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WECONNECT
Lapras4
Cathy Manami Moe Yota
1
Target Users
• University students / Young
2
What is 合コン(gōkon)?
• 合コン is the singles party
• Many of people go there just for fun (They
already have girlfriend)
3
Problem
• Those who need 合コン don’t have
opportunity to attend parties
• Few chances to meet with girls/boys
(especially for people in the engineering field)
Declining Birthrate
4
Our Solution
• Fast matching platform for 合コン
– Organizer is not needed!
– You can go to 合コン anytime you want!
– Best matching system to find the right person
5
6
Tinder
In this part you should
describe your business to
the investor. You have to
make sure he can make it
clear
Meetup
TOO
SLOW
Facebook
TOO
FAR
Unique Points
• Matching System creates party automatically
+ based on similarity (e.g. hobby, preference)
• GPS-based system
• Rating System
+ make users reliability
+ improve matching algorithms
7
Cost
• Initial Cost
• Human: 1 million × 2 month × (1Manager
+2Engineer+1Tester+1Designer+3Sales+1Machine Learning Specialist)
• Commercial: 25,000,000 yen
• 10 million × (2ITSupport+2Sales+3Operator)
8
Initial Cost
Running Cost (yearly)
43,000,000 yen
70,000,000 yen
Number of Potential user
9
Japan populations:
120 millions
Age in 20~40:
36 millions
Singles who want a lover:
15 millions
Has no rejection on 合コン:
3 millions
* Reference: 少子化対策白書--Japanese government
Revenue
10
• User: 3,000,000 * 20% = 600,000
• Average frequency is 3 times in a year
• Profit: 3000 * 5% = 150yen for 1 time
• Revenue in a year:
600,000 * 3 * 150 =270,000,000yen
Montly Profit(1st year) 13 million yen
Montly Profit(2nd year) 16 million yen

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presen-template _cathy

  • 2. Target Users • University students / Young 2
  • 3. What is 合コン(gōkon)? • 合コン is the singles party • Many of people go there just for fun (They already have girlfriend) 3
  • 4. Problem • Those who need 合コン don’t have opportunity to attend parties • Few chances to meet with girls/boys (especially for people in the engineering field) Declining Birthrate 4
  • 5. Our Solution • Fast matching platform for 合コン – Organizer is not needed! – You can go to 合コン anytime you want! – Best matching system to find the right person 5
  • 6. 6 Tinder In this part you should describe your business to the investor. You have to make sure he can make it clear Meetup TOO SLOW Facebook TOO FAR
  • 7. Unique Points • Matching System creates party automatically + based on similarity (e.g. hobby, preference) • GPS-based system • Rating System + make users reliability + improve matching algorithms 7
  • 8. Cost • Initial Cost • Human: 1 million × 2 month × (1Manager +2Engineer+1Tester+1Designer+3Sales+1Machine Learning Specialist) • Commercial: 25,000,000 yen • 10 million × (2ITSupport+2Sales+3Operator) 8 Initial Cost Running Cost (yearly) 43,000,000 yen 70,000,000 yen
  • 9. Number of Potential user 9 Japan populations: 120 millions Age in 20~40: 36 millions Singles who want a lover: 15 millions Has no rejection on 合コン: 3 millions * Reference: 少子化対策白書--Japanese government
  • 10. Revenue 10 • User: 3,000,000 * 20% = 600,000 • Average frequency is 3 times in a year • Profit: 3000 * 5% = 150yen for 1 time • Revenue in a year: 600,000 * 3 * 150 =270,000,000yen Montly Profit(1st year) 13 million yen Montly Profit(2nd year) 16 million yen

Hinweis der Redaktion

  1.    - Many of people go there just for fun(They already have girlfriend) 3 girls and 3 boys meet up to    - Those who need to 合コン can’t gather enough people As a result    - The possiblity of success is low    - Many people are still single *If this exist → 少子高齢化
  2. National problem
  3. We will develop an matching making platform for 合コン to solve this problem.  - 幹事 will not be needed! - You can go 合コン anytime you want! - Best matching system to find the right person! Let's see our Demonstration.
  4. *GPS-based - Helps you 合コン with people nearby. *Matching system - match the person with high similarity(same hobby etc.) automatically - It has high user experience for you don't need to do many choices. *Rating system - Attenders can get score and amount from other attenders to improving themselves - Matching system can be improved based on the data by the approach of machine learning
  5. AWS: 20,000