Small online shops juggle product content, customer messages, returns and stock with very few people. AI can speed up the writing and sorting, but in e-commerce every word is a claim a customer may rely on. Accuracy checks are part of the workflow, not an afterthought.
Product descriptions from facts, not imagination
Build a product fact sheet for each item: materials, dimensions, care, origin, what's in the box, and any certifications you can evidence. Ask the assistant to write only from that sheet, and to list any claim it would like to make that isn't supported.
Check every description against the fact sheet before publishing. Unsupported claims about health benefits, sustainability or 'best quality' create legal and trust risk.
- Fact sheet per product
- Description generated from the sheet only
- Human accuracy check before publishing
Customer messages: grounded, fast replies
Most messages are about delivery status, sizing, returns and changes. Write short policy answers in your own words, then use AI to draft replies that quote those answers. A person sends each reply until you've measured accuracy over a few hundred messages.
Returns and stock
Summarise return reasons monthly; patterns ('runs small', 'colour differs from photo') point to fixes in product pages. For stock, a simple rule-based reminder from your sales export beats a complex forecast you can't explain.
Written and reviewed by The AI Scale Academy team. Guidance is general and educational, not legal, tax or financial advice.