Reprice your whole menu for in-store and delivery in a couple of hours with ChatGPT instead of five days
Ted Taylor, an independent franchisee running three co-branded Schlotzsky's and Cinnabon restaurants across New Mexico (OpenAI customer story)
He first uses ChatGPT Work to research pricing targets and strategy from local competitors' pricing trends, portion sizes and relative food quality. Then he gives it a categorized list of menu items with current in-store and delivery prices, how much he wants each set of prices to rise overall, and which items should get bigger or smaller increases. Adding item-level sales history and supplier prices lets it estimate sales impact and optimize around cost-of-goods targets. It returns a spreadsheet of recommended in-store and delivery prices tied to an overall strategy (retention, avoiding price shocks, positioning add-ons).
ChatGPT Free $0; Go $8/mo; Plus $20/mo; Pro $100/mo. He uses ChatGPT Work; the story doesn't give its price.
Medium · or we set it up for $197
ChatGPT
The problem
His annual menu repricing meant weighing recipe costs, item popularity, local competitors' prices, portion sizes and the different economics of in-store and delivery orders, and it took him about five days.
What happened
OpenAI's story reports pricing analysis down from 5 days to 1-2 hours, a 95% cut. The first time, Taylor also did the analysis by hand: "ChatGPT Work made a deeper local comparison and helped me avoid increases that would have made some items uncompetitive," he says. He now starts from its recommendations and adjusts.
Quoted in the source: Ted Taylor, independent franchisee, Schlotzsky's and Cinnabon. Source: OpenAI: Franchisee reconciles cash in 94% less time with ChatGPT Work (Ted Taylor, Schlotzsky's and Cinnabon franchisee) (2026-10-20) · Added 2026-10-21.
How to set it up yourself
- What Taylor does: ChatGPT Work researches local competitor pricing first, then takes his categorized menu with in-store and delivery prices and target increases and returns a spreadsheet of recommended prices.
- Build one sheet: every menu item with category, current in-store price, current delivery price, plate cost, and units sold over the last 3-6 months from your POS.
- Write down your rules before you start: the overall increase you want, items you won't touch, your food-cost target and how much higher delivery prices should run.
- Upload the sheet with the prompt below, then check the top sellers and any item rising more than your limit against your own read of the neighborhood.
- The first time, do your usual repricing side by side, as Taylor did, and compare before you print menus or change your POS and delivery apps.
Copy-paste prompt
Attached is my menu for {RESTAURANT} in {CITY}: item, category, in-store price, delivery price, plate cost and units sold over {PERIOD}. Recommend new in-store and delivery prices so the overall increase is about {PERCENT}% and food cost stays near {FOOD COST TARGET}%. Rules: don't change {ITEMS TO HOLD}, keep delivery prices {DELIVERY MARKUP} above in-store, and avoid any single increase over {MAX INCREASE}. Return a spreadsheet with old price, new price, change, new food-cost % and a one-line reason, and flag the items where a big increase could cost me regulars.We set up one AI automation in your tools, live within 48 hours of getting access, for $197. No call needed. Founding price for our first 10 customers (regular $297).
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Tools used
ChatGPT
General AI assistant for writing, research, brainstorming and analysis.
From Free $0; Go $8/mo; Plus $20/mo; Pro $100/mo (checked 2026-10-20)
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Checked prices: ChatGPT: from Free $0; Go $8/mo; Plus $20/mo; Pro $100/mo (verified 2026-10-20)
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