Predictive Insight

The problem

Forecasting on gut feel and last year plus ten percent means someone always pays: stockouts on the lines customers wanted, write-offs on the ones they didn't, and cash tied up in the wrong inventory. Problems announce themselves only after they've already cost money.

How we deliver

1. 1.Get the data foundation right. Models are only as good as their inputs — we consolidate and clean your sales history, seasonality and market signals first.
2. 2.Build and validate the models. We train forecasting models on your data and prove their accuracy against months you already know the answer to, before you rely on them.
3. 3.Put recommendations in the workflow. Forecasts and alerts land inside the dashboards your team already uses — not in a data-science silo.

What you get

• Demand forecasts

  SKU-level projections that update as new sales data lands.

• AI recommendations

  Plain-language suggestions on stock, pricing and promotions.

• Anomaly alerts

  Flags on unusual movements before they become month-end surprises.

• Scenario planning

  What-if views for promotions, price changes and new listings.