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Tradeport

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Transcript

  • 1.  
  • 2.
    • Online auctioning : A win-win for all
    • Buyers
      • Wide range of options
      • Convenience of Buying
      • Competitive prices,
      • All this and more with just a click!
    • Sellers
      • Broader reach
      • Initial set up and management is not required
      • Easy to market
    Inspiration
  • 3.
    • Social Networking
    • Brings together the most important component of any activity – PEOPLE
    • Hub of human interaction
    • Caters to different interest groups
    • Popular social networks
    • Facebook, Orkut, hi5, LinkedIn, Flixster, MySpace, Ning
    Inspiration
  • 4.
    • Online auctioning + Social networking= Tradeport
    • “ Humanizing” the auctioning experience
    • Interactive and collaborative
    • Trust and reliability
    • Customer to Customer approach
    The Tradeport Vision
  • 5.
    • eBay “Neighborhood”
    • iTaggit
    • Overstock “Reputation Networks”
    • Facebook Marketplace
    • Facebook RadicalBuy
    State-Of-The-Art
  • 6.
    • Social-Networking based Trade
      • Implemented as a Facebook Application
      • Greater appeal the popularity of Facebook
      • Builds up on the usability of Facebook
    • Live auctions and Purchase Now options
    • Increased trust
    • Piggybacked Advertising and Promotion
    • Wear a Buyer or Seller’s hat
    • Can be used for a wide range of products
    The Tradeport Dimension
  • 7. Tradeport on Facebook
  • 8.
    • User chooses a product category of his choice
    • All the products available for bidding or buying are displayed
    • The buyer selects his choice of product
    • He can choose either to buy the product on the spot or bid for it.
    Buyer scenario
  • 9. Buyer scenario
  • 10.
    • Seller enters relevant product details like product description, starting bid price of the product etc.
    • Product database is updated.
    • The buyers are offered this product when they chose the appropriate category
    • The bid/ buy process is initiated
    Seller scenario
  • 11. Seller scenario
  • 12.
    • Bids are placed higher than the current bid, this is allowed till the end of bid time
    • When the bid for a particular product expires the highest bidder is declared the winner.
    • Facebook notifications are sent to the participants of the bid.
    The bidding process
  • 13. The bidding process
  • 14. System architecture overview 1.Load the application 2.Log into facebook and set parameters 3.Redirect to callback URL 4.Execute code on web server 5.Database executions 6.Return the execution result s and render then as html 7.Interact with facebook API and display as a facebook app
  • 15.
    • Java EE Technology- JSP, java servlets.
    • Facebook API
    • Apache Tomcat 6.0 Application Server
    • MySQL 5.0 Database, JDBC
    • Eclipse 3.3.2 IDE for Java EE developers
    Technologies and Tools used
  • 16.
    • Choosing the right configuration and versions
    • Configuring the components
    • Integrating the configurations
    • Learning JSP, servlet programming
    • Learning to query database in JSP
    • Learning to use the Facebook API
    • Implementing what we have learned 
    The Learning Curve
  • 17. More To Come…
    • Recommendation system
      • Rate Buyer and seller and provide feedback after the transaction is over
      • Notifications among friends of bid winner serves as a marketing strategy for the seller
      • Greater levels of trust because of the use of an existing trusted network of users
      • Recommendations can be received from friends or other users of the application thus addition publicity by “word of mouth”
      • Scope for collaborations between sellers
      • Customer Communities based for sharing interests and experiences
  • 18. DEMO

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