How To Use TMS Data to Make Better Decisions in Trucking

In a modern and data-driven industry, trucking companies have access to a wealth of information and data that can be used to optimize operations, improve efficiency, and boost profits. A Transportation Management System (TMS) serves as a powerful data collection and analysis tool, providing valuable insights into everything from driver performance and vehicle maintenance to route optimization and customer satisfaction. However — the true value of a TMS lies not just in collecting data but in how you use TMS data to make better decisions in trucking.

Top 6 Ways Your Trucking Company Can Use TMS Data

A TMS is a treasure trove of data, collecting a wide range of information about your freight operations, from driver performance and vehicle maintenance to fuel consumption and customer satisfaction. But it's how you utilize that data that will make the difference for your company.  Just collecting data isn't enough — you need to analyze it, extract meaningful insights, and implement those insights to make data-informed decisions that drive growth.

Here are six key ways your trucking company can leverage TMS data to make better decisions:

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1. Efficient Use of Resources

TMS data provides insights into resource utilization, allowing you to identify areas where you can optimize resources and reduce waste. This includes tracking fuel consumption, monitoring vehicle idle time, and analyzing driver performance to identify areas for improvement across the board that can lead to reduced costs.

2. Find Inaccuracies and Inefficiencies in Operations

By analyzing available data and with a comprehensive view of operations provided by your TMS, you can identify inaccuracies and inefficiencies in your operations. This could include discrepancies in billing, delays in deliveries, or inconsistencies in driver performance. When you can pinpoint these issues, you can take corrective action and improve overall efficiency.

3. Use Predictive Analytics

TMS data can be used for predictive analytics, forecasting future trends, providing more accurate predictions, and revealing potential challenges you may face. This allows you to be more proactive in how you address issues, optimize operations, and make informed decisions about resource allocation.

4. Improve Customer and Carrier Relationships

Data provided by a TMS can help you improve relationships with both customers and carriers. By tracking on-time delivery rates, monitoring customer feedback, evaluating transportation capacities, and analyzing carrier performance, you can identify areas for improvement and build stronger relationships with everyone involved.

5. Eliminate Loading Dock Congestion

Scheduling data can be used to optimize loading dock operations and eliminate potential congestion. Data can be used to analyze arrival and departure times, track loading and unloading times, and coordinate schedules that will help your company improve efficiency and reduce delays at the loading dock.

6. Reduce Peaks and Valleys with Improved Planning

Historical TMS data enables better planning and forecasting, allowing you to anticipate fluctuations in demand and adjust your operations and asset allocation to reduce seasonal peaks and valleys. This helps you plan ahead for high or low capacity, adjust your workloads accordingly, and ensure consistent productivity and efficient use of resources.

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READ MORE: Top 5 Ways a TMS Reduces Cost-Per-Mile in Trucking

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Learn how to effectively use TMS data to make better decisions. Armed with this data and knowledge of how to implement it, trucking companies can make data-driven decisions that optimize operations, improve efficiency, and boost profits.

Contact TransPlus today for a demo of our TransPlus TMS platform and learn how we can help you harness the power of data in the trucking industry!

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