FutureMargin uses your store's historical data, machine learning and statistics to provide automatic predictions for optimizing inventory planning process and recommendations for optimal variant product pricing.
We offer API access which is used to sync store statistics, which can be used with any e-commerce or retail store. You upload your sale and optionally pricing data and fetch daily demand forecasts or price recommendations. Please contact us to obtain the REST API specs and to setup an account.
Your store should have at least a hundred of active SKU's in an average four-week period. Once you achieve this store velocity, you can typically start saving time required for stock replenishment by using a FutureMargin software for automatic stock replenishment recommendations.
With enterprise plan, we can support computational requirements required for large number of SKU's. For pricing optimization, we can setup custom pricing optimization scenarios and price-split tests. You also receive dedicated integration support.
FutureMargin computes conversions for your products for different price points. Optimal prices maximizing profit or revenue are computed daily and you can integrate the price updates automatically using the API. At the end of the price-split test period, you receive analytics report comparing benefits of a chosen pricing strategy.
Demand forecasting on the variant level can be used to optimize your inventory. You can quickly find out overstocked items and see which items you should replenish quickly to avoid stock-outs. Finally, you save time required for manual purchase order computation and generation.
Please get in touch to get a free demo.