Retail
Forecast the demand. Route the inbox. Sleep better through the long weekends.
For retail operators where the difference between a good month and a bad one is whether the right SKU was on the shelf and whether the support inbox was triaged before lunch. We have shipped both - forecasting models for revenue planning and LLM-based ticket triage for support teams.
What we hear on the floor
- -Demand forecasting still runs on a single-input regression and is reliably 20+ points off the actuals
- -Every long weekend buries the support inbox under 400 tickets that all need to be sorted by hand
- -A sale or a promotion swings the data hard enough to break whatever model used to almost work
- -Off-the-shelf forecasting tools optimise for SaaS dashboards, not for the SKU-level decisions you actually make
- -Customer satisfaction quietly slides when first-response time creeps from one hour to four