Leveraging Historical Data for Smarter, More Economical Shipping Decisions
In the competitive world of logistics, controlling freight costs is a critical component of business success. For CNFANS Shipping and its clients, the path to significant savings doesn't always require expensive software; often, it lies within the disciplined analysis of your existing data. By systematically comparing historical freight charges and route performance in a spreadsheet, you can uncover patterns and insights that lead to consistently economical choices. This guide outlines a practical, step-by-step approach.
The first step is to aggregate and organize your past shipping information. Create a structured dataset in your spreadsheet (e.g., Microsoft Excel or Google Sheets) with the following key columns:
Consistently logging this data for every shipment is crucial for meaningful analysis.
With your data in place, use your spreadsheet's tools to transform raw numbers into actionable intelligence.
Use PivotTables or filters to group data by routecarrier. Calculate key metrics:
Look beyond averages. Create charts to visualize:
Use conditional formatting to highlight shipments where costs deviated significantly from the route average, prompting investigation.
Your analysis now guides your decision-making:
For CNFANS Shipping and its partners, a well-maintained spreadsheet is more than a record-keeping tool—it's a strategic asset. By methodically comparing historical freight charges and route performance, you move from guesswork to informed, optimal decision-making. This continuous cycle of track, analyze, choose, and refine
Start structuring your shipment data today. Your first pivot table could reveal tomorrow's saving.
