Forecast demand. Plan replenishment. Decide with evidence.
StockSense AI helps planners at a multi-category Egyptian retailer read demand and prepare replenishment, transfer, and markdown actions across branches in Cairo, Alexandria, Mansoura, and Tanta, and the e-commerce channel. It computes the numbers, explains the reasoning in plain language, and hands the decision to the team responsible.
A planning assistant, not automated procurement. Every figure is computed for a person to review — StockSense never places an order.
Forecasts you can read
Demand by SKU, branch, and channel over a 7-, 14-, 30-, or 60-day horizon, each with a confidence level and the drivers behind it.
Actions with a rationale
Replenish, transfer, mark down, or hold — with a quantity, a suggested order date, an owner, and an explanation for each.
A brief for the review
One planning brief that names the top stockout and overstock risks, the assumptions made, and where the data is thin.
- It does not place orders or execute purchase orders automatically.
- It does not connect to live ERP, POS, or warehouse systems.
- It does not negotiate with suppliers or optimise warehouse layout.
- It supports the decision; the responsible retail team makes it.
Choose what to plan for.
Set the horizon, category, branch, channel, and objective. Your selection carries through the data overview, the forecast, the recommendations, and the brief.
See the data behind the plan.
Before forecasting, review what the plan is built on: the SKUs in scope, recent sales, current inventory, stock on order, supplier lead times, and the promotion calendar.
Use your own data
The overview above runs on pre-loaded sample data. You can upload one dataset at a time to validate it against the StockSense schema. Uploads are checked and reported only — if any row fails, the sample data is kept and nothing is overwritten.
Download the sample CSV templateDemand over your horizon.
Forecast units by SKU, branch, and channel, each with a confidence level, days of cover, expected stockout date, risk flags, and the drivers behind the number.
Actions for the team to review.
Replenish, transfer, mark down, or hold — each with a priority, a quantity, a suggested order date, an owner, and the reasoning.
One brief for the review meeting.
A concise brief: the forecast summary, the top stockout and overstock risks, the recommended actions, the assumptions made, and where the data is thin.