Quarterly Network Efficiency Analysis - Office Equipment Distribution

Comprehensive analysis of distribution network performance focusing on delivery efficiency, inventory management, and cost optimization across locations

Report Objective

Track and analyze the efficiency of office equipment distribution network by evaluating delivery performance, inventory management, and cost metrics across locations to identify optimization opportunities and ensure reliable equipment supply to end users.

Delivery Performance Trends

Analysis of delivery times and on-time rates across equipment types

Questions to Consider:

2024-Q12024-Q12024-Q2quarter3.54.04.5sum(delivery_time) vs. equipment_typesum(delivery_time)equipment_typeHow are delivery times trending across equipment types?Average delivery times vary significantly by equipment type, with printers showing longestlead times

  • What equipment types consistently show longer delivery times?

  • Are there seasonal patterns in delivery performance?

  • Which equipment categories show improving delivery times?

  • Which equipment types have the highest on-time delivery rates?

  • Are there consistent patterns in delivery reliability by equipment category?

  • What factors might contribute to lower on-time rates for certain equipment?

PrintersLaptopsMonitorsWorkstationsPeripheralsequipment_type0.0%500.0%1000.0%1500.0%sum(on_time_rate)sum(on_time_rate)How does on-time delivery rate vary by equipment type?On-time delivery rates show variation across equipment categories

Inventory Management Efficiency

Regional comparison of inventory turnover and stock accuracy

Questions to Consider:

EastWestNorthSouthlocation0.050.0100.0sum(inventory_turnover)sum(inventory_turnover)How does inventory turnover vary by location?Regional variations in inventory turnover indicate optimization opportunities

  • Which locations show the highest inventory efficiency?

  • Are there significant differences in turnover rates between regions?

  • How do seasonal factors affect inventory turnover?

  • Which locations maintain the highest stock accuracy?

  • Are there consistent patterns in accuracy fluctuations?

  • What best practices from high-performing locations can be shared?

2024-Q12024-Q12024-Q2quarter93.5%94.0%94.5%95.0%sum(stock_accuracy) vs. locationsum(stock_accuracy)locationHow is stock accuracy trending across locations?Stock accuracy shows improvement across most locations

Distribution Cost Analysis

Breakdown of distribution costs by category and unit economics

Questions to Consider:

TransportationLaborStorageWarehousingcost_category$0$1,000,000$2,000,000$3,000,000$4,000,000sum(total_cost)sum(total_cost)How are distribution costs distributed across categories?Transportation and warehousing represent largest cost components

  • Which cost categories show the highest quarterly variation?

  • Are there opportunities for cost optimization?

  • How do costs correlate with service levels?