DaVinci Commerce (Jivox)

Category: AI Image/Design

Getting your product catalogue recommended by shopping agents.

DaVinci Commerce is the Jivox business, long established in dynamic creative optimisation, repositioned around agentic commerce. The idea is that AI shopping agents can only recommend what they can understand, so it enriches your product catalogue into a per-SKU knowledge graph built from reviews, social content and the open web, then exposes that to AI agents through the emerging agentic commerce and universal commerce protocols as well as structured data. A product discovery layer measures SKU-level visibility across ChatGPT, Gemini and Claude, and will A/B test a raw catalogue against an enriched one so you can see what the enrichment is worth. There is also a branded concierge experience inside LLMs, and a separate commerce marketing product handling SKU-level retailer-compliant creative and versioning. It sits on top of your existing product information management rather than replacing it. Accenture has invested in the company.

Our verdict

A serious enterprise product rather than the small tool this listing previously implied, and the A/B testing of raw against enriched catalogue is the detail that marks it out: it is the only tool here that will show you what the work was actually worth rather than asking you to take it on faith. Working at SKU level is the right granularity, and building on Jivox's long history in dynamic creative means the creative versioning side is mature rather than new. Accenture investing is a meaningful signal. Two things to be straight about. The customer logo wall mixes genuinely current relationships with legacy clients of the older advertising business, some dating back years, so do not read all of them as evidence for the agentic commerce product. And the performance statistics quoted carry no methodology. There is no published pricing, no trial and no self-serve route, so this is a procurement exercise. For a brand without a large catalogue it is the wrong tool entirely.

Best for: Large consumer brands and retailers with substantial catalogues who need their individual products found and recommended by AI shopping agents.

Pros

  • A/B tests raw against enriched catalogue, so you can measure what enrichment is worth
  • Works at SKU level, the right granularity for a real catalogue
  • Supports the emerging agentic commerce and universal commerce protocols
  • Sits on top of existing product information management rather than replacing it
  • Accenture has invested, and the underlying Jivox business has traded since 2008
  • Mature creative versioning from the dynamic creative optimisation heritage

Cons

  • The customer logo wall mixes current clients with legacy advertising-business ones
  • Performance statistics are quoted without any methodology
  • No published pricing, trial or self-serve route
  • Wrong tool entirely for a brand without a large product catalogue
  • MCP is referenced as an output format but no public endpoint or docs exist

Pricing: Pricing on application, demo only (Enterprise)

Rating: 4/5