We build the layer between your store and the agents buying from it.
Reknew Commerce is the agentic commerce practice of ReKnew. We check how AI assistants find, describe and buy from a store, then build the catalog, checkout and protocol connections that close the gaps, on the platform the merchant already runs.
ReKnew is an enterprise data and AI transformation company. Reknew Commerce is the same team applied to catalogs, checkouts and protocol connectors, and the research behind it started before we offered a service.
- Founded by
- Senior executives from the data, AI and operations functions of some of the world's largest financial institutions.
- Leadership
- 15 to 25 or more years each in enterprise technology, data and analytics.
- Programs
- Modern data management, AI and agentic transformation, business AI transformation.
- Delivered in
- Some of the most complex regulated environments in financial services.
How we work
Four disciplines, one loop.
Everything starts with a check and ends with a check. The build in between is scoped by what the check actually found.
Research
We check how each major assistant finds, describes and buys from a store, and read what comes back. That is why our recommendations are specific instead of directional.
- Assistant-by-assistant visibility checks
- Claim accuracy against your own catalog
- Checkout completion per surface
- A gap roadmap ordered by what blocks a sale
Data modelling
The gap between what your catalog says and what an agent needs to verify is almost always ordinary attributes trapped in prose, images and PDFs. We model the schema, map it to what ACP and UCP require, and build the pipelines that keep it true.
- Category attribute schemas
- Source mapping across PIM, ERP and supplier data
- Claim substantiation and policy structuring
- Feed generation and validation
Implementation
Platform-native where possible, custom where necessary. Nothing should depend on a person remembering to update a spreadsheet, because that always decays within a quarter.
- Shopify, BigCommerce, WooCommerce, Salesforce, Adobe Commerce, Commercetools
- ACP feed and UCP capability enablement
- Checkout handoff that lands on the right variant
- Payment tokens, consent and attribution capture
Monitoring
Agent surfaces change under you. Models update, feeds break, specs version. Scheduled re-checks against your baseline turn those from quarterly surprises into alerts.
- Re-checks on a schedule
- Claim-drift and availability alerting
- Protocol update application
- Agent-attributed revenue reporting
What you get
Found, trusted, bought, and kept.
01
Your products enter the shortlist
Structured, retrievable records mean an assistant can verify you satisfy the constraint in the question, instead of quietly skipping you because it can't tell.
02
Your claims survive scrutiny
Substantiated specs, consistent policies and attributable reviews give the assistant something it can repeat without hedging.
03
The sale actually completes
A buy path built to survive the handoff: in-conversation where the surface supports it, to the right product page at the right price where it doesn't.
04
You keep the relationship
Identity and consent captured at order time, attribution back to the assistant that produced the sale. You remain merchant of record.
What we believe
The principles behind every recommendation.
Measurement before opinion
Nearly everything written about agentic commerce is directional. We would rather test a store against the assistants and read what comes back than publish another adjective about the future of retail.
The catalog is the product
Brand, design and copy still matter to humans. To an agent, you are your structured data. Most of the value we create is unglamorous work on fields nobody wanted to own. This is ReKnew's founding principle, data first, applied to a product feed.
Merchants should keep the customer
The marketplace era taught merchants what it costs to rent an audience. Agent surfaces have the same shape, and the defaults are still being written. Every protocol we connect keeps you merchant of record.
Say when it isn't worth it
Some categories genuinely should wait. Telling a client that costs us an engagement and buys the only thing that compounds in consulting: being believed next time.
Working with us
Four things you can hold us to.
01
Straight answers, early
You hear what we found as soon as we know it, including when the answer is to wait. No engagement is stretched to fill a budget.
02
Fixed scope, fixed fee
Every tier is priced up front. If the work turns out larger than scoped, that is our estimate to absorb, not your change order.
03
You own the output
Schemas, pipelines, findings, roadmaps. Nothing stops working if you stop paying us, and nothing is locked behind our tooling.
04
Expertise transfers as the work gets done
Runbooks, training and documentation are part of every tier, so your team can run what we build.
Before you ask
The questions we get before every engagement.
If yours isn't here, ask it directly, we answer these on the first call anyway.
Some are, and the rails are live: Google completes purchases inside AI Mode and Gemini through UCP, Perplexity and Copilot check out in-chat, and ChatGPT routes ACP-fed discovery to your site. AI-referred traffic to US retail was up 393% year over year in Q1 2026 and converts better than other channels. Whether your category justifies connecting this quarter or watching another one is exactly what Readiness answers.
Where to start
The assistants already have an answer about you. Find out what it is.
One fixed-fee audit tells you whether agents can find, describe and buy from your store today, and what it would take if they can't. You keep the report either way.