AI workflow study / Interactive study
Catalogue Review.
A catalogue review workflow that turns inconsistent product information into clear, reviewable suggestions.
A workflow, with intention
Better product data. One considered change at a time.
Understand the input. Make a useful proposal. Give the reviewer the final decision.
The context
A focused task. A useful next step.
Small inconsistencies become expensive in a large catalogue. Different category names, missing compatibility information and unclear product fields make products harder to find and compare. This interactive study explores how an assistant could identify those issues while leaving the final decision with the person who knows the business.
Workflow design & interactive prototype
Built as an interactive workflow prototype. The demonstration uses predefined sample responses and does not connect to an AI model or a live business system.
See the system
think in steps.
Choose a workflow, inspect the sample input and review the proposed output. You make the final call.
Find inconsistencies in a small sample product catalogue.
Product: Wireless headphones · Category: Audio · Compatibility: missing · Related products use the Headphones category.
- 01Inspect sample product fields
- 02Compare naming and categories
- 03Prepare suggested corrections
Your review workspace.
Run the example to reveal the proposed changes.
This browser simulation demonstrates the workflow and interface. Its sample responses are predefined; it does not call an AI model, access a store or publish changes.
Inside the work
Designed around the decision.
- 01
A sample catalogue task with an explicit sequence: inspect, compare and propose.
- 02
Suggested category and compatibility changes presented separately from the original information.
- 03
A human approval state that makes the difference between a suggestion and an accepted change visible.
- 04
A resettable browser simulation with sample data, clear status feedback and no connected store.
Tools & technologies