AI workflow study / 인터랙티브 연구
Catalogue Review.
A catalogue review workflow that turns inconsistent product information into clear, reviewable suggestions.
의도가 담긴 워크플로
Better product data. One considered change at a time.
입력을 이해합니다. 유용한 제안을 만듭니다. 최종 결정은 검토자에게 맡깁니다.
배경
집중된 작업.
유용한 다음 단계.
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
인터랙티브 워크플로 프로토타입으로 제작했습니다. 데모는 미리 정의된 샘플 응답을 사용하며 AI 모델이나 실제 비즈니스 시스템에 연결되지 않습니다.
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.
작업 속으로
결정을 중심으로
설계했습니다.
- 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.
도구와 기술