RetailTech: Loss Prevention—Understanding the Big Picture To Prevent, Mitigate and Recover “Shrink”ing Profits
26 minutes

RetailTech: Loss Prevention—Understanding the Big Picture To Prevent, Mitigate and Recover “Shrink”ing Profits

Primary Analyst: John Harmon, CFA, Associate Director of Technology Research
Contributors
Primary Analyst: John Harmon, CFA, Associate Director of Technology Research
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What's Inside

Retailers globally are grappling with the heightened incidence of shoplifting, including events involving organized retail crime (ORC), and their actions to combat theft have meaningful consequences for customer sentiment.

In this research report, we explore established and emerging technologies that retailers can leverage to reduce and prevent shrink from external sources, as well as critical loss-prevention measures before, during and after a theft incident.

Dive into the applications and benefits of technologies such as item tags and computer vision, which can help identify, discourage and mitigate the impact of incidents, in addition to enormous benefits from improving inventory accuracy. Plus, discover the central role of AI (artificial intelligence)-powered computer vision in loss prevention and operational efficiency.

Protect your profits today. Gain essential insights to help your business implement a comprehensive loss-prevention strategy that ensures a positive customer experience while safeguarding assets.

This report is made available to non-subscribers of Coresight Research through its sponsorship by Diebold Nixdorf.

Data in this research report include:

  • US retail shrink, in total and as a proportion of total sales
  • Quarterly earnings analysis—references to shrink by selected US- and UK-based retailers
  • Proprietary survey analysis of US consumers’ perceptions of and responses to shoplifting and theft-prevention measures

Companies mentioned in this report include: Aldi, Impinj, Rite Aid, NCR Voyix, Sensormatic, Target, Walgreens, Zebra Technologies,

Other relevant research:

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