Product titles and descriptions generated from product data

A working generation workflow with attribute checks. Batch testing and refinement are underway.

Turn product facts into copy people can use.

AI product descriptions

Batch testing and refinement

Facts first

Materials, composition and product type come from product data. The model should write clearly, not guess missing facts from a photo.

The workflow

Start with structured attributes. Generate a title and description, then check the facts, brand voice and SEO requirements.

Find the real problem

Bad source data and bad generation need different fixes. Batch reviews help us tell them apart.

My role

I bring product, e-com and developers together: turning needs into requirements, reviewing the MVP and prioritising improvements.

Turn product facts into copy people can use.

AI product descriptions

Batch testing and refinement

Facts first

Materials, composition and product type come from product data. The model should write clearly, not guess missing facts from a photo.

Turn product facts into copy people can use.

AI product descriptions

Batch testing and refinement

Facts first

Materials, composition and product type come from product data. The model should write clearly, not guess missing facts from a photo.

Batch testing and quality checks are underway. We are refining category, material and SEO logic before scaling.