Use your data and powerful industry-specific machine learning (ML) algorithms to get automated business insights in real time to analyze, understand and optimize every aspect of your category management, from assortment planning, inventory management and customer to space/planograms, pricing and promotions.

Combine traditional inputs with causal variables like weather, trends, events, and market data to predict future demand with uncanny accuracy. Extend the analysis to improve your financial planning, as well as the ordering and replenishment process. Use product-attribute based algorithms that can identify and map similarities between products to forecast for new and sparse data products.

Get algorithmically-driven prescriptive insights and recommendations to optimize assortments and channel efforts where it matters the most. Set objectives for optimization and use algorithms to rank and select the SKUs that contribute the most to the objective while delisting the least profitable.

Optimize ordering and replenishment decisions with granular inventory forecasts that are in sync with customer demand. Algorithmically monitor and tune inventory and identify and predict potential stock shortages to prevent lost sales. Gain visibility and a real-time SKU-level view of inventory for every location with Real Time Inventory (RTI)

Localize promotions and discount pricing based on store, region or channel. Use the controls to fine tune by business constraint or objective and optimize for sales ,margins or inventory. Apply rules to simulate, reforecast and compare scenarios to understand the impact on margin and inventory adjust the discount pricing accordingly.