Retail Analytics

Discount. It is a small word, but in retail it is not decorative. It changes what people buy, how much they buy, whether they switch brands, whether they stockpile, whether distributors clear inventory, and whether a manager later pretends the promotion was “strategic” rather than simply expensive. This is where many LLM-agent demos become fragile. They can describe a discount. They can explain why a rational consumer might respond to it. They can even role-play a price-sensitive shopper with theatrical enthusiasm. But describing incentive response is not the same as simulating it. A consumer simulator that treats price as one more piece of text is not an economic simulator. It is a chatbot wearing a shopping cart. ...

Inventory is the moment when a forecast stops being a spreadsheet exercise and starts costing money. A demand model can look elegant in validation. It can shave RMSE by a few decimals, win a leaderboard, and make the data science team briefly feel like civilization has advanced. Then the warehouse over-orders slow-moving stock, the store misses fast-moving items, and the finance team discovers that “better accuracy” is not the same thing as better cash flow. ...