Franchisee reconciles cash in 94% less time with ChatGPT Work

Ted Taylor entered the restaurant business after a 25-year career in the semiconductor industry. Today, he’s an independent franchisee operating three co-branded Schlotzsky’s and Cinnabon restaurants across New Mexico.

Running quick-service restaurants means balancing the customer experience with a lot of work customers never see, like menu pricing, staffing, equipment maintenance, and policies. Ted uses OpenAI technology to get through all of it faster.

With ChatGPT, Ted accelerates time-consuming tasks like research and drafting, and he uses ChatGPT Work to gather and analyze volumes of data across pricing, sales, forecasts, schedules, and labor and to get recommendations on where each restaurant needs attention, reducing repricing time by 95% and shaving 4 hours off payroll runs.

“ChatGPT Work’s recommendations are so good that it’s much faster to start there and then make adjustments.”

—Ted Taylor, independent franchisee, Schlotzsky’s and Cinnabon

Repricing menus across three markets in minutes

Repricing menus is an annual undertaking that requires a complex analysis of recipe costs, item popularity, local competitor pricing, portion sizes, and the different economics of in-store and delivery orders. Ted uses ChatGPT Work to bring those factors together and get pricing recommendations in 1 - 2 hours instead of 5 days.

“It used to take me a few days of work to analyze and come up with item-level pricing; whereas, ChatGPT Work tears through it in a matter of moments and does it more thoroughly.”

—Ted Taylor, independent franchisee, Schlotzsky’s and Cinnabon

He can make the analysis more detailed by adding item-level sales history and supplier prices. ChatGPT Work can use these inputs to estimate sales impacts from price changes and to optimize item-level pricing around cost of goods targets.