Analyzes sales history and forecasts demand for every SKU and every region. Recommends purchase volumes and flags shortage and overstock risk. Integrates with 1C, SAP and any ERP system.
For whom: retail, wholesale distribution, FMCG, pharma, manufacturing — companies with an assortment of 500+ SKUs. A more advanced pilot: requires quality sales history of at least 6 months. Pilot duration — 8–10 weeks.
Buyers rely on intuition — the warehouse is either overstocked or empty. Both scenarios cost money.
Seasonality, promotions and external events are not accounted for — shortages during peak periods are guaranteed.
Calculating demand for 5,000+ SKUs manually is impossible — only major items get attention, the long tail is ignored.
Distribution across regions is the same for the whole network — it ignores different demand profiles.
No one sees the risk of expiring goods in advance — the loss is discovered during inventory counts.
Planning takes 2–3 days of collective work every month — even though the data is already there.
We agree on the metrics with you before work begins. If we don't reach them — we work until we do, or refund proportionally.
The model trains on your sales history. It accounts for trends, seasonality, weekends, holidays and external factors.
A notification when an item risks not selling in time — with a recommendation for a promotion or transfer.
Separate models for each location or region. Stock is redistributed based on local demand.
Pulls sales, stock and orders directly. Purchase orders are created in 1C automatically.
Enter planned promotions — the system adjusts the forecast. Historical data on past promotions is taken into account.
Classification of the assortment by volume and demand stability. Updated weekly without an analyst.
An order plan: what, how much, when and from which supplier — accounting for lead times and safety stock.
The buyer sees a prioritized list, the commercial director sees a network-wide summary on one screen.
We'll start by analyzing your sales history — within 5 business days we'll show the first forecast for the assortment. The pilot is 8–10 weeks: 3 weeks on data and the model, 5–7 on measuring accuracy.
