commercetools has launched Intake, an AI-powered, API-first solution designed to automate B2B order intake by converting unstructured buyer requests into structured commerce objects such as carts, quotes, and shopping lists. The tool processes multiple input formats—free text, emails, spreadsheets, and PDF purchase orders—extracting product information, matching SKUs to the catalog, identifying customers, and generating editable drafts for review. A 50-line purchase order that typically requires 30 minutes to several days of manual work can now be processed in seconds.
For commerce practitioners, Intake addresses a critical pain point in B2B operations: the offline-to-order problem. Sales and customer service teams currently spend significant time manually looking up products in ERP systems, cross-checking inventory and pricing, and re-entering data across multiple systems. Intake reduces this repetitive work, allowing representatives to focus on customer relationships and commercial decisions rather than administrative tasks. The solution supports self-serve configuration in the Merchant Center, enabling businesses to define custom instructions and product search attributes tailored to their catalogs and ordering conventions without requiring code changes.
The platform integrates API-first with existing enterprise systems including CRMs, ERPs, CPQ tools, and customer support platforms like Zendesk. commercetools has also released an Intake Skill for AI coding tools such as Claude Code and Cursor to simplify integration development. Real-world adoption includes Mirion Technologies, a B2B manufacturer, which uses Intake to automate parts of its Cart Assist process across multiple business lines. By embedding AI-driven intake directly into commerce operations, organizations can improve speed, reduce order-entry errors, and increase sales team productivity while maintaining governance and operational control.