Adam Fox brings a luxury buyer’s eye to retail analytics, websites, and pitch decks. His boutique consultancy treats the way a business looks as part of the way it works.
A warehouse conveyor, an airport checkout and a Finnish substation explain Hanwha Vision Europe’s bet: cameras become more useful when they help people act on what they see.
Furniture Village cut checkout from 20–30 minutes to five with Red Ant’s retail software. Behind the faster sale is a bigger ambition: giving store associates the information, tools and credit to serve customers wherever they buy.
Where should the next store go, and what should it charge? Kalibrate has built a business around those expensive questions - with retail forecasts, fuel pricing software and a growing debate over algorithmic power.
EYC turned loyalty data into decisions about what to stock, promote and put on the shelf. Its journey into SymphonyAI shows why knowing the shopper was only half the job.
A coupon should not need a passport to travel from an app to a till. Flooid’s business is making the rules of retail work across both - and its customers show why that is harder than it sounds.
Retailers have oceans of data and five minutes to act. Retail Insight's bet is that the valuable product is not another dashboard - it is the next task, ranked, explained and pushed to the person who can fix the shelf.
Revuze started with a travel-planning idea, found its real market in retail, and built an AI system for turning scattered customer comments into product fixes, sharper listings and earlier warnings. The bet is simple: a complaint becomes valuable when someone knows what to do next.
In 2001, a nearly insolvent software company chose a brutal third option: shrink to 75 people and build the cloud network nobody in retail wanted to maintain. Twenty-five years later, that network moves more than 750 million transactions a year - and its next test is whether all that memory can make AI useful.

First he helped shoppers make sense of strains. Then he gave an unruly retail industry a dashboard. Cy Scott’s second act is a patient lesson in turning messy information into useful decisions.

A clipboard problem became a trillion-point data business. Ben Reich spent a decade making the grocery shelf legible - then took Datasembly into SPINS.
Cannabis shops do not usually run out of data. They run out of clean answers. Happy Cabbage bet that the sharper business is not sending another text - it is stopping cash from going stale in the stockroom.
Yipit started by saving shoppers from coupon-email purgatory. When daily deals cooled, its founders discovered that hedge funds would pay far more for the machinery underneath - a pivot worth studying by anyone sitting on an overlooked data asset.
FoodHealth's first nutrition app tried to do everything and did none of it especially well. Two pivots later, its 1-to-100 score is inside major grocers, industry data products and a new GLP-1 shopping app - a useful lesson in saving the engine while scrapping the vehicle.
A pair of Salt Lake City founders - one ex-VC, one ex-McKinsey - built software that lets chains like Kum & Go, Dick's, and Woolworths test a store idea in a few dozen locations before betting the whole business on it. Then they took the incumbent to court.
Retail brands were still sending people into stores with clipboards. Datasembly built a live map of the shelf, raised roughly $35 million, and joined SPINS - here is where its speed advantage works, and where it does not.
PriceSpider spent 20 years turning a little 'Where to Buy' button into a business. Now, rebranded as Wayvia, it is wagering that the next shopper won't be a person at all - it will be an AI agent doing the buying.

The Standard AI CEO built her career by listening to the people closest to the work. Her latest assignment is a company pivot that turns ceiling cameras into a new source of retail intelligence.
It sits behind the return counter at most of America's biggest stores, deciding in a fraction of a second whether to trust you. Here is how a quiet analytics company turned $796 billion in retail loss into a business.
Every purchase leaves a clue. Capillary Technologies turns billions of those scattered signals into loyalty programs that can recognize a shopper, choose a reward and act before the relationship goes cold.

From consumer goods and checkout data to cloud platforms and media AI, Jennifer Burke has spent her career translating new technology into a business case people can trust.
A rewards app collects the receipts. A global measurement system turns them into a living map of consumer behavior - linking what shoppers say to what they actually buy.

After years turning retail data into recommendations at dunnhumby, Deloitte and Bain, Thomas McKenna chose the harder brief: build the product, assemble the team and make advanced ecommerce AI useful beyond the largest retailers.

He walked away from hedge fund money to help old-line manufacturers see what is really happening on the shelf. Now Philip Odelfelt is turning messy retail data into a $27 million bet on the building materials industry.
Intelmatix is a deep-tech enterprise AI company founded by MIT-trained technologists that builds EDIX, an Enterprise Decision Intelligence Platform designed to act as a 'digital brain' for organizations. Using context-aware AI agents, knowledge graphs and generative AI, EDIX lets companies sense, learn, decide and act across functions like demand forecasting, inventory, workforce planning and site selection - without needing an in-house data science team. Headquartered in Riyadh with offices in London and Boston, Intelmatix focuses on the MENA region, training on local context data that global platforms overlook. It raised a $20M Series A in 2024 - the region's largest AI Series A of its kind - and in 2025 became the first Saudi and MENA AI company named a World Economic Forum Technology Pioneer.
Kepler Analytics is a Melbourne-founded retail technology company that helps brick-and-mortar retailers grow store sales through AI-powered foot-traffic sensors and a cloud analytics platform. By measuring how many people pass by, enter, dwell and convert in a store, Kepler turns physical retail into a data-driven operation - benchmarking store performance, guiding staffing and layout, and informing where to open, close or renegotiate leases. The company serves roughly 500 retailers across more than 30,000 locations in 35 countries.
The TJX Companies, Inc. is the world's largest off-price retailer of apparel and home fashions, operating more than 5,200 stores across nine countries under brands including T.J. Maxx, Marshalls, HomeGoods, HomeSense, Sierra, TK Maxx, and Winners. Headquartered in Framingham, Massachusetts, TJX buys excess inventory, closeouts, and canceled orders from thousands of vendors and sells brand-name and designer merchandise at prices typically 20% to 60% below full-price retailers, creating a rotating 'treasure hunt' assortment. The Fortune 100 company surpassed $60 billion in annual sales in fiscal 2026.
Omnistream is an AI-powered category-management platform that helps retailers build consumer-centric, store-level planograms in minutes. Founded in 2018 by former quant trader Wendy Chen, the company integrates a retailer's sales and product data to generate assortment and shelf-space recommendations tuned to each store's local demand. Its software is deployed across 8,500+ retail locations in convenience, grocery and health & beauty, serving names like 7-Eleven, Watsons and FairPrice, and reports incremental sales gains of roughly 4-11% alongside sharp reductions in waste.
Brian Tervo is the Boston-based Chief Executive Officer of ThirdChannel, a retail execution and merchandising technology company that pairs on-the-ground field teams with real-time software so brands can see and improve how their products show up in physical stores. A longtime operator in the B2B software and retail space, he spent roughly 14 years at supply-chain integration firm TIE Kinetix in senior North American and global roles before leading ThirdChannel. He writes regularly about closing the gap between retail strategy and what actually happens on the store floor.
Daniel Suchi is a New York-based operating executive at Grips Intelligence, an e-commerce market intelligence platform that tracks online sales across marketplaces and brands. He leads operations and finance, having previously built and scaled businesses at Akooda and Yotpo. With an MBA from MIT Sloan and time at Harvard Kennedy School, Suchi works at the intersection of data, revenue operations, and go-to-market strategy, helping retailers, manufacturers, and investors turn digital sales signals into growth decisions.