working from a certain knowledge set that by default limits their understanding of what is possible. And yet to compete successfully, let alone survive, retail executives must throw some light on the vast abyss to bring some of what they don’t know they don’t know into the light. Said another way, retailers must adopt a new worldview. Today, we as human beings are already in transition. We know the world is changing even if we don’t know why. Exponential Growth: Tomorrow Will No Longer Resemble Today We are at the knee of the exponential growth curve of computer processing power and from this day forward change will be increasingly noticeable and increasingly fast. While most are familiar with the definition of exponential growth, far fewer people truly understand the power and implications of this reality. We as human beings are wired to think linearly. Today is much like yesterday and we have lived our lives expecting that tomorrow will be much like today. Except that is no longer true, and this will become increasingly apparent. Physicist Albert Bartlett is blunt in his assessment: “The greatest shortcoming of the human race is our inability to understand the exponential function.” Today is the slowest pace of change you will experience in your lifetime. Learn more about the Age of ‘i’ in Gary’s new book, RETAIL IN THE AGE OF ‘i’: A New World View for the Retail Industry now available on Amazon. +MORE

CART Weekly Report 5/30/19

CART, Advancing Retail

ONLINE ADS CAN BE TARGETED BASED ON YOUR EMOTIONS | Vox Gary’s Take: Targeting ads using the shopper's emotional state appears to be the next step in contextual relevancy. The New York Times is using machine learning and surveys to understand the link between different types of stories and the reader's emotions, offering advertisers up to 18 different emotional states they can target. The NYT is not the only company seeking to understand emotions as recent articles call out that Amazon is working on using voice and potentially other means to understand the user's emotions. Advertisers are in search of increasing efficiency and efficacy while consumers are in search of contextual relevance. While these two 'goals' seem in alignment, I think there will come a growing pushback from consumers as more people understand they are being monetized... and not sharing in the proceeds beyond whatever offers or promotions are extended to them. ROBOT IN AISLE 3: RETAIL TURNS MORE AND MORE TO MACHINES | The Boston Globe Gary’s Take: Beyond the innovation gap, retailers need to be increasingly focused on the growing productivity gap driven by automation and new capabilities. Ahold is deploying $35,000 robots across 500 stores to monitor floor conditions (goal to avoid slips & falls) and the robots can easily be tasked with monitoring shelf conditions for out of stocks and pricing errors. Ahold is only one of a number of large retailers increasingly using automation in distribution centers and at store level to reduce costs and increase sales. To date, this is primarily a game for the largest retailers who are able to afford the cap-ex and significant investment. Automation is coming to food prep, and a number of other areas - all of which constitute a growing threat to regional and smaller retailers unable to move fast enough and leverage this technology. Interesting times lie ahead for retailers of all sizes! ARE RETAIL HQs AND STORES SUFFERING A COMMUNICATION BREAKDOWN | RetailWire Sterling’s Take: Technology won't solve it. This is a cultural issue, technology is secondary. Simplifying communications, automating more and setting expectations is key. But there also has to be a relatedness between the HQ and the store level. If HQ doesn't understand what it's like inside their stores and how to run them, they're disconnected from where their business is actually happening. ARE APPLE’S CLASSES GETTING IN THE WAY? | RetailWire Sterling’s Take: I don't see a conflict here -- they are different sides of the same coin and they reinforce each other. To separate learning would separate the Apple stores from a major component of what makes them special, some of the community aspects. Separately, there's always opportunity around new formats and learning what else might work (or work better) as retailers. FEATURED BLOG OF THE WEEK: RETAIL TOMORROW INNOVATION PROGRAM OPPORTUNITIES by Gary Hawkins, CEO CART HAPPENINGS: UPCOMING ON-SITE INNOVATION DAYS - Specifically looking for solutions in these areas to present: Wakefern - June 29, 2019: In-store Engagement - Digital Marketing - Data and Personalization Tools (Apply by May 25, 2019) Food City - July 15, 2019: Marketing & eCommerce - Health & Wellness Tech - In-Store Automation (Apply by June 10, 2019) DISRUPTIVE LEADERSHIP & THE SELFCARE REVOLUTION​, Boston Immersion Event - Hosted July 17 & 18th, 2019 Apply to present at Retail Tomorrow Labs: Boston - Applications due June 15th, 2019 Full Agenda MOBILE SHOPPING CONNECT - JUNE 10-12, 2019 in San Diego, CA OUTLOOK LEADERSHIP - August 11-14, 2019 in Asheville, NC The convenience industry’s premier, invitation-only event, that you cannot afford to miss. In a world of accelerating change, where we are going and how do we build our organizations to thrive there? Sterling Hawkins will take attendees on a retail journey. C-Store operators can register today at using Invite Code: power REFLEXIONS 2019: INTELLIGENT RETAIL - August 12-15, 2019 at Caesars Place in Las Vegas GROCERYSHOP - September 15-18, 2019 at the Venetian in Las Vegas Preliminary Agenda Speakers CART COMMUNITY. GET ON THE INSIDE. MEMBERSHIP HAS BENEFITS.  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. ✔️Blogs ✔️Newsletter ✔️Webinars ✔️Accelerator ✔️Pitch Events ✔️Solution Spotlights  ✔️Innovation Programs ✔️Educational Content FOR RETAILERS>> Proven programs to advance your business FOR SOLUTIONS>>Your growth engine into retail VIEW ALL SOLUTIONS HERE CONTACT US TELL ME HOW TO GET MY SOLUTION ADDED TO CART Get the CART Weekly Report delivered to your inbox. Sign up here. +MORE

Retail Tomorrow Innovation Program Opportunities

Gary Hawkins, CEO, Center for Advancing Retail and Technology

The Retail Tomorrow Innovation Program is a unique offering for both qualifying retailers and providers of exciting, new capabilities. The program is targeted at larger regional and national retailers and is designed to help these retailers manage innovation as a process, not a series of one-off solution deployments. As the pace of change continues to increase, retailers are growing more and more challenged to keep pace with new capabilities coming into the market. For retailers, the program provides retailers a true partner in the innovation process. The Retail Tomorrow team works with the retailer’s executive team to identify two or three areas of focus driven by opportunities or challenges. The team then sifts through the thousands of solutions in their database while in parallel reaching out across the industry and the tech world to identify any new appropriate solutions. The Retail Tomorrow group then filters through the appropriate solutions, curating the list to a dozen or a dozen and a half solution providers that are then given the chance to meet with the retail executive team for a day on-site at the retailer’s HQ. These days are built around education and networking, helping the retailer understand the latest technologies. For solution providers, these events provide an unparalleled opportunity to get in front a major retailer’s executive teams to present their capabilities and to begin building relationships. The Retail Tomorrow team works with the chosen solution providers to review your materials and coach you, all with a goal of helping you deliver a powerful presentation. Each accepted solution provider has an opportunity to present to the retail executive team, time for questions, answers, and discussion, along with networking during breaks. A ‘win’ for the solution providers is helping the retailer understand the technology, the benefits, and what’s involved with deploying, and then the retailer deciding to pilot the solution. The Retail Tomorrow Innovation Program is a powerful answer for retailers challenged to keep pace with a fast changing world and provides a proven benefit to retailers and solution providers alike. +MORE

Solution Providers need Tailored Approach

Gary Hawkins, CEO, Center for Advancing Retail and Technology

Solution providers are drawn to the massive grocery industry because of its size and scale. But successfully selling into that massive retail industry requires an understanding of how the industry is structured as different sectors require a different approach. According to FMI, there are an estimated 37,000 supermarkets in the U.S.. Here is how we commonly think about the retail vertical: National Retailers: Companies like Walmart, Kroger, Albertsons, and other retailers with national presence. Super Regional Retailers: Companies like Publix and Ahold that have an estimated 1,000 stores and are geographically concentrated (like Publix in the Southeast, Ahold Delhaize on the east coast). Mid-Market Regional Retailers: Retailers with an estimated 25-500 stores. There are many of these retail companies across the country, nearly all of them are privately owned. Independent Retailers: Retailers with fewer than 25 stores, many of them 1-5 store operators. This group represents thousands of stores across the country. One of the first things solution providers should do is determine which sector of the supermarket industry they want to focus their sales & marketing efforts on; each type of retailer has different needs. That sector focus then helps determine your sales and marketing approach. While every young tech company might love to sell into Walmart or Kroger, realistically that is a really tough thing to do early on. Better is to start with a smaller retailer, prove out your solution capability and the benefits to the retailer and/or shopper, and then have a story along with associated data supporting your claimed benefits. +MORE

Innovation for Retailers

Gary Hawkins, CEO, Center for Advancing Retail and Technology

Nearly everyone understands the innovation imperative today. The challenge is that retailers, regardless of size, have limited resources to devote to discovering, understanding, piloting, and deploying, new capabilities. Solution providers seeking to sell new innovative capabilities to retailers would do well to keep the issue of resource constraints top of mine when approaching retailers. Retail success requires incredible operational execution and retail executives spend nearly all their time focused on the day to day operations of their business.  From a sales perspective, solutions want to really think through the benefits of what your solution provides AND be prepared to clearly communicate what’s involved from the retailer’s perspective to test and deploy your capability. Be very clear on what’s required from the retailer, both initially to set things up, and then ongoing to keep your solution performing well. Work with the retailer to understand each requirement and where and when it happens on some kind of project timeline so the retailer clearly understands what is expected of them to be successful. Depending on what capabilities you are proposing, talk with the retailer about requirements at the retailer’s headquarters level and store-level as appropriate. Help the retailer understand how to operationalize your solution. Does the retailer need to train their people? Does the retailer need associates with new skill sets to use your solution? These are vitally important questions to ask and discuss as part of the sales process. It is only with clear understanding and expectations that any new innovation has an opportunity to succeed. +MORE

It’s all in the Pricing for Solution Providers

Gary Hawkins, CEO, Center for Advancing Retail and Technology

The massive retail industry represents an immense market for solution providers; that’s part of why so much innovation is flooding into retail. And while the flood of innovative capabilities available to retailers continues to grow, many solution providers - especially younger companies - make doing business with them more challenging than it needs to be by having confusing and complex pricing models. We’ve seen nearly every revenue (pricing) model there is possible, from different technologies to different market strategies. We’ve seen some succeed and others fail. Here are a few thoughts from that experience… Free: Some solutions seek to deploy their capabilities in retail stores but look to make their revenue from other sources. This could include, for example, a kiosk solution that provides offers (coupons) from brand manufacturers. The revenue model is based on brands paying, and getting the kiosk into the store (in this example) helps get more customers involved. The problem with the ‘free’ model is that retailers pay no attention to it - they have no skin in the game - and the solution will frequently wind up in the back corner, if not the back room. So while ‘free’ may sound attractive in certain cases, there is often a downside. Gain Sharing: We’ve seen some solution providers seek to get a percentage of sales or increase in margin that their solution creates for retailers. Historically, retailers severely dislike this model. Retail is too complex and dynamic, the retailer having no sure way to know that whatever revenue or margin gain is realized is attributable to a specific solution. So beware of the revenue share approach. License: This is the most straightforward approach for software solutions today; a straightforward license model. This can be tiered based on retailer size (# stores or annual revenue) or can be tied to a per-store license model. We suggest you avoid a license model that is tied to the number of users or ‘seats’, that approach has proven very unpopular. There are many variants on these and other pricing models, too many to get into here. The key message we want to convey is this: Keep you pricing model as simple and straightforward as possible and draw a direct connection between the cost to the retailer and the value your solution can create for them. +MORE