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Project Plan Location-Based Personalized Shopping The Capstone - PowerPoint PPT Presentation

Project Plan Location-Based Personalized Shopping The Capstone Experience Team Meijer Blaire Izbicki Jacob Kalt Chris Le Sasha Morford Jack Studzinski Department of Computer Science and Engineering Michigan State University Spring 2019


  1. Project Plan Location-Based Personalized Shopping The Capstone Experience Team Meijer Blaire Izbicki Jacob Kalt Chris Le Sasha Morford Jack Studzinski Department of Computer Science and Engineering Michigan State University Spring 2019 From Students… …to Professionals

  2. Functional Specifications • Enhance the mPerks mobile application • Leverage the customer’s in -store location and past purchases • App will push personalized deals based on ▪ Where the customer is in the store ▪ Their past purchases • Goal is to drive additional sales The Capstone Experience Team Meijer Project Plan Presentation 2

  3. Design Specifications • Two Deliverables • Mobile Application ▪ Home screen with user store and sale information ▪ Account page with location rewards preferences ▪ Deals page to view and save nearby sales • Admin Data Dashboard ▪ Home screen that overviews the result of the Location-Based Personalized Shopping feature ▪ Specification screen where purchase data can be visualized The Capstone Experience Team Meijer Project Plan Presentation 3

  4. Screen Mockup: Home & Account The Capstone Experience Team Meijer Project Plan Presentation 4

  5. Screen Mockup: Deals The Capstone Experience Team Meijer Project Plan Presentation 5

  6. Screen Mockup: Admin Home The Capstone Experience Team Meijer Project Plan Presentation 6

  7. Screen Mockup: Specification Screen The Capstone Experience Team Meijer Project Plan Presentation 7

  8. Technical Specifications • Mobile applications ▪ Customer view and use • Web Application ▪ Employee view of analytic data • .NET Backend Service ▪ Data retrieval and computation • SQL Database ▪ Store customer purchase data • Mist Access Points and SDK ▪ Gather location data • Machine Learning ▪ Will be used to predict recommended items near the customer as they walk through the store The Capstone Experience Team Meijer Project Plan Presentation 8

  9. System Architecture Admin Dashboard Mobile Apps SQL Xamarin Database Backend iOS MIST Access Points Notification Hubs Android The Capstone Experience Team Meijer Project Plan Presentation 9

  10. System Components • Hardware Platforms ▪ iOS and Android Devices ▪ Mist Wireless Access Points • Software Platforms / Technologies ▪ Xamarin Framework o Native Android and iOS applications ▪ Microsoft Azure o App Services o Notification Hubs o SQL Database ▪ Mist SDK and APIs ▪ AngularJS ▪ Machine Learning Algorithm The Capstone Experience Team Meijer Project Plan Presentation 10

  11. Risks • Modularity ▪ Integrating with mPerks ▪ Study app and consult team • Mist Technology ▪ Unfamiliar technology ▪ Receive hardware for testing; Mist contacts and documentation • Testing Viability ▪ Field testing difficulty; Accuracy in location ▪ Receive hardware for local testing • Variability in Data ▪ Changes in store layout and inventory ▪ Decrease dependence on variability The Capstone Experience Team Meijer Project Plan Presentation 11

  12. Questions? ? ? ? ? ? ? ? ? ? The Capstone Experience Team Meijer Project Plan Presentation 12

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