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Increase analytical potential and streamline the customer shopping experience with clean and complete attribution using machine learning-enabled attribute extraction.
Extract attributes from item descriptions.
Evaluate sales performance, customer penetration, and market share across stores, geographies and markets to plan and compete in an evolving landscape of pure play, general merchants, and traditional competitors.
Manage merchandise and sales strategies in a targeted way by effectively identifying and grouping customers (by channel) using multiple methods (category purchase behavior, demographics, etc.) and transaction data.
Gain actionable insight into your shoppers' behavior across channels and maximize the potential of your data through persona-based workflows and dashboards. Affinity analysis identifies similarities, halo, and cannibalization effects, and shows how store clusters perform relative to each other.
Create customer segment-specific decision trees using available transaction level data and understand the incremental value of all items with an unbiased view of manufacturers.
Empower business analysts and data scientists to perform ad hoc analyses and then operationalize the results in a secure workspace using a wide selection of open source tools and languages.