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

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Sep 06, 2022 161 likes •402 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

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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

Shopster

The Ultimate Shopping Guide 

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Presentation Outline

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

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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

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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)

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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

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Example Scenario

 User-Interface Storyboard

 Find nearby offers

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View Home Screen

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Activate GPS and Search for nearby shops

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Nearby Shops

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View the Shop

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Offers by the Shop

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Select an offer

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View Comments of the Offer

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Insert Comment and Rating on Offer

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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

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Challenges

Issues Solution Attracting users Reward System based on contribution

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Challenges

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

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Challenges

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

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Challenges

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

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Challenges

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

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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

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Questions

Thanks for your attention!