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Zakeke AI Visual Commerce Agents

Merchants launch customizable products by describing them, and shoppers design a product without learning a tool.

Agents inside the Zakeke platform that configure personalized products from a description, onboard catalogs in bulk, and turn shopper ideas into designs.

What the agents do

Turns a merchant's plain-language request into platform configuration: products, variants, print areas, and pricing rules, then applies it once approved.

Contributed by
Zakeke (Agentic visual commerce platform)
Industry
Retail, Manufacturing & Industrial
Audience
B2B, B2C
01
The problem

Why this exists

Launching a customizable product means more than uploading images. Someone has to configure the variants, the customization sides, the print areas, the printing methods, and the pricing rules, then keep all of it consistent across a large catalog. The work is slow, technically demanding, and easy to get wrong, and bulk onboarding makes it worse: product data arrives in different shapes, images have to be matched to the right variants, and everything has to be checked before it is imported.

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On the other side of the same journey, a shopper who wants a personalized product has to learn a set of editing tools first. Turning an idea into a finished design takes many manual steps: adding text and images, editing visual elements, and positioning them on the product. The people with a clear idea but no patience for a design interface never get there.

02
Outcomes

What changes when this is in place

  • Merchants configure personalization by describing it, then review a live preview before any change is applied.
  • Catalogs, spreadsheets, images, and documents are extracted, normalized, and matched to variants before import.
  • A proprietary model proposes print areas and measurements from product images for merchants to review and refine.
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  • Shoppers describe a design in plain language and use the generated result inside the product customizer.
  • Image, video, and 3D generation widen the creative workflows available without leaving the platform.
03
How it works

Architecture

Zakeke separates reasoning from generation. Conversational reasoning and structured tool calling run on OpenAI GPT and Anthropic Claude. Generative media runs through fal.ai and a direct Tencent integration: GPT Image for image generation and editing, Topaz for upscaling, WAN, Kling, Seedance, Veo, and LTX for video, and Meshy, Rodin, and Hunyuan3D for 3D assets. A provider abstraction sits over all of them, so model selection can change without the commerce workflows around it being redesigned.

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The agent interprets a merchant's request, maintains conversational context and versioned drafts, and invokes commerce capabilities through authenticated APIs. Business rules and permissions stay enforced by the underlying platform rather than by the agent, and validation, preview, and approval steps run before any change is applied. An internal retrieval-augmented generation platform, synchronized with Zakeke's knowledge base, supplies the documentation that grounds its answers and guidance.

Print-area detection runs on a model Zakeke trained itself, whose predictions are combined with estimates of how image dimensions map to physical scale. Bulk onboarding combines the same language and vision capabilities with executable processing tools, and hands a merchant-confirmed revision to a validated asynchronous import pipeline that tracks progress and blocks duplicate submissions. Everything connects through APIs and asynchronous workflows, so conversational assistance, prediction, media generation, and catalog processing operate inside one composable commerce architecture.

A merchant makes a request to the agent, which keeps conversational context and versioned drafts. Reasoning and tool calling run on OpenAI GPT and Anthropic Claude. Generative media for images, upscaling, video, and 3D runs through fal.ai and a Tencent integration behind a provider abstraction. An internal retrieval platform synced with Zakeke's knowledge base grounds answers. Validation, preview, and approval run before the agent invokes commerce capabilities over authenticated APIs, where the platform enforces rules and permissions. Print-area detection uses a model Zakeke trained itself, and bulk onboarding hands merchant-confirmed revisions to a validated asynchronous import pipeline that tracks progress and blocks duplicates.

A merchant makes a request to the agent, which keeps conversational context and versioned drafts. Reasoning and tool calling run on OpenAI GPT and Anthropic Claude. Generative media for images, upscaling, video, and 3D runs through fal.ai and a Tencent integration behind a provider abstraction. An internal retrieval platform synced with Zakeke's knowledge base grounds answers. Validation, preview, and approval run before the agent invokes commerce capabilities over authenticated APIs, where the platform enforces rules and permissions. Print-area detection uses a model Zakeke trained itself, and bulk onboarding hands merchant-confirmed revisions to a validated asynchronous import pipeline that tracks progress and blocks duplicates.
Open standards used
REST APIs
Tech stack
Zakeke visual commerce platformOpenAI GPT and Anthropic Claudefal.ai and Tencent for generative mediaGPT Image, Topaz, WAN, Kling, Seedance, Veo, LTX, Meshy, Rodin, and Hunyuan3DZakeke proprietary print-area vision modelInternal retrieval-augmented generation over the Zakeke knowledge base
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Everyone credited on this solution

  • ZakekeAgentic visual commerce platform

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Verification

Contributor submission

The detail on this page comes from the contributor's own account of their own work. The MACH Alliance reviews a submission before publishing it and does not independently verify the figures in it.

What this page does not establish

  • Zakeke published no adoption, revenue or time-saved figure for any capability described here.

Where this came from

Solution detail is drawn from Zakeke's submission to the hub, which states no measured outcome.

Status: Live in productionAdded Oct 28, 2026A listing is an editorial decision, not a MACH Alliance certification.

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