Assortment Management Features and Capabilities
Leverage multiple data analytics and insights to guild and build a solid assortment plan. Use data science to predict rate of sale for new items by leveraging product attributes such as history and seasonality.
Align with customer preferences and receive recommendations on store groups for better localization. Build a localized assortment with guidance based on customer affinity for products.
Assumption Based Planning
Be proactive using placeholders during early stages of development cycles for easy realization with real items when available to create a better shopping experience for your customers.
Visualize a complete season with a holistic view that considers qualitative and quantitative strategies by incorporating insights and historical data.
Align financial plans, assortment plans and customer preference to ensure execution closely aligns with strategy.