A product-content review you can check.
A useful workflow keeps the source facts, suggested changes, and outstanding questions together. Here is what that can look like for three products.
Worked example
Fictional products · prepared examples
This is an interactive illustration using prepared sample outputs. It does not call an AI model or connect to a store. No client results or time savings are claimed.
1. The source record
Stoneware mug. Blue. 300 ml. Dishwasher safe.
2. The existing description
The perfect mug for every adventure. Keeps your drinks hot for hours.
3. The review finding
The source supports material, colour, capacity, and care. It does not support a heat-retention claim.
4. Suggested copy
A blue stoneware mug with a 300 ml capacity. Dishwasher safe.
5. Human approval
Confirm the capacity and care instructions against the supplier record. Remove the unsupported heat-retention claim unless evidence is provided.
For a real store
A production version needs an approved data source, review criteria, and a way to record decisions. We would start with a small export, compare the output against a human review, and keep publication as a separate approval step.
Useful measures include review time per product, unsupported claims missed, and the share of suggestions the team accepts. Measure these on your own catalogue before projecting a saving.
Work with me
Review how your team handles product content.
Bring a description of the task and the tools involved. On a free fit call, we can decide whether a workflow audit would help.