How Shippers Can Use Data to Improve Decision-Making
- Jun 9
- 5 min read
3 minute read
Author: M.S.
Turning Transportation Data Into Better Business Outcomes
For years, transportation decisions were often made based on experience, intuition, and whatever information happened to be available at the moment. While experience is still valuable, today's supply chains generate more data than ever before—and shippers who know how to use that data gain a significant competitive advantage.
The challenge isn't collecting information. Most shippers already have access to transportation data from carriers, brokers, transportation management systems (TMS), tracking providers, and internal operations teams. The real challenge is turning that data into actionable insights that improve performance.
When used effectively, transportation data can help shippers reduce costs, improve service levels, strengthen carrier relationships, and make smarter operational decisions.
Why Data Matters More Than Ever
Supply chains are becoming increasingly complex. Customer expectations continue to rise, transportation costs fluctuate, and disruptions can occur with little warning.
Without reliable data, shippers are often left reacting to problems instead of proactively managing them.
Data allows transportation teams to:
Identify inefficiencies
Monitor carrier performance
Improve shipment visibility
Forecast potential disruptions
Reduce transportation costs
Improve customer communication
Make more informed strategic decisions
Instead of asking, "What happened?" organizations can begin asking, "Why did it happen?" and "How can we prevent it from happening again?"
The Difference Between Data and Information
Many companies collect large amounts of transportation data but struggle to generate meaningful insights.
Raw data might include:
Shipment locations
Transit times
Carrier updates
Freight invoices
Delivery timestamps
Trailer locations
Information is created when that data is organized and analyzed to reveal patterns.
For example:
Raw Data:
Carrier A delivered 87% of loads on time last quarter.
Useful Information:
Carrier A's on-time performance dropped by 8% compared to the previous quarter, primarily affecting deliveries in the Southeast region.
This type of insight helps transportation managers make informed decisions instead of relying on assumptions.
Key Transportation Metrics Every Shipper Should Track
Not all data is equally valuable. The most effective shippers focus on a handful of key performance indicators (KPIs) that directly impact service and cost.
On-Time Pickup and Delivery Performance
Tracking pickup and delivery performance provides a clear picture of carrier reliability.
Questions to ask:
Which carriers consistently meet service expectations?
Which lanes experience the most delays?
Are delivery issues becoming more frequent?
Reliable performance data helps shippers make better carrier selection decisions and improve customer satisfaction.
Freight Spend
Transportation costs often represent one of the largest expenses within a supply chain.
Data analysis can help identify:
Rising lane costs
Seasonal spending trends
Accessorial charges
Opportunities for consolidation
Many organizations discover significant cost-saving opportunities simply by gaining better visibility into their transportation spend.
Dwell and Detention Time
When trucks spend excessive time waiting at facilities, costs increase quickly.
Monitoring dwell and detention data helps shippers:
Improve facility efficiency
Reduce detention charges
Improve carrier relationships
Increase driver satisfaction
Even small improvements in loading and unloading efficiency can have a meaningful financial impact.
Transit Time Trends
Average transit times can reveal operational bottlenecks that may otherwise go unnoticed.
Analyzing transit time data helps identify:
Delayed routes
Capacity constraints
Seasonal challenges
Carrier performance issues
The goal isn't simply faster transit—it's more predictable transit.
Exception Management Metrics
Transportation teams spend countless hours responding to shipment exceptions.
Tracking exception data helps identify recurring issues such as:
Missed appointments
Delayed pickups
Equipment shortages
Weather-related disruptions
By understanding the root causes of exceptions, organizations can implement preventative measures.
Using Data to Improve Carrier Performance
Carrier relationships play a critical role in transportation success.
Many shippers evaluate carriers based on anecdotal experiences or isolated incidents. Data provides a much clearer picture.
A carrier scorecard can include:
On-time pickup percentage
On-time delivery percentage
Claims frequency
Communication responsiveness
Tender acceptance rates
Tracking compliance
By measuring performance consistently, shippers can:
Reward high-performing carriers
Identify areas for improvement
Strengthen partnerships
Improve service reliability
Data-driven carrier management leads to more productive relationships and better overall network performance.
Improving Visibility Through Better Data
One of the most common buzzwords in logistics today is visibility.
However, visibility goes beyond simply knowing where a shipment is located.
True visibility includes:
Layer 1: Location Visibility
Knowing where a truck, trailer, or shipment is currently located.
Layer 2: ETA Visibility
Understanding when the shipment is expected to arrive.
Layer 3: Exception Visibility
Receiving alerts when something deviates from plan.
Layer 4: Operational Visibility
Understanding how transportation impacts inventory, labor, and customer commitments.
Layer 5: Predictive Visibility
Using historical and real-time data to anticipate future disruptions.
As visibility improves, decision-making becomes faster, more accurate, and more proactive.
The Role of Trailer Tracking in Data Collection
Many shippers focus exclusively on shipment tracking while overlooking valuable trailer data.
Trailer tracking solutions can provide insights into:
Asset utilization
Dwell time
Yard management
Equipment availability
Trailer location history
For companies managing large trailer pools, this information can uncover inefficiencies that would otherwise remain hidden.
Better trailer visibility often translates into improved asset utilization and reduced operating costs.
Moving From Reactive to Proactive Decision-Making
The most successful transportation organizations use data to anticipate problems before they occur.
For example:
Instead of discovering a delay after a missed delivery appointment, predictive analytics can identify risk factors hours—or even days—in advance.
Instead of reacting to rising transportation costs, spend analysis can reveal trends early enough to make strategic adjustments.
This shift from reactive management to proactive management is one of the greatest benefits of a data-driven transportation strategy.
Building a Data-Driven Transportation Culture
Technology alone does not create better decisions.
Organizations must also create a culture that values data.
This includes:
Establishing clear KPIs
Providing access to reliable information
Standardizing reporting processes
Encouraging data-based decision-making
Regularly reviewing performance metrics
When transportation teams trust their data, they can move more confidently and efficiently.
Conclusion
Transportation data is one of the most valuable assets available to modern shippers. Yet many organizations are only scratching the surface of what their data can reveal.
By focusing on key metrics, improving visibility, tracking carrier performance, and leveraging tools that centralize transportation information, shippers can make faster, smarter, and more profitable decisions.
The goal isn't simply to collect more data. It's to transform that data into actionable insights that improve service, reduce costs, and strengthen supply chain performance.
Companies that embrace data-driven transportation management today will be better positioned to navigate tomorrow's challenges.
Key Takeaways
Transportation data helps shippers make more informed decisions.
Tracking KPIs such as on-time delivery, freight spend, and detention time can uncover opportunities for improvement.
Data-driven carrier scorecards improve accountability and service levels.
Visibility extends far beyond shipment tracking and includes predictive insights.
Trailer tracking provides valuable information about asset utilization and operational efficiency.
Organizations that use data proactively can reduce costs and improve customer service.
A successful transportation strategy combines technology, visibility, and a culture of data-driven decision-making.
Frequently Asked Questions
Why is transportation data important for shippers?
Transportation data provides insights into performance, costs, service levels, and operational efficiency. It enables shippers to make informed decisions rather than relying on assumptions.
What transportation KPIs should shippers track?
Common KPIs include on-time pickup percentage, on-time delivery percentage, freight spend, transit times, detention time, carrier performance, and shipment exception rates.
How can data help reduce transportation costs?
Data can identify inefficient routes, excessive detention charges, underperforming carriers, and other cost drivers that may otherwise go unnoticed.
What is supply chain visibility?
Supply chain visibility is the ability to monitor and understand shipment status, transportation performance, and potential disruptions throughout the supply chain.
How does trailer tracking improve decision-making?
Trailer tracking provides real-time asset visibility, helping shippers improve equipment utilization, reduce dwell time, manage trailer pools more effectively, and improve operational efficiency.
What is the biggest challenge with transportation data?
For many organizations, the challenge is not collecting data but organizing and analyzing it in a way that creates actionable insights.
How can a TMS help with data-driven decision-making?
A Transportation Management System centralizes transportation information, automates reporting, improves visibility, and helps shippers identify trends that support better operational and strategic decisions.
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