Why TMS Analytics are Crucial to Commercial Trucking | GTG Technology Group

Why TMS Analytics are Crucial to Commercial Trucking

Four Reasons Commercial Trucking Needs Reliable Analytics

Transportation management systems (TMSs) have reshaped the commercial trucking industry in recent years. Using smart technology, trucking companies can monitor all aspects of their operations at any time – driver behavior, truck conditions, fuel economy, and much more. TMSs give fleet managers a means to observe operations in real time, collect big data, and analyze it to optimize performance, productivity, and safety. Commercial trucking has come to rely on TMSs for day-to-day operations and improving the big picture.

Prevent Trucking Accidents

One of the most incredible ways big data from transportation management systems has improved the commercial trucking industry is with trucking accident prevention. Telematics can collect driver behavior data, including speeding, hard braking, and the driver’s schedule, and accurately predict accidents. Using asset sensors, video reels from multiple cameras, and driver sensor data, TMS companies are creating algorithms that can interpret the data and predict accidents.

For example, a company called SmartDrive Systems was able to determine new crash data using analytics. The company discovered that turning further than 165 degrees in a time window and radius was too risky a U-turn on a roadway. TMS can potentially predict accidents in real-time, sending the information to fleet managers in seconds and possibly preventing a crash. After-the-fact analytics are also helpful to optimize safety in the future, helping trucking companies improve driver-training practices. Crash prevention is an optimistic goal of companies like SmartDrive. TMS analytics bring us a step closer to making this dream a reality.

Improve Customer Service

Big data and TMS analytics can alert a fleet manager to problems occurring within a fleet or specific vehicle. This data can help a fleet manager understand the issue and better answer customer questions and complaints. Big data enables trucking companies to solve customer problems and respond to needs in a timely manner, using real-time information about drivers and the location of cargo. Companies can make their efforts scalable, adapting to customer needs on a daily or annual basis. Improved customer service can help boost at trucking company’s reputation and profitability.

Cut Operational Costs

Businesses have used data to make operations more efficient for years. Today, however, fleet managers are better equipped than ever to cut operational costs and maximize productivity. With advanced software and TMS analytic capabilities, trucking companies no longer need big data experts on their IT teams to decipher information. Instead, they can analyze big data more quickly and easily, eliminating unnecessary costs and solving issues right away.

Make Your Company More Efficient

Thanks to TMS analytics, trucking companies and fleet managers can collect driver data such as routes and schedules, and come up with more-dynamic approaches to delivering goods. Understanding and creating flexible local networks can enable a company to maximize efficiency and save driving time, lowering costs and wasted hours. Driver performance benchmarking is also possible, encouraging truckers to be more productive, safer, and more efficient during working hours.

TMS analytics is an all-around solution with myriad ways to improve operations. From fleet managers to customers, TMS impacts everyone. As this technology continues to grow, expect it to become an indispensable tool in the commercial trucking industry.

Sources:

http://www.truckinginfo.com/article/story/2014/12/big-data-tracking.aspx http://www.strategyand.pwc.com/trends/2016-commercial-transportation-trends http://www.forbes.com/sites/stevebanker/2016/10/18/using-big-data-and-predictive-analytics-to-predict-which-truck-drivers-will-have-an-accident/#15009e1fd4eb http://www.ibmbigdatahub.com/blog/telematics-trucking

 

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