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

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

Dec 21, 2022 18 likes •138 views

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

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SLIDE 1

From Students… …to Professionals

The Capstone Experience

Project Plan

Location-Based Personalized Shopping

Team Meijer

Blaire Izbicki Jacob Kalt Chris Le Sasha Morford Jack Studzinski Department of Computer Science and Engineering Michigan State University Spring 2019

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SLIDE 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

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SLIDE 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

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SLIDE 4

Screen Mockup: Home & Account

The Capstone Experience 4 Team Meijer Project Plan Presentation

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SLIDE 5

Screen Mockup: Deals

The Capstone Experience 5 Team Meijer Project Plan Presentation

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SLIDE 6

Screen Mockup: Admin Home

The Capstone Experience 6 Team Meijer Project Plan Presentation

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SLIDE 7

Screen Mockup: Specification Screen

The Capstone Experience 7 Team Meijer Project Plan Presentation

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SLIDE 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

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SLIDE 9

System Architecture

The Capstone Experience Team Meijer Project Plan Presentation 9 SQL Database Xamarin Backend Notification Hubs MIST Access Points iOS Android

Mobile Apps

Admin Dashboard

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SLIDE 10

System Components

  • Hardware Platforms

▪ iOS and Android Devices ▪ Mist Wireless Access Points

  • Software Platforms / Technologies

▪ Xamarin Framework

  • Native Android and iOS applications

▪ Microsoft Azure

  • App Services
  • Notification Hubs
  • SQL Database

▪ Mist SDK and APIs ▪ AngularJS ▪ Machine Learning Algorithm

The Capstone Experience Team Meijer Project Plan Presentation 10

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SLIDE 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

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SLIDE 12

Questions?

The Capstone Experience Team Meijer Project Plan Presentation 12

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