Nosh Launches New AI-Powered Analytics to All Its App Users
Francesca Mercurio — September 28, 2021 — Eco
References: designboom
Nosh, a food waste management app, is launching new features to help businesses and individuals manage their food waste. The app was founded by Somdip Dey, a University of Essex Ph.D. student who developed Nosh Technologies after realizing just how much food goes to waste. The app currently helps users manage their food consumption by logging grocery purchases and reminding users of expiration dates.
The company has recently incorporated AI into its business model, which will help produce weekly analytics of each user's consumption and waste habits, thus aiding them in reducing their waste and saving money on food. Users will also be able to log what is in their fridge and pantry, which will help them make meals out of the ingredients they have.
The company also plans to roll out a new feature where restaurants can sell their excess food waste, and Nosh will donate three percent of the profits to local charities.
Image Credit: Nosh, designboom, designboom
The company has recently incorporated AI into its business model, which will help produce weekly analytics of each user's consumption and waste habits, thus aiding them in reducing their waste and saving money on food. Users will also be able to log what is in their fridge and pantry, which will help them make meals out of the ingredients they have.
The company also plans to roll out a new feature where restaurants can sell their excess food waste, and Nosh will donate three percent of the profits to local charities.
Image Credit: Nosh, designboom, designboom
Trend Themes
1. Food Waste Reduction - Nosh's AI-powered analytics can be applied to other waste management problems as well, creating an opportunity for disruptive innovation in waste reduction.
2. Personalized Food Suggestions - Nosh's AI algorithm can be used to create personalized meal suggestions for users based on the ingredients they have, creating an opportunity for disruptive innovation in the meal planning industry.
3. AI-powered Analytics - Nosh's use of AI shows the potential for disruptive innovation in analytics-driven industries such as marketing and finance.
Industry Implications
1. Food Waste Management - Nosh's AI-powered analytics can be applied to other waste management problems as well, creating an opportunity for disruptive innovation in waste reduction.
2. Restaurant Industry - Nosh's new feature that allows restaurants to sell their excess food waste creates an opportunity for disruptive innovation in the food industry's supply chain.
3. Meal Planning and Delivery - Nosh's personalized food suggestions based on the ingredients users have creates an opportunity for disruptive innovation in the meal planning and delivery industry.
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