Weekly Loss Prevention & Shrinkage Report

Track and analyze inventory shrinkage patterns across store locations, identifying loss trends and opportunities for prevention measures. Monitor both known and unknown losses while evaluating the effectiveness of current loss prevention strategies.

Report Objective

Monitor weekly inventory shrinkage metrics across store locations to identify patterns, assess loss prevention effectiveness, and recommend targeted interventions. Track both internal and external theft incidents while evaluating the impact of current security measures on reducing losses.

Overall Shrinkage Trends

Line chart showing weekly shrinkage value and incident counts

Questions to Consider:

2024-03-012024-04-012024-05-01week_date$6,500$7,000$7,500$8,000$8,500total_shrinkage_valuetotal_shrinkage_valueHow is Weekly Shrinkage Value Trending?Weekly shrinkage values showing pattern of losses over time
  • What is the week-over-week change in total shrinkage value?

  • Are there any seasonal patterns in shrinkage amounts?

  • How do current values compare to the previous quarter?

  • How has the frequency of incidents changed over time?

  • Are there specific weeks showing unusual spikes in incidents?

  • What is the average number of weekly incidents?

2024-03-012024-04-012024-05-01week_date0510152025incident_countincident_countWeekly Shrinkage Incident FrequencyNumber of recorded shrinkage incidents by week

Loss Type Analysis

Bar chart breaking down shrinkage by category and location

Questions to Consider:

External TheftInternal TheftAdministrative ErrorVendor Fraudloss_category$0$50,000$100,000$150,000$200,000sum(total_value)sum(total_value)Distribution of Loss TypesBreakdown of shrinkage by category
  • Which loss categories represent the highest value of shrinkage?

  • How do different types of theft compare in terms of total value?

  • What percentage of losses are due to internal vs external factors?

  • What proportion of total shrinkage does each category represent?

  • Which categories should be prioritized for prevention measures?

  • How has the distribution of loss types changed over time?

External TheftInternal TheftAdministrative ErrorVendor Fraudloss_category0.0%100.0%200.0%300.0%400.0%sum(percentage)sum(percentage)Loss Category ProportionsPercentage contribution of each loss category

Prevention Effectiveness

Table showing key prevention metrics by store

Questions to Consider:

store_locationprevention_success_raterecovery_value
Store 00194.7%$7,530
Store 00295.0%$7,274
Store 00391.3%$2,715
Store 00476.1%$3,164
Store 00185.8%$6,043
Store 00287.9%$9,957
Store 00378.0%$6,562
Store 00469.6%$4,247
Store 00151.1%$4,857
Store 00266.7%$10,216
  • Which stores show the highest prevention success rates?

  • How do recovery values correlate with prevention success?

  • What best practices can be learned from top-performing stores?

Areas for Additional Focus