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Ecomma.ai

One operating system for ecommerce work.

Ecomma.ai is the intelligence layer behind Ecomma Operate: creative workflow, commerce data, reporting context, and the handoff layer that can travel with a business after sale.

Visit Ecomma.aiSee what it does
Built inside the firm. Designed for repeatable support before sale and after handoff.
Ecomma.aiCreativeCommerceHandoff
Brand workspaceBrand operating memory

Creative work, product context, reporting signals, and support notes stay tied to the same operating memory.

InputModelReviewDeploy
Commerce context

Catalog, offer, margin notes

Creative memory

Scenes, hooks, reviews

Operating rhythm

Signals, reports, next actions

What it replaces

Built to replace the stack ecommerce teams keep stitching together.

Ads, creative, catalog work, reporting, and handoff notes usually live in separate tools. Ecomma.ai is meant to bring those pieces into one operating system.

Fragmented tools

Ads, retention, creative testing, analytics, and reporting all end up living in separate places. Ecomma.ai is meant to bring the work into one system.

Agency handoffs

Outside teams often optimize one channel without seeing the full business. Ecomma.ai is built around the portfolio view Ecomma already needs inside Operate.

Manual operating work

Product data, creative variants, performance notes, and reporting updates should not depend on copy-paste work every week.

Capabilities

The product surface behind better operating work.

Some pieces are already useful inside Ecomma. Others are being built around the same idea: less manual stitching, more reusable operating memory.

In use

Creative workflow

A more repeatable way to brief, generate, review, and reuse creative assets across brands.

In use

Workspace layer

A cleaner structure for projects, roles, assets, and the operating work tied to a brand.

In use

Video review

Project-level creative review that makes generated scenes and finished assets easier to inspect.

In build

Commerce ingestion

Product and catalog context should move into the AI layer instead of being reconstructed by hand.

In build

Winning-ad adaptation

Use proven creative structure as input, then adapt the concept to the product, offer, and brand constraints.

Roadmap

Agentic optimization

A future loop for hooks, scripts, product data, and performance feedback that keeps improving with the business.

Roadmap

The fuller direction.

The direction is a serious ecommerce product layer: creative generation, prompted editing, commerce ingestion, and a feedback loop tied to performance.

Track

Creative engine

  • UGC generation
  • Scene reuse
  • Prompted variants
Track

Composer

  • Scene transitions
  • Captions
  • Prompt-driven edits
Track

Commerce layer

  • Product ingestion
  • Catalog context
  • Offer memory
Track

Operating loop

  • Reporting signals
  • Script feedback
  • Continuous optimization

How it fits Ecomma

The platform behind Operate.

Ecomma.ai belongs in the model because it helps make operating work more repeatable before sale and easier to continue after handoff.

Inside Operate

Helps the Ecomma team make creative, reporting, and workflow execution easier to repeat across businesses.

After handoff

Can support a new owner with a cleaner operating rhythm instead of asking them to rebuild the stack from scratch.

External businesses

Gives selected ecommerce owners a path into useful operating tools without selling the business.