Monthly Retail Security Incident Analysis

Track and analyze security incidents, loss prevention effectiveness, and location-based patterns to optimize retail security strategies and reduce losses.

Report Objective

Monitor and analyze retail security incidents, their financial impact, and prevention effectiveness across all store locations. Focus on identifying patterns, evaluating loss prevention strategies, and recommending tactical improvements to reduce shrinkage and enhance store security.

Incident Trends and Financial Impact

Analysis of security incident volumes and associated losses

Questions to Consider:

Mar 2024Apr 2024May 2024month80100120140160sum(total_incidents)sum(total_incidents)How are Security Incidents Trending Monthly?Total incidents showing seasonal patterns with recent upward trend
  • What is the month-over-month change in total incidents?

  • Are there any notable seasonal patterns?

  • How does this compare to the same period last year?

  • Which incident types are causing the highest financial losses?

  • How has the distribution of incident types changed?

  • Are certain types of incidents increasing in frequency?

ShopliftingEmployee TheftFraudInventory ShrinkageVandalismincident_type0200K400K600K800Ksum(estimated_loss)sum(estimated_loss)What Types of Security Incidents Are Most Common?Distribution of incidents by type and associated financial losses

Prevention Effectiveness

Evaluation of loss prevention metrics and recovery rates

Questions to Consider:

Mar 2024Apr 2024May 2024month0.240.260.280.30.32apprehension_rateapprehension_rateHow Effective Are Our Prevention Efforts?Monthly apprehension rates and recovery values
  • What is the trend in apprehension rates?

  • How much merchandise value is being recovered?

  • Are prevention strategies improving over time?

Location-Based Analysis

Pattern analysis by store type and timing

Questions to Consider:

  • Which store types are most vulnerable to incidents?

  • What are the peak times for incidents by location?

  • How do incident patterns vary by store type?

MallStrip CenterStandalonestore_type05001,0001,500sum(incident_count)EveningMorningWeekendAfternoonWhich Store Types Experience the Most Incidents?Incident distribution by store type and peak times

Areas for Additional Focus