Forecast demandfrom your own sales history.
Klovio uses your sales and movement history to project demand for each SKU at each location, accounting for trend and seasonality. Each projection comes with a confidence range and feeds suggested reorder points and order quantities that your buyers review.
A flat average can over-order and under-order at the same time.
When order quantities come from a rolling average or last year's figure, the same method can leave too much of some SKUs and too little of others. Overstock ties up cash, and stockouts cost sales.
Cash tied up in slow stock
Ordering too much in one season leaves stock that may not move for months. That's working capital you can't use elsewhere, and it can end in a markdown or a write-off.
Stockouts at peak demand
Ordering too little can leave the shelf empty when demand peaks. The customer may buy a substitute, and a rush reorder adds cost.
Seasonal patterns averaged away
Many businesses have a seasonal pattern, such as a spring rush, a holiday peak or a summer lull. A flat average smooths it out, so orders are least accurate in the weeks that matter most.
From sales history to a suggested order.
Forecasts are built from the movement data Klovio already records, so there's no separate model to build or maintain in a spreadsheet.
Use your own history
Sales, picks and other stock movements recorded in Klovio are grouped by SKU, location and week. There's nothing to export or prepare by hand.
Project demand
Statistical models separate trend and seasonality from random variation, then project demand for each SKU with a confidence range rather than a single number. Forecasts are refreshed as each week of sales closes.
Suggest what to order
The projection is used to suggest a reorder point and order quantity that account for supplier lead time and safety stock. Buyers review the suggestion before it goes on a purchase order.
A separate forecast for each SKU at each location.
The same SKU can sell at different rates in different locations, and a single company-wide figure hides that. Klovio builds a separate projection for each SKU at each site, so each location's suggested order reflects its own demand.
- Separate trend and seasonality per SKU, per location
- A confidence range to help you size safety stock
- Slow-moving items use a model designed for intermittent demand
- New SKUs use similar items as a reference until they build their own history
- Forecast accuracy is backtested weekly against actual sales
Model a promotion or price change before you order.
Promotions, price changes, new locations and longer supplier lead times all change how much you need to order, and their effect is hard to estimate by hand.
Klovio lets you apply a scenario to the baseline forecast and see how the suggested order quantity changes. The baseline and the scenario are shown side by side, so you can compare them before committing to a purchase.
- Model promos, price changes and new locations
- Compare scenario and baseline order quantities
- Change lead time or safety stock and see the suggested quantity update
Features used alongside demand forecasting.
See how forecasting would work for your catalog.
Book a 30-minute walkthrough of projections, confidence ranges and suggested orders, with time to discuss your sales history and lead times.