The role of big data analytics in transport and logistics companies

Data analytics has come up as one of the major developments that affect many industries such as the transport and logistics industry, by helping them to make informed decisions. This is because the transport and logistics industry has become more and more complex over the years. The changing dynamics of the global industry impact the profitability of the companies in this industry. Thus more and more trucking companies in Canada are looking to incorporate this particular feature into their work process. One such company is Ajit Transport Inc (ATI), which has been upgrading its technology to keep up with the latest trends.

The role of big data analytics in transport and logistics companies

In this blog, we will discuss the different ways in which big data analytics is positively impacting the logistics industry. These are as follows:

1.   Predicting supply and demand

By effectively tracking the available pool of data, transport and logistics companies can make predictions about supply and demand and hence improve the management of shipment and their timely delivery.

2.   Adapting to supplier risk

Any risk on the supplier side can be tracked and analyzed, and necessary arrangements for their mitigation can be taken up. Some of these risks are delayed shipments, delivery at the wrong location, wrong product or quantity of delivery, inefficiency of processes involved, and regulatory compliance issues.

3.   Optimization of routes

The optimization of routes is done for making transportation cheaper and quicker. Here historical data plays an important role in determining the best routes for traversal. Data such as weather conditions, road conditions, traffic, GPS data, fuel efficiency, time of travel, etc. are extensively analyzed for this purpose.

4.   Better handling of shipment

The nature of shipment plays a crucial role in determining the type of data required to handle it. For example, sensitive goods like chemical shipments require careful handling with safety precautions. Similarly, perishable items also require certain physical conditions and time duration within which they can be transported. Thus it is essential that these data should be tracked to monitor the status of the shipment and thus better handle them. This aspect is employed by ATI in its fleet of trailers service.

fleet of trailers services

5.   Better customer support

Customer support such as real-time data about shipments can make customers feel more satisfied with service delivery. Data analytics can play a crucial role in this regard by addressing the apprehensions of the customers timely. Similarly, feedback from customers can also help improve service delivery.

Considering the above points, it is very difficult for a trucking company to ignore the benefits that big data analytics can give to its customers. ATI was from the beginning convinced of these positive contributions and thus has employed them wherever necessary. Contact us today to deliver your shipment with these advanced features of ATI!

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Location: Québec City, QC, Canada

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