shopster
play

Shopster The Ultimate Shopping Guide K Y R I A C O S A C H I L L E - PowerPoint PPT Presentation

Sep 06, 2022 •161 likes •400 views

Shopster The Ultimate Shopping Guide K Y R I A C O S A C H I L L E O S C H R Y S O V A L A N T I S A G A T H A N G E L O U M A R I O S A G A T H O K L E O U S P A R I S I O N A S P Y R O S M I L T I A D O U S R A J R A J E N D R A N

  1. Shopster The Ultimate Shopping Guide  K Y R I A C O S A C H I L L E O S C H R Y S O V A L A N T I S A G A T H A N G E L O U M A R I O S A G A T H O K L E O U S P A R I S I O N A S P Y R O S M I L T I A D O U S R A J R A J E N D R A N

  2. Presentation Outline  Introduction  Research  Proposed Features  Example Scenario  Project Feasibility  Challenges  Advantages & Reasons to Invest  Questions

  3. Introduction  Many offers coming out daily  Difficult to keep track of all of them  Shops advertise their own offers  Need for a centralised repository  Shopping is time-consuming  Can’t find a suitable offer quickly  Difficult to share offers  Shopping should be socialised  Need for information portability  Use of mobile devices/applications

  4. Research  Academic Articles  Social aspect of application is important  Trust & Reward System motivates users  Recommendation Algorithms  Similar Applications  Social Network Applications (e.g. FourSquare, ShopSavvy)  Location-based (e.g. Groupon, TheFind)  Product-based (e.g. ShopSavvy, Google Shopper)

  5. Proposed Features  Location Tracking (GPS)  User-generated content  Everyone can post new offers  Rating of shops & offers  Discussions, Groups & Friendships  Reward System  Recommendation Algorithms  Social Network plugins  User Categorisation  Classification of shops and offers

  6. Example Scenario  User-Interface Storyboard  Find nearby offers

  7. Login to Shopster

  8. View Home Screen

  9. Activate GPS and Search for nearby shops

  10. Nearby Shops

  11. View the Shop

  12. Offers by the Shop

  13. Select an offer

  14. View Comments of the Offer

  15. Insert Comment and Rating on Offer

  16. Project Feasibility  Development Feasibility  Android Application  Use of existing APIs  Minimal development & operational costs  Socioeconomic Feasibility  Initial offers published by developers  Free registration & Reward system  Potential profit

  17. Challenges Issues Solution Reward System based on contribution Attracting users

  18. Challenges Issues Solution Reward System based on contribution Attracting users Reputation value User trust

  19. Challenges Issues Solution Reward System based on contribution Attracting users Reputation value User trust Restricted user profiles Privacy

  20. Challenges Issues Solution Reward System based on contribution Attracting users Reputation value User trust Restricted user profiles Privacy Shop owner limitations Competitive “propaganda”

  21. Challenges Issues Solution Reward System based on contribution Attracting users Reputation value User trust Restricted user profiles Privacy Shop owner limitations Competitive “propaganda” Feedback restrictions Feedback misuse

  22. Advantages & Reasons to Invest  Offer-based mobile application  Unique combination of features  User contribution & user-generated content  Advertising the product will increase popularity  Can be profitable  Shop owners paying membership  Including advertisements  Charge for analytical reports

  23. Questions Thanks for your attention!

More recommend