Retail that responds at the speed of change
The operators leading the convenience channel aren’t just reacting to change, they’re ahead of it - making faster, better-connected decisions across every store, every daypart, every category.
Come see what that looks like in practice.
October 7-9, 2026 | Las Vegas
The practical path to scalable AI in Convenience Retail
Convenience and fuel retailers operate on some of the thinnest, fastest-moving margins in retail — store by store, hour by hour. Fuel margins swing with the market. Foodservice and fresh categories compete against tightening labor. Snacks, beverage, and general merchandise turn fast and vary store to store. And CPG partners now expect a real-time view of the shelf, not a monthly report.
Yet most operators are still held back by:
- Assortment and planogram decisions built on last quarter’s data, not this week’s demand
- Promotions planned in isolation from fuel, foodservice, and the supply chain behind them
- Manual, store-by-store reporting that delays action
- Retail media and CPG programs still running on spreadsheets instead of real shelf data
Turn Data and AI into your competitive advantage
At NACS Show, discover how SymphonyAI helps convenience and fuel retailers scale AI as a practical, connected foundation — not a lab experiment. The CINDE Connected Retail Platform brings together assortment and space, inventory, promotions, retail media, and store execution in a single AI-native system built for the realities of this channel: thousands of small-format stores, fast-turning categories, and margins that live and die by the decision.
Every store sees the same picture. Every promotion accounts for fuel, foodservice, and the supply chain behind it. And AI agents bring recommendations straight to the people who act on them — store managers, category leads, and marketing teams alike.
Meet at NACS
AI Use Cases Featured at NACS
The best way to understand the platform is to see it in action. At NACS Show, SymphonyAI is demonstrating four connected capabilities built for the convenience channel.
Optimize every assortment decision for every store
AI-driven assortment and space optimization that accounts for local demand, format size, and store-level variation — so fast-turning snack, beverage, and foodservice categories reflect what’s actually selling in each store, not the chain average.
Catch shelf problems before they cost you
Store Intelligence ranks issues by dollar impact, not guesswork — so teams stretched across hundreds of stores fix what actually moves sales first.
Convert pump traffic to store customers
Retail Media Intelligence turns shopper and campaign data into offers worth acting on — so the right promotion reaches the right customer at the pump, converting more forecourt visits into food court and in-store sales.
Keep inventory where the demand is
Inventory and replenishment intelligence built for convenience’s short shelf life and high turn — reducing out-of-stocks on best sellers and shrink on perishables and foodservice, without adding labor.
Proven with the operators who move fastest
A leading convenience retail chain operating across widely dispersed store locations — including many rural markets where consistency is hardest to maintain — uses connected assortment optimization to get the right products into the right stores at the right time, with real-time planogram compliance monitoring that keeps execution consistent even far from headquarters. Category teams work from one shared, data-driven view instead of store-by-store guesswork — and the same visibility that improves the shelf has also made frontline roles easier to do well, supporting store-level talent retention.
Webinar: "Smarter Stores, Satisfied Shoppers: QuikTrip's Merchandising Transformation"
Separately, a national fuel and convenience retailer is unifying transactions across the pump and the store for the first time — giving its CPG partners a complete, transaction-level view of the customer journey. That connected view is opening up new promotion effectiveness measurement and assortment, pricing, and placement decisions by location that weren’t possible when fuel and in-store data lived apart.
Webinar: "The missing link: Connecting fuel and in-store behavior"