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Efficient Product Locator System for Large Retail Stores

This project aims to develop a user-friendly computer-based product locator system for large retail stores. Customers will be able to quickly find product locations, relevant coupons, and detailed product information using a simple searchable interface with a single query field. The system leverages centralized databases and showcases a menu-driven user interface to enhance customer experience. By addressing common issues, such as difficulty locating products and forgetting coupons, this solution is designed to save time and increase coupon usage, resulting in improved sales and reduced customer complaints.

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Efficient Product Locator System for Large Retail Stores

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  1. PRODUCT LOCATOR Presented By Richard Raehl

  2. INTRODUCTION • Large stores with diverse inventories • Provide to the customer a computer terminal that has a searchable system requiring only one query field that will return product location relevant coupons and product information. • Product Locator

  3. PROJECT MANAGEMENT PLANNING • Resource Management • Planning and Control Management • Communication and Coordination Management

  4. RESOURCE MANAGEMENT • Development Team • External Expertise • Facilities • Equipment / Technology • Financial

  5. PLANNING and CONTROL MANAGEMENT • Complete the functional specifications of a Product Locating System during the Fall semester • 30 days based on a time multiplier of 2

  6. PLANNED PROJECT OBJECTIVES and TASK • Website • Information for Database • Test Database • Code • Implementation

  7. MANAGEMENT CONTROL • Monitor results • Delegate responsibilities

  8. COMMUNICATION and COORDINATION MANAGEMENT • Communication • Contact • Coordination

  9. PROJECT MANAGEMENT FEASIBILTY • Communication skills • Experience large technical projects • Organization

  10. SOCIETAL CONCERNS • Locating products in warehouse type stores • Finding coupons for those products

  11. CONSUMER SURVEY • 88% had problems locating a product • 96% forgot coupons they intended to use • 24% did not use coupons • 44% of those who did not use coupons was because they could not find them

  12. SOLUTION • Provide the customer with a computer based user friendly product locator and coupon dispenser

  13. COMPUTER BASED • 86% of consumers surveyed know how to use a computer US Census Bureau 1999 • 54 million households have computers • 94 million use/have internet access

  14. EASY TO USE • Survey showed that people were comfortable with menu driven commands, keyboards and the mouse. • Fonts 12 - 18

  15. BENEFIT to SOCIETY • Save customers time and money • Increase use of coupons • Decrease customer complaints • Increase sales

  16. TECHNICAL CONCERNS • Project components overview • Scope • Technical • Feasibility

  17. PROJECT COMPONENTS OVERVIEW

  18. SCOPE • Store selection • Scope diagram • Components not in scope

  19. HOME DEPOT

  20. SCOPE DIAGRAM

  21. TECHNICAL ISSUES • User interface • Search mechanism / database access • Results / Display • Feasibility

  22. EXAMPLE USER INTERFACE

  23. SEARCH MECHANISM / DATABASE ACCESS • Centralized database • Database fields • Queries

  24. CENTRALIZED DATABASE

  25. CENTRALIZED DATABASE • Components connect to database using a hub • Physical placement of kiosks not limited • Number of kiosks unlimited

  26. DATABASE FIELDS and QUERIES • Name, description, SKU# • One search box • Return list of possible results, user select best one

  27. EXAMPLE RESULTS / DISPLAY

  28. STORE DIAGRAM

  29. FEASIBILITY • Existing location-inclusive database • Hardware off-the-shelf • Cost are relatively low

  30. FINANCE • Development / Implementation • Maintenance • Cost / Benefit Analysis

  31. DEVELOPMENT / IMPEMENTATION • Software • Hardware • Implementation

  32. MAINTENANCE • Database • Software • Hardware

  33. COST / BENEFIT ANALYSIS • Total cost over 10 years • Return on investment

  34. SUMMARY • Problem locating products and associated coupons • Provide product location, information, and coupons • Professional experienced team • Benefit to consumers • Technically feasible • Positive cost / benefit analysis

  35. CONTACT INFORMATION • Web site http://cs.odu.edu/~aungvars/shoppingasst/ • Andrew Ungvarsky pxpx@mindspring.com • Ali Miamee alimiamee@hotmail.com • Sadina Little mowtcoofr@aol.com • David Zhai dzhai@cs.odu.edu • Richard Raehl rraeh001@odu.edu

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