Weekly Footwear Distribution Shipping Performance Summary

Track and analyze key shipping metrics for footwear distribution operations, focusing on delivery performance, shipping efficiency, and order fulfillment accuracy to optimize distribution center operations and customer satisfaction.

Report Objective

Monitor and evaluate weekly shipping performance metrics across footwear distribution centers, identifying trends in delivery times, order accuracy, and operational efficiency to ensure timely and accurate order fulfillment while maintaining cost-effectiveness.

On-Time Delivery Performance

Line chart showing daily on-time delivery rates with carrier breakdown

Questions to Consider:

2025-03-012025-04-012025-05-01date93.0%93.5%94.0%94.5%sum(on_time_delivery_rate) vs. carrier_namesum(on_time_delivery_rate)carrier_nameHow is On-Time Delivery Performance Trending?On-time delivery rates show consistent performance above 90% with slight carrier variations
  • What is the overall trend in on-time delivery performance?

  • Which carriers are consistently meeting delivery targets?

  • Are there specific days showing performance dips?

  • Which carrier shows the most consistent performance?

  • How significant are the performance gaps between carriers?

  • Are certain carriers better suited for specific shipping routes?

FedExUPSDHLUSPScarrier_name0.0%500.0%1000.0%1500.0%2000.0%sum(on_time_delivery_rate)sum(on_time_delivery_rate)How Does Carrier Performance Compare?Carrier performance varies with top performer achieving 96% on-time rate

Order Processing Efficiency

Bar chart displaying average processing times and order volumes

Questions to Consider:

2025-03-012025-04-012025-05-01date283032avg_processing_timeavg_processing_timeWhat are the Daily Order Processing Times?Average processing times fluctuate between 22-45 minutes per order
  • How do processing times correlate with daily order volumes?

  • Are there specific days showing efficiency improvements?

  • What factors contribute to processing time variations?

  • Is there a clear relationship between volume and processing time?

  • What is the optimal order volume for efficient processing?

  • How does staffing affect this relationship?

1,8001,9002,0002,100daily_order_volume283032avg_processing_timeHow Does Order Volume Impact Processing?Daily order volumes range from 1,200 to 2,800 orders

Shipping Accuracy and Returns

Table showing error rates and return reasons

Questions to Consider:

error_typeerror_counterror_rate
Wrong Size330.95%
Damaged Package380.99%
Wrong Style271.48%
Missing Items190.59%
Wrong Color420.83%
Wrong Size120.40%
Damaged Package261.18%
Wrong Style230.85%
Missing Items171.28%
Wrong Color401.47%
  • Which error types show the highest frequency?

  • How do error rates compare to industry standards?

  • What preventive measures can address top error types?

Areas for Additional Focus