Set Minimum Stock Level Quantities and easily see, which variants have stock quantities which will likely drop below a threshold soon.
Analyze expected stock level in future time window for variants and products and quickly identify over-stocked items. Launch promotions to get rid of unneeded stock.
Sort variants and products by forecast sales, by expected stock levels in future time periods, by final replenishment tip or by any quantity to easily identify items, which need top attention.
Demand forecasts on the variant level are computed automatically daily or on demand, when your latest store data is synchronised.
Multiple future time windows are computed and you can select appropriate time interval forecast based on your selected brand, collection or product.
Minimum/maximum coverage mode guarantees minimal required stock availability and also minimizes number of necessary repeated purchase orders.
Seasonality is automatically estimated from historical data and product variant hierarchies using unsupervised machine learning.
Previous short-term sale spikes due to pricing discounts are automatically handled. This feature requires synchronising daily channel specific variant pricing information.
FutureMargin supports integrating data from multiple channels (countries or platforms) for a precise channel specific price discount handling.
Historical data are automatically preprocessed and cleaned by removing outliers.
Seasonality for new products is estimated statistically using available product history and learned seasonality patterns among other products.
Actionable replenishment tip is always available for each variant. Replenishment recommendation combines current stock, forecast, unfulfilled quantity, open purchase orders and minimum stock quantities.
Our system uses unsupervised learning to continuously learn patterns in your data, detects seasonality trends and provides you daily forecasts to shorten time required for manual computations. Automatic forecasts help you see which products need attention to avoid stock-outs and to reduce unneeded inventory.
Our team combines extensive experience in high performance and cloud computing. FutureMargin can handle hundreds of thousands of SKUs and automatically provides up-to-date forecasts for all of your products. Our hardware infrastructure handles all extensive automatic modeling and forecasting.
Built for retailers with large number of SKUs, we provide an easy to use JSON API which you can quickly integrate to automatically perform data exchange and to download predictions for your inventory management software. FutureMargin also provides alternative CSV, FTP or custom integration options for any scenario.
Please get in touch to get a free demo.