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Food recce

Discover and match food you like, connect with people you love.

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Food recce

  1. 1. LLP x Team FoodRecce SMU April – June 2020
  2. 2. TEAM MEMBERS Principal Investigator Team Member Team Member Mentor
  3. 3. INITIAL PROBLEM STATEMENT DIFFICULTY IN PLANNING GROUP MEETINGS KNOWING EVERYONE’S FOOD PREFERENCES FIND A COMMON PLACE THAT EVERYONE LIKES
  4. 4. FoodRecce Personalized Group Food Recommendations VERSION 1
  5. 5. 28 INTERVIEWS 176 USERS
  6. 6. WHAT HAVE WE FOUND OUT? Foodies prioritises for food quality Non Foodies – Discounts Meetup Planners – Pain for finding of food choices Ideation = Pain, Convergence = Not a pain Many found the existing decision process to be okay
  7. 7. FoodRecce Personalized Group Based Ordering and Food Recommendations VERSION 2
  8. 8. NEW PROBLEM STATEMENT DIFFICULTY IN DISCOVERY OF HAWKER STALLS AND LOCAL INDEPENDENT RESTAURANTS HIGH DELIVERY COSTS SUPPORTING THE LOCAL HAWKER COMMUNITY
  9. 9. WHAT HAVE WE THEN FOUND OUT AGAIN? Saturated Market Logistics Cost Logistics Cost is about S$10. Platforms making a loss https://e27.co/understanding-the-economics-of-food-delivery- platforms-20200424/
  10. 10. FoodRecce DISCOVER AND MATCH FOOD YOU LIKE connect with people you love VERSION 3
  11. 11. EVEN NEWER! PROBLEM STATEMENT FUN AND FUSS-FREE MANNER OF INPUTING PREFERENCES CONNECTING SIMILAR PEOPLE WITH SIMILAR PREFERENCES FIND GREAT FOOD RECOMMENDATIONS
  12. 12. FOODRECCE’S LLP JOURNEY PERSONALISED GROUPED RECOMMENDATIONS PERSONALISED GROUPED ORDERING/DELIVERY APP PERSONALISED FOOD SOCIAL APPLICATION 1 2 NOW
  13. 13. TECHNOLOGY > 10000 RESTAURANTS WHAT TO RECOMMEND?
  14. 14. Personalised Recommendations Social Connections COMPETITOR ANALYSIS
  15. 15. DEMO FoodRecce https://www.foodrecce.com/
  16. 16. PLANNED EVENTS Lean Launchpad Demo Public Landing Page + Demo Testing of ”swiping” user interface
  17. 17. LANDING PAGE METRICS Description Value Sessions (Visits) 213 Users (Unique Visitors) 176 Page Views 462 Pages/Session 2.17 Avg Session Duration 2:10 Bounce Rate 57.28%
  18. 18. WEB APP DEMO 77% 23% Given the current recommendation process, will FoodRecce help you in exploring food choices? Yes No 0 2 3 5 3 0 1 2 3 4 5 6 1 2 3 4 5 Please rate the usefulness of the Swiping user interface as a means of discovering food establishments.
  19. 19. General Feedback “It’s fun!” Resemblance to Tinder was good Tinder for Food! “Have not tried it” option for bookmarking Some images are not relevant to food Love it and Hate it is too extreme Social feature to know what others think about a particular restaurant too
  20. 20. LETS BE SOCIAL Tinder for Food!
  21. 21. PROPOSED FINAL PRODUCT Mobile App + Web (Lite) solution Social Features Exploring food and connecting people with preferences AI-Enabled Recommendation Engine Early Adopters: Foodies
  22. 22. BUSINESS MODEL ADS + AFFILIATES DATA LICENSING
  23. 23. WHAT’S NEXT? - NEW FEATURES Food Journal Connect people with similar preferences Merchant Targeted Advertisements Understand Yourself Restaurant Reviews Friends Feed/Likes Restaurant Bookmarks Restaurant Deals! Hawker Onboarding
  24. 24. REFLECTION TIME! Let’s Give it a try. Really? Do people actually want this? Wow~ People seem to be interested in this OKAY LET’S DO THIS! 🔥🔥🔥
  25. 25. THANK YOU Simon for your greatest assistance and enthusiasm! 😁😁
  26. 26. FoodRecce https://bit.ly/foodreccedemo
  27. 27. TRENDS Ad Spending
  28. 28. TRENDS Average Ad Spending per user (USD)
  29. 29. TRENDS Ad Spending per Industry
  30. 30. Number of Users Usage per day (mins) Number of impressions per usage 10,000 20 5 PROJECTED REVENUE Total Impressions Total Clickthroughs Total Cost for Clickthroughs 1 day 50,000 2,500 $ 750 30 days 1,500,000 75,000 $ 22,500 365 days 18,250,000 912,500 $ 273,750 Cost per clickthrough $0.30 Clickthrough rate 5%

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