Track and analyze inventory shrinkage patterns, security incidents, and loss prevention effectiveness across retail locations. Monitor key metrics including shrinkage value, incident types, and recovery rates to identify trends and optimize loss prevention strategies.
Report Objective
Monitor and analyze weekly retail shrinkage metrics, security incidents, and loss prevention effectiveness to identify patterns, assess financial impact, and drive targeted prevention strategies. Focus on inventory discrepancies, theft incidents, and recovery efforts across all retail locations.
Shrinkage Trends and Financial Impact
Line chart showing weekly shrinkage value trends with incident breakdown
Questions to Consider:
How does current week shrinkage compare to previous periods?
What is the distribution between known and unknown loss?
Which categories of merchandise are most affected?
What is the total financial impact of shrinkage this week?
What is the week-over-week change in total shrinkage value?
Are there any seasonal patterns in shrinkage trends?
How does current shrinkage compare to historical averages?
What percentage of shrinkage has identified causes?
How is the ratio of known to unknown loss changing over time?
Incident Analysis and Prevention Effectiveness
Bar chart showing incident types and prevention metrics
Questions to Consider:
What are the most common types of security incidents?
How effective are current prevention measures?
Are there patterns in timing or location of incidents?
What is the recovery rate for different incident types?
Which incident types are most frequent?
How has the distribution of incident types changed?
Are there emerging patterns in incident types?
Which types of incidents have the highest recovery rates?
Where are recovery efforts most effective?
What factors contribute to higher recovery rates?
Store Performance and Risk Assessment
Table comparing store-level metrics and risk indicators
Questions to Consider:
Which locations show concerning shrinkage trends?
How do prevention measures vary by location?
What correlations exist between store characteristics and shrinkage rates?
Are there specific times or days with higher incident rates?
store_id
shrinkage_rate
weekly_incidents
risk_score
Store 001
1.60%
6
5.5
Store 002
0.10%
6
4.5
Store 003
2.22%
10
7.5
Store 001
1.33%
3
6.4
Store 002
0.79%
6
3.4
Store 003
1.46%
4
4.6
Store 001
1.66%
4
4.7
Store 002
0.91%
7
7.2
Store 003
1.10%
6
5.0
Store 001
1.08%
2
2.9
Which stores show the highest risk levels?
How do incident rates correlate with overall risk scores?
What patterns emerge in store-level shrinkage rates?