Recovering Unused Meal Credits
Daniel Colbeth, Emily Wylde, Stephen Lauver
BIG Idea
Buy university
meal credits at
a discounted
price
Sell unused
university
meal credits
and earn a
profit
Research
15% of meal credits at US universities
go unused each week
7% of college-aged students’ income is
spent on dining out
Every student surveyed said that they
would use Swipe’d
Pilot at Temple University
Would you use Swipe'd?
Market
Exists
• Do you have a meal plan?
7%
Buyers
Market
• Do you run out of meal credits
before the end of a typical week?
Yes
No
Sellers
Market
• Do you have
extra meals credits
93%
at the end of a typical week?
Implementation Plan
Contact dining service for meal plan information
Hold focus group to demonstrate market demand
Reach market through existing channels
(Facebook, Twitter, word-of-mouth, etc.)
Roll-out to other universities once a user-base is
established
Competitive Analysis
Non-Consumption
• Students not recovering unused meals/purchasing
additional meals with Swipe’d application
Financial Analysis
Cost Structure
• App Development (including API)
• ~$70,000
• App Maintenance/Improved Functionality
• ~$14,000/year
• Other Fees
• Google Play fees (takes 30% of the original meal posting
price per transaction)
Future Revenue Streams
• 10% transaction fee per transaction
• Application Download Fees
• Monthly Subscription/Pay-per-post
• University Licensing
Three Year Analysis
Year 1
Year 2
Year 3
Pilot Program
Local Expansion
Further Expansion
Temple University
2 of Philadelphia’s 19 Universities
4 additional Universities
Gain user-base
Gain user-base through features
Established user-base
No revenue
Revenue generation
Profitability
University Licensing
Moving Forward
Added Functionality
Improved features within Swipe’d
In-house transaction processing system
•Avoid 30% Google Play fee per transaction
Share Meals with Friends
•Feature allowing you to transfer meals at no cost
Incentive Program
•For buyers and sellers
Delivery system for meals
•Meals delivered to your location
Appendix
Architectural Analysis
Devices
Network
Applications
Data
Smartphone
(iPhone or
Android)
Cloud
API
Temple
Dining Data
Tablet
Cellular
Network
Google Play
Swipe’d
User Data
Swipe’d
Application
Data Model