Surepros ai

From Beans to Bucks: Optimizing Inventory to Boost Profit at Jane’s Cafe

Use Case: Streamlining Inventory Management for Jane’s Cafe with ChatGPT Insights


Jane’s Cafe, a bustling local hotspot, has been serving the community with delicious sandwiches, aromatic coffee, and delightful pastries. While the cafe has been doing well in terms of sales, Jane faces challenges in inventory management, specifically concerning her coffee bean orders. Wastage was draining her profit margins.

The Challenge:

For the month of September:

  • Coffee beans purchased: 100 bags
  • Cost per bag: $20
  • Total investment in coffee beans: $2,000
  • Actual coffee beans consumption: 75 bags
  • Wasted coffee beans: 25 bags (expired/unsold)
  • Total revenue from coffee sales: $5,000

Jane’s wastage, amounting to a staggering 25%, was a concern. She was essentially losing $500 from potential profits just from wasted coffee beans.

The ChatGPT Intervention:

By leveraging ChatGPT’s analytical capabilities, Jane sought to understand and tackle her inventory challenges.

ChatGPT’s Findings:

  1. Direct wastage cost for September was $500.
  2. Without considering other overheads, the profit from coffee was reduced to $2,500 after accounting for wastage.


  1. Predictive Ordering: Utilizing past sales data, upcoming weather predictions, and local event schedules, ChatGPT recommended adjusting the order quantities. For instance, if past data showed October had a 10% dip in sales compared to September, Jane should adjust her orders.
  2. Loyalty Incentives: Introducing a “Double Stamp Day” on coffee loyalty cards during historically slow days could spike sales and reduce wastage.
  3. Adaptive Promotions: If by the third week of any month, Jane realizes she’s going to have excess stock, a timely promotion, like “Buy One Get One Half Off,” could boost sales and minimize wastage.
  4. Supplier Negotiations: ChatGPT proposed that Jane negotiate smaller but more frequent deliveries with her supplier to ensure the coffee beans’ freshness and reduce stockpile.


After implementing these recommendations in October:

  • Coffee beans ordered: 90 bags
  • Actual consumption: 85 bags
  • Wasted coffee beans: 5 bags
  • Wastage rate slashed to just 5.56%.

Financial Impact:

By reducing wastage, Jane saved on 20 bags in comparison to September. This translated to direct savings of $400 for the month of October alone.


Effective inventory management, driven by AI insights from ChatGPT, can lead to substantial financial savings. For small businesses like Jane’s Cafe, where every dollar counts, such insights can be transformative, ensuring sustainability and growth.

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