The Cloth Weather App is perfect for those who often forget to check the weather before heading out but never in a million years would overlook categorizing their latest outfit. An update to the popular Cloth App, which is essentially a wardrobe-organizing smartphone tool, the Cloth Weather App now integrates the user's local weather to help suggest climate-appropriate outfits so that they are as prepared as can be when facing the world.
Created in collaboration with wunderground.com, the Cloth Weather App uses real-time weather data to pull pieces that have already been cataloged by the user. Also, when people share their favorite looks, the iPhone app attaches a temperature stamp to the photo for the benefit of their audience.
Climate-Determining Outfit Apps
The Cloth Weather App Now Integrates Local Weather Data
Trend Themes
1. Smartphone Wardrobe-organizing Tools - The integration of local weather data in wardrobe-organizing apps presents an opportunity to create more personalized outfit suggestions based on real-time weather conditions.
2. Real-time Weather Integration - The integration of real-time weather data in fashion apps allows users to receive climate-appropriate outfit suggestions to better prepare for their day.
3. Temperature-stamped Fashion Sharing - Allowing users to attach temperature stamps to their fashion photos creates a new way to share outfit ideas while also providing climate context for the audience.
Industry Implications
1. Fashion Technology - The fashion technology industry could benefit from creating more advanced wardrobe-organizing apps that integrate real-time weather data to deliver personalized outfit suggestions.
2. Weather Services - Weather service providers have an opportunity to collaborate with fashion companies to integrate their data into wardrobe-organizing apps, providing users with real-time weather updates for outfit planning.
3. Social Media and Fashion - Social media platforms focusing on fashion sharing and inspiration could incorporate temperature stamps to provide users with additional context and climate-related insights for outfit photos.