FoodMATCH

Recommending Food through analytics

Kuala Lumpur

17 Views

Technologies Used

Ruby on Rails

Project Team

Devan singam
Entrepreneur Developer
mithirendra
yewhong_ng91
tharanseriously
chiapei13

This team is looking for

Product Manager Investor
REQUEST TO JOIN

About

FoodMATCH creates a customised food menus based on your preferences and history. It also dynamically learns and modify user preferences as the User keeps using the app FoodMATCH allows restaurants to showcase menus differently to each customer, increasing conversion and decision time. Payment would be done with MOL pay when a choice has been made which can be dine in, take away or delivery. When at restaurants, users would be able to scan a QR code that would give them a customised recommended menu based on their preferences. (offline to online) Market Capitalisation for Food Apps is estimated to be $25 billion in 2015. FoodMATCH has been validated through surveys that were conducted among users and restauranteurs. We found an amazing 9/10 of users with a base of 100 that liked the idea of personalize food recommendation based on their personal likings. Restauranteurs responded positively with a 8/10 with a base of 50 restaurant expressing intent to list with us. The Monetization strategy would be to charge a transactional fee. Restauranteurs would also be able to get access to insight through a premium subscription.

Comments

No comments yet