COMMERCE INTELLIGENCE ENGINE

The Operating System for Agentic Commerce Optimization

Evaluates catalogs, flags eligibility gaps, and continuously improves product data so every SKU stays competitive on the AI digital shelf.

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Why this platform exists

Commerce systems were built for people browsing pages. AI agents evaluate product data directly to decide what qualifies to appear.

Most commerce stacks were not designed for this shift. Product data is fragmented across systems and rarely revisited once it breaks. Failures surface downstream, long after the cause.

The result is silent failure. Products stop appearing with little visibility into why.

Closed-loop execution is required to continuously surface issues, apply fixes, and keep products eligible as agentic shopping evolves.

INSIDE THE COMMERCE INTELLIGENCE ENGINE

ReFiBuy operates as a system-level optimization layer across your commerce stack

At the core of the platform is the Commerce Intelligence Engine, which continuously evaluates how agents interpret individual SKUs, identifies where eligibility breaks down, and improves product data at the source as agent requirements evolve.

This operates as a closed-loop system, not a one-time audit or enrichment pass. ReFiBuy’s agents do the work, with human-in-the-loop oversight where accuracy, control, and brand consistency matter.

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Ingest

Connect every product data source. Ingest product data from PIMs, ERPs, feeds, APIs, and other systems. Normalize fields, group variants, and create a clean, queryable SKU foundation ready for evaluation and execution.

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Evaluate

See what AI agents see. Evaluate how AI shopping agents interpret individual SKUs. Identify eligibility blockers, inconsistencies, and missing context that prevent products from qualifying or being compared.

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Enrich

Fix what’s broken, with control. Enrich product data by filling missing attributes and upgrading titles, descriptions, and key features. Improvements are applied with human-in-the-loop approval and brand-level guardrails.

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Distribute

Publish engine-ready product data. Distribute product data to agentic shopping engines in the formats they require, with delivery status and error handling built in.

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Sync

Apply improvements where work already happens. Sync optimized product data back into the systems your teams already use, including ecommerce platforms and PIMs.

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Monitor

Own performance on the AI digital shelf. Monitor how products appear across agentic shopping engines by capturing real outputs, scoring visibility and data quality, and linking every issue directly to an actionable fix.

Designed for what's next

Agentic commerce will continue to evolve.

ReFiBuy is designed to operate in that uncertainty by treating optimization as an ongoing system rather than a static checklist.

With ReFiBuy in place:

  • Fewer silent failures in AI-driven discovery

  • Clear visibility into why products do not qualify

  • Continuous optimization without manual overload

  • SKU-level accountability as agents evolve

This is infrastructure doing its job.

The fastest way to understand ReFiBuy is to see it work on real product data.

SEE THE PLATFORM IN ACTION
FAQ

Frequently asked questions

What is Agentic Commerce Optimization (ACO)?

Agentic Commerce Optimization (ACO) is the process of preparing your product catalog for AI-powered shopping experiences. As Agentic Shopping Engines like ChatGPT, Perplexity, Gemini, and others surface products directly to consumers, they rely on structured, rich, and complete product data, not traditional PDPs or marketing pages.

ACO ensures your product information is complete, consistent, enriched, and machine-understandable so AI agents can accurately evaluate, compare, and recommend your products. It’s the foundation for winning visibility and conversion in AI-driven shopping.

How does ReFiBuy integrate into our existing workflow or PIM?

ReFiBuy’s platform is built to be flexible and can integrate either pre-PIM or post-PIM, depending on where enrichment creates the most leverage in your workflow. We connect directly to systems like Salsify and Syndigo via API or data feeds, enriching product data without disrupting your existing stack.

How is ReFiBuy different from traditional SEO or feed tools?

SEO and feed-management tools optimize for traditional search and ad channels. ReFiBuy optimizes for AI shopping engines. These are platforms like ChatGPT, Gemini, or Claude that interpret and recommend products through conversation. We focus on semantic understanding, data structure, and contextual quality, so your products are accurately represented in the agentic commerce ecosystem.

How does your human-in-loop process work?

ReFiBuy combines AI automation with human oversight. Our “human-in-the-loop” workflow ensures every recommendation is reviewed by your team or agency before it goes live, keeping content accurate, on-brand, and contextually correct while still benefiting from AI speed and scale.

What is ReFiBuy’s pricing model?

ReFiBuy operates on an annual subscription priced by catalog size and monitored SKUs. Contact us for more pricing information.