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Market Research Report

IoT's Promise and Opportunity in Retail

Published by IHL Group Product code 689280
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IoT's Promise and Opportunity in Retail
Published: June 5, 2018 Content info:
Description

When you start to speak about the potential of IoT in retail the forecasts are all over the map. Some include anything that has internet connectivity, others only count the view of emerging technology items. In our study we focus on the IT spend aspect of IoT. What are retailers spending in certain areas. We look at the following:

  • Rightsizing Inventory
  • In-Store Promotions
  • Layout Optimization/Traffic Patterns
  • Real-Time Intelligent CRM
  • Improved Staff Allocation
  • Improved Staff Priorities
  • Energy Management
  • Proactive Equipment Maintenance

But in the midst of this opportunity is also the minefield around customer privacy. This study talks about best practices, how best to engage consumers to allow for the collection of data that really matters, and what you must do to compel consumers to use the systems.

We look at trends, barriers, best practices and provide a forecast for each of the technologies included worldwide, the size of the IT opportunities to solve these issues, and the major vendors competing in the space.

The report is designed for use by Retailers, Hardware Providers, Software Providers, Service Providers and others who might have a vested interest in the worldwide retail IT market. The complete outline is below.

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Table of Contents

Table of Contents

1.0 Management Summary

2.0 Introduction and Background

3.0 Trends, Drivers, Barriers

4.0 Retail IoT Spend Forecasts

5.0 IT Spend Influenced by IoT

6.0 Retail IoT Use Cases and Forecast

  • 6.1 Rightsizing Inventory
  • 6.2 In-Store Promotions6.1 Rightsizing Inventory
  • 6.3 Layout Optimization/Traffic Patterns
  • 6.4 Real-Time CRM
  • 6.5 Improved Staff Allocation
  • 6.6 Improved Staff Priorities
  • 6.7 Energy Management
  • 6.2 Proactive Equipment Maintenance

7.0 Major Vendors and Capabilities

8.0 Retail Recommendations

10.0 Methodology

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