New early entry platform provides manufacturers, retailers, companions, and builders entry to catalog intelligence for AI procuring engines by way of API, MCP, and CLI.
RALEIGH, NC / ACCESS Newswire / March 24, 2026 / ReFiBuy, the Agentic Commerce Optimization platform that turns product catalogs into infrastructure for AI procuring engines, immediately introduced early entry to Construct with ReFiBuy, a developer platform that provides manufacturers, retailers, companions, and builders entry to its Commerce Intelligence Engine.
Out there by means of REST API, MCP server, and CLI, the platform allows groups to guage, enrich, distribute, sync, and monitor product knowledge throughout current PIM, feed, and commerce workflows.
Product Information Is Changing into Commerce Infrastructure
Most product knowledge was constructed for search engines like google and human browsers, not for the AI procuring engines more and more shaping how merchandise are found, in contrast, and bought. When a client asks ChatGPT, Perplexity, or Google Gemini what to purchase, these techniques depend on structured product knowledge to find out which merchandise qualify and which of them floor.
For a lot of commerce groups, bettering product knowledge remains to be a guide, multi-tool course of. A merchandiser strikes between a PIM, a spreadsheet, and a content material instrument, then hopes the result’s ok. At scale, that breaks down. Listings go reside with lacking attributes, inconsistent descriptions, and little optimization for a way AI procuring engines really consider merchandise.
More and more, it isn’t simply shoppers asking the questions. Autonomous procuring brokers, commerce copilots, and AI procurement instruments are additionally making choices programmatically, elevating the usual for machine-readable catalog intelligence.
A Developer Platform for Catalog Intelligence
Construct with ReFiBuy provides builders entry to the identical Commerce Intelligence Engine utilized by main manufacturers throughout magnificence, style, and retail, organized into three core product areas:
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Enrichment (Ingest + Enrich): Pull catalog knowledge from any supply, shut attribute gaps, and generate LLM-optimized titles, descriptions, and Q&A pairs – all aligned to your model voice, with human-in-the-loop overview or full automation.
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Distribution (Distribute + Sync): Ship agentic-ready product knowledge to procuring surfaces together with OpenAI’s Agentic Commerce Protocol and Google’s UCP, then sync enriched attributes again to techniques like PIMs and ERPs.
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Monitoring (Consider + Monitor): Rating SKU eligibility throughout AI procuring engines, monitor visibility and aggressive place, and floor actionable fixes when merchandise fall quick.
Moderately than changing the prevailing commerce stack, ReFiBuy is designed to make it smarter. The objective will not be one other system of file. It’s catalog intelligence that operates contained in the techniques commerce groups already use.
“ReFiBuy has at all times been about making AI-ready product intelligence accessible,” mentioned Scot Wingo, CEO of ReFiBuy. “Construct with ReFiBuy is the following step. It provides groups API entry to the intelligence they should enhance product knowledge contained in the techniques they already use.”
Constructed for Commerce Groups, Companions, and Agent Builders
Construct with ReFiBuy is designed for 3 core teams throughout the agentic commerce ecosystem:
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Manufacturers and retailers that need to enhance how their catalogs carry out throughout AI procuring engines with out rebuilding their commerce stack.
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Integration and PIM companions that need to embed ReFiBuy capabilities into implementations and ship agentic-ready catalog workflows throughout a number of purchasers.
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Agent builders creating AI-native procuring experiences that want product intelligence as a callable instrument inside procuring brokers, commerce copilots, and procurement workflows.
Construct with ReFiBuy is on the market in early entry beginning Q3 2026, with a design associate program now open for groups working with Akeneo, Salsify, Shopify, Salesforce Commerce Cloud, and AI agent frameworks.
To use, go to refibuy.ai/developers.
About ReFiBuy
ReFiBuy is the Agentic Commerce Optimization (ACO) platform that turns product catalogs into infrastructure for AI procuring engines. Its Commerce Intelligence Engine provides manufacturers and retailers a closed-loop system for agentic commerce: figuring out gaps, enriching and structuring product knowledge, distributing updates, and monitoring how merchandise carry out throughout AI procuring environments. ReFiBuy is trusted by main manufacturers and retailers throughout magnificence, style, attire, and electronics. Extra info is on the market at refibuy.ai.
Media Contact
Brian Chapman
VP, Development
ReFiBuy, Inc.
[email protected]
SOURCE: ReFiBuy
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