Inventory forecasting
Inventory forecasting that tells you what to stock, where, and how much
Know what to stock, in which SKU and how much — from geography, multi-year sales history, buying trends and more.
The problem
Stocking decisions made from last month’s sales and gut feel leave cash tied up in the wrong SKUs while the right ones run out.
What we build
- A forecasting engine that monitors inventory continuously, not once a quarter
- SKU-level recommendations: what to stock, how much, and where
- Integration with the inventory, order and sales systems you already have
- Ongoing tuning as buying trends and your range change
What it learns from
- Geography and location-level demand
- Sales history across multiple years
- Buying trends and seasonality
- Other variables specific to your business
What you get
- Fewer stock-outs on the products that sell
- Less cash tied up in slow-moving stock
- Stocking decisions backed by data, not guesswork
Built for
The people who own the decision
- Heads of supply chain and inventory
- Operations directors
- Warehouse managers
- 01
Fit sprint
We check your data sources and integrations against the problem, confirm what the data can support, and pick the right solution, architecture and platform — before anything is built.
- 02
Milestone-based build
We develop the decision engine in milestones you can see and check. Depending on scope it runs from about a month to six months, or up to a year.
- 03
Go-live and maintenance
We deploy it, run it and maintain it after launch, so it keeps working as your business and your data change.
Inventory forecasting: questions
How much sales history do you need?
More history helps, because multi-year patterns are one of the strongest signals. We assess exactly what your data can support during the fit sprint, before any build starts.
Does it replace our inventory system?
No. It works alongside the systems you already have, reading from them and returning recommendations your team can act on.
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Have a decision your data should be making?
Start with a fit sprint. We check your data, confirm what it can support, and show you the architecture and milestones before anything is built.