Franchisee reconciles cash in 94% less time with ChatGPT Work
Summary
Ted Taylor, a former semiconductor professional turned independent franchisee of three Schlotzsky's and Cinnabon restaurants in New Mexico, uses OpenAI's ChatGPT and ChatGPT Work to streamline operations. For menu repricing, a task that previously took days, ChatGPT Work analyzes costs, sales, and competitor data to deliver item-level pricing recommendations in hours, reducing time by 95%. It also aids labor management by analyzing labor data to flag overtime and coverage gaps, and by generating optimized weekly schedules that could save $50,000 to $100,000 annually in labor costs. Additionally, Ted uses ChatGPT Work for back-office tasks like drafting HR policies, reconciling cash (cutting monthly reconciliation from three hours to 5-10 minutes, a 94% reduction), summarizing payroll inputs (saving four hours per cycle), and building a supply/repair request portal. His practical approach involves providing the same data and guidelines he would use, reviewing outputs, and gradually expanding usage. The technology frees him to focus on customers, employees, and business growth.
(Source:OpenAI)