ACBUY Spreadsheet: How to Compare Freight Efficiency Across Couriers
Leveraging historical shipping data to select the fastest and most cost-effective delivery line for your business.
In the complex world of logistics, choosing the right courier is a critical business decision. It's a constant balance between speed, cost, and reliability. The ACBUY Spreadsheet
The Core Methodology: Data-Driven Comparison
The process involves collecting, organizing, and interpreting historical shipment data to create a clear efficiency matrix for each courier and service level.
Step 1: Data Collection & Segmentation
Gather historical data from the past 6-12 months. Key data points must include:
- Courier Name & Service Level:
- Route:
- Actual Transit Time:
- Declared & Actual Cost:
- Parcel Dimensions & Weight:
- Performance Notes:
- Route:
Step 2: Building the ACBUY Comparison Matrix
Create a spreadsheet with the following comparison columns for each route:
- Avg. Cost per Shipment:
- Avg. Transit Time:
- Cost Reliability:
- Time Reliability:
- Efficiency Score (Custom):
- Avg. Transit Time:
Step 3: Analysis & Lane Selection
Analyze the matrix to identify patterns:
- For Urgency:
- For Cost-Effectiveness:85%).
- For Balanced Efficiency:
Practical Application: A Scenario
Imagine you ship regularly from Shenzhen to Berlin. Your ACBUY Spreadsheet for this lane reveals:
- Courier X (Express):
- Courier Y (Standard):
- Courier Z (Economy):
- Courier Y (Standard):
Decision:
Conclusion: From Data to Strategic Advantage
The ACBUY Spreadsheet
By adopting this disciplined approach, you stop comparing quoted promises and start comparing delivered reality, unlocking sustained gains in freight efficiency and supply chain resilience.