What is Boost.space 3?
Boost.space 3 is an enterprise-grade data foundation platform designed to unify and prepare product, customer, order, and campaign data for AI-powered ecommerce operations. It addresses the critical issue that imperfect product catalogs cost retailers and brands up to 23% in lost revenue (McKinsey). The platform enables businesses to deploy up to six specialized AI agents on a single live data foundation, eliminating data silos and ensuring consistency across all channels.
Key features include 2,675 native integrations for seamless connectivity with supplier feeds, retailer portals, and ecommerce platforms. Boost.space 3 automates data cleaning, enrichment, and translation, handling supplier Excels, PDFs, and CSVs without manual effort. It unifies product data with customer profiles, orders, and campaigns, providing a holistic view that powers personalized shopping experiences, dynamic pricing, and AI-driven workflows.
Benefits include fixing broken product data to ensure ChatGPT and other AI tools recommend your products over competitors, real-time price adjustments to stay competitive, and automated attribute and description generation for all SKUs. The platform eliminates the need for teams to manually update product information across multiple retailer portals, reducing repetitive tasks and errors.
Use cases span from improving product discoverability and personalization to enabling AI agents for pricing optimization, inventory management, and customer segmentation. Technical details highlight that Boost.space 3 prepares data first, ensuring AI agents can execute actions with overall context rather than failing due to poor data quality. Trusted by over 15,000 teams across 140 countries, it is built for product-led businesses seeking to maximize revenue and operational efficiency through AI.
Use Cases
Key Features
675 native integrations automated data cleaning data enrichment AI agent deployment product catalog unification real time price adjustments attribute generation translation automation data silo eliminationWho is it for?
ecommerce retailers, brand managers, data engineers, AI operations teams, marketing teams, supply chain managers, product managers
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