Predictive analytics Stock lasts nine more days. The supplier needs fourteen.
We build forecasts for demand and reordering from your sales and stock data, per item and warehouse. So you know in advance, not when the customer calls.
Ball bearing 6205
- Stock
- 420 pieces
- Expected usage
- 46 pieces per day
- Runs out
- in 9 days
- Lead time
- 14 days
Suggestion: order 900 pieces today
Sound familiar?
Planning by gut feeling works until it does not.
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Sold out
The customer wants to order, the item is gone, and the next delivery is three weeks away.
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Full warehouse
At the same time, slow movers have been sitting on the shelf for months, tying up cash.
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Spreadsheets and experience
Planning lives in one person’s head and in a spreadsheet only they understand.
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Silent churn
A regular customer orders less often. Nobody notices until they are gone.
What we forecast
Three questions asked every week.
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What will be needed?
Demand per item, warehouse and customer group, including seasons and known promotions.
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When do we need to order?
Order suggestions from forecast, lead time and safety stock, for purchasing to approve.
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Who is suddenly ordering less?
Customers whose ordering rhythm breaks off land on a list for sales.
How we work
One category first. Then the comparison.
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Understand the data
Sales, stock and lead times from ERP or shop. Exports are enough to start.
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Set up a pilot
One product category or one warehouse, with a clear question and a clear measure.
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Measure against current planning
Forecast and gut feeling run side by side. Whatever is demonstrably better stays.
Common questions
What you should know beforehand.
What data do you need?
How much history is needed?
Do we need new IT infrastructure?
What happens to our data?
What does it cost?
Highs or lows in your stock? Your sales data shows them sooner than any barometer.
We calculate with your sales data instead of rules of thumb and show what it brings using one category.
