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Home Press Release Accesswire

ReFiBuy Brings Continuously Improving Product Data to Claude Commerce Agent

September 17, 2026
in Accesswire, Artificial Intelligence, Web3
Reading Time: 8 mins read
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I co ti ued expa sio of Age tic Comme ce Optimizatio (ACO) st ategy, b a ds a d etaile s ca ow co ect catalogs e iched by ReFiBuy’s Comme ce I tellige ce E gi e to the Claude Comme ce Age t, d amatically imp ovi g a swe s to shoppe questio s a d i c easi g age t-d ive co ve sio s.

RALEIGH, NC / ACCESS Newswi e / Septembe 17, 2026 / ReFiBuy today a ou ced suppo t fo the Claude Comme ce Age t, b i gi g co ti uous p oduct data optimizatio to shoppi g expe ie ces o b a ds’ a d etaile s’ ow websites a d apps. Built to wo k with the comme ce bluep i t A th opic i t oduced o Septembe 2, the co ectio supplies age ts with e iched p oduct data a d etu s co text f om shoppe co ve satio s to guide fu the catalog imp oveme ts.

A th opic’s Claude fo Comme ce bluep i t gives busi esses a sta ti g poi t fo buildi g shoppi g age ts that help co sume s desc ibe what they eed, compa e p oducts a d build a ca t. As comme ce teams build a d test these expe ie ces ahead of the holidays, they eed p oduct data that gives age ts e ough co text to u de sta d shoppe eeds a d suppo t pu chase decisio s.

Fo mo e tha 20 yea s, b a ds a d etaile s have optimized thei p oduct catalog co te t fo keywo ds. The Age tic Comme ce e a dema ds deepe co text: who a p oduct suits, how it pe fo ms, which occasio s it se ves a d how it compa es with alte atives. Without that co text, a age t ca ove look a suitable p oduct because it lacks the evide ce to co ect it to a shoppe ‘s eeds, putti g the sale at isk. ReFiBuy add esses this th ough five levels of Age tic P oduct E ichme t, buildi g o co e p oduct att ibutes with co ve satio al att ibutes, shoppe co text, ma ket a d buye co text, a d age tic co text.

“ReFiBuy’s bi-di ectio al co ectio to Claude’s Comme ce Age t allows b a ds a d etaile s to leve age thei p oduct catalog a d Comme ce I tellige ce E gi e i vestme t i a ew Age tic Comme ce su face,” said Scot Wi go, CEO a d co-fou de of ReFiBuy. “I o e di ectio , we automatically a d co ti uously publish p oduct catalog optimizatio s f om the me cha t to thei Claude Comme ce Age t. I the othe di ectio , we captu e a o ymized shoppe behavio al co text f om Claude Comme ce Age t a d that becomes a i put i to the closed-loop ei fo ceme t lea i g (RL) p oduct catalog imp oveme t cycle.”

Fo me cha disi g a d catalog teams ma agi g la ge asso tme ts, this c eates a p actical way to p io itize e ichme t based o the questio s shoppe s a e aski g. Teams ca add ess gaps i specificatio s, fit details, use cases a d p oduct Q&As. They eview suggested cha ges befo e app oved updates a e published, maki g each imp oveme t pa t of the catalog available to futu e shoppe s a d age ts.

The a ou ceme t adva ces ReFiBuy’s ACO Eve ywhe e st ategy: helpi g b a ds a d etaile s compete whe eve AI age ts shape buyi g decisio s. It b i gs Age tic Comme ce Optimizatio (ACO) i to the Claude shoppi g expe ie ces they build a d ope ate themselves, co ecti g p oduct discove y with co ti uous catalog imp oveme t. The additio builds o ReFiBuy’s p eviously a ou ced suppo t fo a swe e gi es a d Amazo ‘s Alexa fo Shoppi g (AFS).

ReFiBuy a d Claude Comme ce Age t Demo Site

To illust ate the powe of deep p oduct catalog e ichme t, ReFiBuy c eated a demo site at www. efibuy.ai/cfc.

Built o A th opic’s Claude fo Comme ce demo sto e, the site featu es 500 p oducts ac oss 10 catego ies, with basic att ibutes d aw f om b a d p oduct detail pages. Visito s ca tu ReFiBuy e ichme t o a d off to compa e how the Claude Comme ce Age t a swe s the same shoppe questio s with a d without e iched p oduct data.

Catego ies i clude Beauty & Pe so al Ca e; Clothi g, Shoes & Jewel y; Elect o ics; G oce y; Health & Household; Home & Kitche ; Pet; Spo ts & Outdoo s; Tools & Home Imp oveme t; a d Toys & Games.

The demo is ope to b a ds, etaile s a d othe s who wa t to see the Claude Comme ce Age t i actio a d explo e the ole of p oduct e ichme t i its ecomme datio s. With holiday p epa atio s u de way, b a ds a d etaile s eed to ide tify p oduct data gaps befo e shoppe s e cou te them. Explo e the i te active demo a d co ect with ReFiBuy to build a p oduct catalog eady fo eve y AI selli g su face.

About ReFiBuy

ReFiBuy is the Age tic Comme ce Optimizatio (ACO) platfo m that helps b a ds a d etaile s compete whe eve AI shoppi g age ts shape buyi g decisio s. Its Comme ce I tellige ce E gi e mo ito s how age ts discove a d evaluate p oducts, ide tifies gaps i p oduct data, a d ge e ates a d dist ibutes app oved e ichme ts to imp ove eligibility fo discove y a d ecomme datio . Th ough co ti uous mo ito i g a d optimizatio , ReFiBuy helps comme ce teams adapt thei p oduct catalogs as AI shoppi g evolves. Fou ded by ecomme ce vete a s f om Cha elAdviso , Walma t a d MikMak, ReFiBuy is buildi g the comme ce i tellige ce laye fo the age tic e a. Lea mo e at efibuy.ai.

Media Co tact

B ia Chapma VP, G owthReFiBuy[email p otected]

SOURCE: ReFiBuy

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