The changing nature of the economy and the growth of e-commerce are putting more strain on the supply chain. Customers expect fast deliveries from any corner of the world, and any unexpected delays can bring down the reputation of a business significantly.
Besides customer experience, shippers must deal with several logistical and regulatory issues to move their freight from origin to destination that costs both time and money.
A modern trucking management software can optimize supply chain and logistics processes through better route planning, predicting driver availability, and ensuring real-time collaboration between all logistics stakeholders for complete transparency across the supply chain.
But how do you choose the right trucking management solution for your business?
However, with so many choices in the market, shippers need to be sure about what they want from their trucking management platform before investing in one.
Here are five things shippers should look for in a trucking management platform.
Live Tracking and Tracing
Gartner cites ‘visibility’ as one of the biggest challenges in supply chain management. A modern trucking management platform can resolve this issue by empowering businesses with proper tools to track a vehicle’s location in real-time, monitor the productivity of drivers, provide real-time data to optimize delivery routes, and minimize chances of theft and pilferage.
At a time when driver shortages are real, especially in Europe, this single step can optimize your shipping capacity by eliminating any extra time spent on the road.
We agree that there isn’t much that a trucking management system can do if your truck is stuck in traffic. However, an advanced trucking management platform can help your delivery fleet avoid traffic congestions by constantly optimizing routes in real-time and efficiently plan a route by avoiding areas that have been responsible for delays in the past.
Advanced trucking management platforms leverage analytics to sieve through historical data and plan the most efficient and safest delivery route. Besides, such a platform can help you know the location of your shipment at any point in time, this significantly enhances the capability to take the right decision at the right time.
Machine Learning and Predictive Visibility
Lack of visibility of the delivery fleet has been a major problem that has plagued the logistics industry since long. Fortunately, advanced trucking management software powered by IoT and GPS-based technologies can empower shippers with real-time insight into their supply chain, helping them optimize their delivery routes by gaining predictive visibility and control over their fleet.
Powered by Machine Learning, a modern trucking management platform can analyze historical data to deliver critical business data and predict any issues that can mar your long-haul deliveries, including early detection of pilferage and theft.
A major challenge in the long haul transportation industry is the fragmentation of stakeholders, mainly because deliveries are outsourced to third-party logistics providers and the consequent lack of visibility and control.
An automated platform also ensures real-time collaboration between all logistics stakeholders so that the right information is passed on to the right person at the right time, eliminating any confusion or delays in information that is being passed on.
According to the 2018 Semi-Annual Global Cargo Theft Intelligence and Advisory Report, 82 percent of theft occurs in the truck modality compared to less than 7 percent by rail. Besides, 66 percent of theft happens while cargo is in-transit.
Unfortunately, strategized cargo theft is on the rise. Criminals are using the Internet to target high-value shipments and easy-to-sell merchandise, putting your cargo at high-risk during transit. To tide over this problem, Machine Learning capabilities of a trucking management platform can trigger alerts if your truck halts for more than a given duration at any location besides scouring through past data to intimate delivery managers about past incidents of theft in a particular area for optimized route planning.
As you can see, advanced logistic platforms can help you optimize your supply chain by improving visibility across the delivery process while also eliminating chances of theft, pilferage, and unnecessary delays through predictive intelligence based on modern technologies such as ML and IoT. Boost your business today with an advanced trucking management solution that can be customized to fit your business needs.
FarEye has helped 200+ customers in 20+ countries deliver exceptional operational excellence. To know how FarEye can empower you to boost your supply chain and logistics operations sign up for a quick demo here.
Transportation platforms powered by ML can execute a thorough analysis of historical data pertaining to route efficiency, fuel efficiency, productivity scores of a trucker, truck idling time and insights into customer feedback to help businesses accurately benchmark KPIs and consequently SLAs.
As you are possibly already aware, we have a major addition to the FarEye family with the Dipper acquisition. We have been getting a lot of warm responses and queries regarding the same and I thought it would make sense to share this with you personally about the hows, whys and some more details.
A Machine Learning-enabled TMS can ensure the safety of your cargo to a large extent by triggering alerts if your truck halts for more than a given duration at any location.