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Making Location Intelligence Implementation Decisions in Retail

Published by: Yankee Group

Published: Oct. 24, 2006 - 3 Pages


Table of Contents


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Abstract

Location Intelligence Enhances Competitive Advantage
A retailer’s ability to respond to customer demands and competitive pressures relies greatly on having accurate information about where goods and products are at any time, and then using that information to make strategic business decisions. Location intelligence can lead to smarter business decisions, more effective customer-facing policies and procedures and improvement of business operations and profits.

From a product’s conception to its final sale, multiple parties are responsible for its production. The retail supply chain of raw materials suppliers, contract assemblers, manufacturers, logistics providers and distribution networks now extend worldwide. This global distribution system makes it challenging for products to reach their destinations on time.

Nevertheless, on-time product delivery is a retailer’s primary goal. Running out of stock can spell disaster. Therefore, retailers must have visibility and up-to-date intelligence into their supply chains. Otherwise they risk losing consumers, who can then turn to competing retailers, on-line stores and thrift stores to make their purchases.

Implementing the principles of location intelligence is the right investment for retailers focused on improving their supply chain and operations. Knowing where demand is and where products are improves decision-making for:
  • Identifying optimal store locations based on buying data and trends
  • Forecasting and demand planning
  • Comparing success rate of store concepts between markets and stores
  • Optimizing product placement with marketing campaigns
  • Reducing damage and theft of product
Interrelationship of Location Intelligence and Technology Infrastructure

Location intelligence is an output of applications and technologies that:
  • Gather location information. This includes devices that determine location such as GPS, radiofrequency ID (RFID) and WLAN.
  • Process and analyze location information. Geospatial information systems provide adept statistical analysis, reporting and visualization of spatial information such as latitude, longitude and altitude.
  • Merge internal data with external data. This category includes contextual location information ranging from simple census bureau statistics by ZIP code to business partners sharing supply and demand location data obtained from internal systems. In addition, retailers purchase data from third parties that provides additional context such as satellite imagery, demographics and drive times between locations. Merging all of these data sources around location or where creates the ability for advanced analysis or location intelligence.


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