Out-of-stock situations cost retailers more than a lost sale. They result in frustrated customers. Meanwhile, excess stock forces retailers to discount prices, thereby reducing profits. The complexity of today’s retail environment makes it increasingly difficult for retailers to efficiently manage pricing and stock across sales channels. The solution? Replace manual processes with data-driven decision-making. Discover how leading European fashion retailers are using our solutions to intelligently manage their pricing and stock. Machine learning algorithms analyze the retailers’ internal data, such as sales and inventory data, combined with external market data to precisely forecast consumer demand. Based on these forecasts, prices and inventories are optimized across all channels and the underlying processes are automated. Thus, our retail clients can guarantee that they always have the right product at the right place at best possible price.