Forecast demand and replenish without the spreadsheet grind
A multi-brand retailer
A multi-brand retailer could replace stale spreadsheet forecasts with models that see the signals that drive demand. The idea: a pipeline that forecasts per item and location, drafts the replenishment plan, and explains every number.
The opportunity
Demand planning often runs on spreadsheets and gut feel. Forecasts are stale by the time they ship, stockouts and overstock both eat margin, and nobody can explain why a number moved. The opportunity is to bring the real drivers, like promotions, seasonality, and weather, into a forecast the team can trust.
Target outcome
stockouts and less overstock
What we would build
No black box. These are the concrete pieces we would put in place, in the order they matter, with a human in the loop wherever the stakes are high.
- 1
Combine sales history, inventory, promotions, and external signals into one store
- 2
Train per-item, per-location demand models and ensemble them against simple baselines
- 3
Produce forecasts with confidence ranges and a breakdown of the drivers behind each one
- 4
Translate forecasts into replenishment and safety-stock plans tied to service-level targets
- 5
Surface the large swings to a planner with the reasoning attached for a quick decision
Representative stack
We choose tools to fit the job and your constraints, and favor open-source and local options where they fit. We are not tied to any one vendor.
Time to value
We start narrow, prove the result against your real baseline, and expand once it holds.
More ideas
Cut loan document review from days to hours
A specialty lender drowning in manual document review on every loan file could turn that work over to an agent. The idea: extraction and reconciliation that reads the package, checks it against policy, and surfaces only the exceptions an analyst needs to decide.
Give clinicians two hours back per day on prior-auth
A multi-site health system losing clinician time to prior-authorization paperwork could hand that work to an assistant. The idea: draft requests from the chart, grounded in payer rules, with a clinician sign-off built in.
Clear shipment exceptions before customers notice
A third-party logistics operator handling shipment exceptions by hand across many systems could automate the routine ones. The idea: an agent that watches shipments, reads the documents, resolves routine exceptions, and keeps customers updated on its own.
Want to put this idea to work in your business?
Take the assessment. We start from the outcome you need and turn it into a fixed-price plan in one working session.