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Digital merchandising

Visual discovery

Tessaire gives merchandising teams focused visual and similar-product workspaces for human review.

Audience
Ecommerce discovery and merchandising teams
Problem
Visual similarity becomes an opaque promise unless results stay inside each workspace, explain their basis, and remain separate from storefront delivery.

Workflow

How Tessaire addresses the work.

01

Choose a query or seed product

Workspace users start with text, an existing asset, or a selected product.

02

Retrieve within tenant boundaries

Visual ranking stays inside the workspace and brand, with its query evidence recorded.

03

Apply merchandising filters

Shop Similar can apply readiness, category, source-availability, and fallback rules.

Outputs

What the workflow prepares.

Ranked product summaries

Results use client-safe product data with score and stale or missing embedding state.

Merchandising configuration

Teams can inspect similar-product settings, filters, and evidence before approving a decision.

Review and control

What keeps the outcome honest.

Isolation before ranking

Workspace access, module access, user permissions, and rate limits guard every search.

Workspace access stays controlled

Module access, user permissions, and workspace boundaries protect every search and result set.

Built-in assurance

The workflow keeps accountability visible.

01

Evidence stays visible

Results expose their query context and stale or missing index state instead of presenting empty certainty.

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