Weekly Shipping Performance Summary - Textiles & Leather Goods Distribution

Track and analyze key shipping metrics including on-time delivery performance, costs, and exceptions to optimize distribution operations and maintain service levels for textile and leather goods shipments.

Report Objective

Monitor weekly shipping performance metrics for textile and leather goods distribution, focusing on delivery reliability, cost efficiency, and exception management to ensure optimal service levels and operational effectiveness.

On-Time Delivery Performance

Line chart showing weekly on-time delivery rates with total shipment volume overlay

Questions to Consider:

Mar 2024Apr 2024May 2024week_date100.0%120.0%140.0%160.0%180.0%sum(on_time_delivery_rate)sum(on_time_delivery_rate)How is Weekly On-Time Delivery Performance Trending?On-time delivery rates showed consistent performance with seasonal variations
  • What is the week-over-week change in on-time delivery rate?

  • Are there any concerning trends in delivery performance?

  • How do current rates compare to historical averages?

  • Which carriers consistently meet performance targets?

  • Are there specific carriers showing performance issues?

  • How does volume distribution affect carrier performance?

CarrierACarrierBCarrierCCarrierDCarrierEcarrier_name0.0%500.0%1000.0%1500.0%sum(on_time_delivery_rate)CarrierACarrierBCarrierCCarrierDCarrierEHow Does Carrier Performance Compare?Variation in performance across carriers indicates optimization opportunities

Shipping Cost Analysis

Bar chart displaying weekly average cost per shipment and total shipping costs

Questions to Consider:

Mar 2024Apr 2024May 2024week_date$17.00$18.00$19.00$20.00avg_cost_per_shipmentavg_cost_per_shipmentWhat are the Weekly Shipping Cost Trends?Cost per shipment variations highlight efficiency opportunities
  • How are shipping costs trending over time?

  • What factors are driving cost variations?

  • Are there opportunities for cost optimization?

Delivery Exceptions and Claims

Bar chart showing exception rates by type with week-over-week comparison

Questions to Consider:

  • Which exception types occur most frequently?

  • Are there actionable patterns in the exceptions data?

  • How effective are current exception prevention measures?

Address ErrorDamaged PackageLost PackageWeather DelayOtherexception_type0.0%20.0%40.0%60.0%sum(exception_rate)sum(exception_rate)What are the Most Common Delivery Exceptions?Exception patterns reveal areas requiring operational focus

Areas for Performance Improvement