Establish a scientific shopping decision-making process:
- Closet Inventory: Filter 'not worn in the last 3 months' items in the app before shopping and analyze reasons for inactivity (e.g. lack of matching bottoms)
- Notch Recognition: Use the 'Search - Filter by Color' function to find basic colors (e.g. black pants) that are missing from your closet or colors that are over-concentrated.
- Mock Matching: Photograph shopping mall items to temporarily add to your closet, and use 'virtual try-on' to test 3 or more combinations with existing clothes
- shopping list: Create a 'To-Buy List' in the 'Inspiration Board', marking the types of items to be added and the ideal color palette to avoid impulsive spending.
Users using this method have a 651 TP3T lower shopping regret rate and a 401 TP3T increase in closet utilization.
This answer comes from the articleOutfit Maker Mué: Digital Wardrobe and AI Matching AssistantThe
May not be reproduced without permission:AI productivity tools " Solve the dilemma of buying duplicate or mismatched items when shopping
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