Restaurant Operator in New Mexico Speeds Up Processes with ChatGPT Work

Ted Taylor, a former semiconductor industry worker who operates three Schlotzsky's and Cinnabon restaurants in New Mexico, has saved significant time and accelerated routine tasks in operational processes such as menu pricing, staff scheduling, and cash register reconciliation by using ChatGPT Work.

Ted Taylor, who stepped into restaurant management after a 25-year career in the semiconductor industry, began using ChatGPT Work for data analysis and administrative tasks. Thanks to the artificial intelligence integration, menu pricing analysis across three markets dropped from 5 days to 1-2 hours, while monthly cash register reconciliation procedures decreased from 3 hours to 5-10 minutes. Additionally, a 4-hour manual workload in payroll processes was eliminated during each cycle.

Labor analyses and weekly schedule tests conducted with system-based employee payroll and shift data carry the potential to contribute to free cash flow by lowering hourly labor costs in the future. Taylor also benefits from this technology in daily operational tasks such as drafting human resources policies, creating social media guides, and setting up a web portal for supply and repair requests.