1. Data Collection & Structure
Create a spreadsheet with columns for: Route (Lane), Date, Spot Rate, Contract Rate, Carrier, and Notes (for events like CNY, hurricanes).
A Strategic Guide to Comparing Quarterly Freight Averages and Anticipating Price Fluctuations
For global shippers and supply chain managers, navigating the volatile ocean and air freight markets is a constant challenge. Seasonal trends, capacity crunches, and geopolitical events can cause shipping costs to swing dramatically. The CNFANS Spreadsheet
The foundation of this methodology is the systematic collection and averaging of freight rates (e.g., Shanghai to Los Angeles, Shenzhen to Rotterdam) on a quarterly basis. Instead of focusing on daily spikes or troughs, the CNFANS Spreadsheet helps you establish a reliable baseline for comparison:
Create a spreadsheet with columns for: Route (Lane), Date, Spot Rate, Contract Rate, Carrier, and Notes (for events like CNY, hurricanes).
Dedicate a summary sheet to quarterly averages. Use formulas to compare quarters:
Percentage Change = ((Q2 Average - Q1 Average) / Q1 Average) * 100
Create line or bar charts to visualize the cyclical movement of rates on key lanes year-over-year (YoY).
This is where the analysis pays off. By understanding historical patterns, you can:
Your CNFANS Spreadsheet might reveal this 3-year pattern for Q3 averages:
| Year | Q3 Average Rate (per 40HQ) | Change vs. Q2 |
|---|---|---|
| 2023 | $4,200 | +22% |
| 2022 | $5,800 | +18% |
| 2021 | $7,500 | +35% |
Anticipation for 2024:
The CNFANS Spreadsheetquarterly freight averages, you equip your business with the foresight to anticipate price fluctuations, optimize timing, negotiate effectively, and protect your bottom line. In an unpredictable world, this disciplined approach provides a clear, data-driven strategy for managing one of your most significant operational expenses—shipping.