Review LIGHTNING ROUND
the goal of receiving instant answers about store performance rather than waiting on formal reports. To read the complete presentation and discus- sion from the January 2025 meeting, download the CLVG Vision Report, CLVG Lead the Future: Transformative AI Strategies . AI has been the topic of numerous Vision Group meetings. Download these other Vision Reports to read more GCVG Do You Want Chips With That? , April 2025 CxVG Owning the Numbers: Data-Driven Decisions from Strategy to Store , May 2025 CLVG Lead the Future: Transformative AI Strategies , January 2025 CTVG Generative AI and Retailing: Real Results and Real Challenges , January 2024 CLVG AI: Predictive Fuel and Dynamic In-Store Pricing , December 2023
AI’s Growing Impact on Retail Operations
Greg Parker and his colleague Scott Smith , Parker’s vice president of IT and Convenience Technology Vision Group (CTVG) member, shared that their successful “Smart Kitchen” system, developed and implemented in-house seven years ago, uses AI to enable just-in-time food preparation. By analyzing traffic patterns, weath - er data, and other variables, the system achieves 94-95% accuracy in predicting short-term food sales, such as forecasting how many chicken tenders will sell in the next 15 minutes. The tech- nology stack supporting these initiatives includes multiple AI models. Parker’s utilizes ChatGPT, Claude, and custom Azure implementations to power their food forecasting software. Applica- tions extend beyond foodservice to fuel pricing forecasting and delivery logistics. A newly-created Parker’s Business Intelligence department is tasked with analyzing the data and quickly bringing learnings to the team with
In the Lightning Round, Facilitator Roy Strasburg- er asked participants to share their thoughts and new experiences since the January 31st CLVG meeting which featured a presentation about successful AI implementation. Kevin Smartt shared that TXB has tested AI camera vision systems for over two years with strong benefits, though cost remains a barri- er to chain-wide deployment. That technology offers advantages in safety monitoring, customer service enhancement, and inventory manage- ment. Smartt also detailed using AI for fuel pricing and admin tasks. However, he is conscious of “data overload.” He states the challenge is sort- ing out “what’s actionable data for us and what’s meaningful data? What are we going to have return on investment on?”
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