Use your exports
Sales by product, current stock and supplier lead times. First, we check whether the data is usable.
For retailers planning in spreadsheets
What to buy. How much. And when.
We turn your sales and stock data into a purchasing plan tailored to your business.
Statistical analysis and demand forecasting from your sales data. You keep control of purchasing decisions.
Your next purchase
Purchasing priorities
Sample data
| Product | Stock | Cover | Buy |
|---|---|---|---|
| Shampoo 250 ml | 18 | 9 days | 48 |
| Hair mask 500 ml | 6 | 6 days | 27 |
| Travel brush | 80 | 140 days | 0 |
Shampoo · Example explanation
Average sales: 2 units/day. Supplier lead time: 12 days. Target cover: 21 days after arrival. (12 + 21) × 2 − 18 in stock = 48 units. The pilot would assess variability, missing data and incoming orders.
How it works
Review priorities
Compare demand forecasts with a simple baseline. Test machine learning (ML) if the data supports it, and keep it only if it improves forecast accuracy.
Make your decision
Adjust and export the list. Compare recommendations with your current approach before using them.
Built for your business
A purchasing plan built from your data.
Up to 100 products. Data review, replenishment list and a results session. Target: two weeks after data and scope approval.
No guaranteed savings. Scope and any ongoing costs agreed before payment.
US$500Indicative setup price