IoT fleet monitoring: Internet of things (IoT) devices and sensors make real-time fleet
monitoring commonplace, including in-transit visibility of driving conditions, routes, and assets. Companies can
lower their fuel and maintenance costs, as well as reduce delays and improve driver safety.
Digital assistants: Digital assistants are often called chatbots, and offer immediate,
conversational responses to shipment information, leading to higher customer satisfaction.
Adaptive intelligence and machine learning: By applying machine learning to historical
data and trends, transportation management systems are able to predict transit time more accurately, plan capacity,
identify at-risk shipments (such as goods that are about to expire and time- or temperature-sensitive products), and
much more. Enhanced artificial intelligence will also enable your TMS to provide more accurate and informed
recommendations, such as alternate delivery routes during high traffic periods.
Blockchain: Blockchains are now being utilized to build complex integrations among
shippers, customers, and carriers. Applications such as intelligent track and trace increase transparency and
traceability across your supply chain, but still ensure accurate and secure information.
Cold chain management: Another blockchain solution available in temperature-sensitive
systems is cold chain management, which is useful when different temperatures need to be maintained at
various checkpoints along the supply chain. For instance, perishable or temperature sensitive materials and products
might need to be kept at a cool temperature in the truck but at a slightly higher temperature on store shelves. With
cold chain management, the temperature can be monitored across the supply chain, with real-time information provided
to the business and the regulators at the country of origin.