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Importance of Big Data Logistics

Alexia Smith

August 27, 2018

Information is the root of constructing an analysis that not only provides us a view on our past performance, but also helps us in foreseeing the future. Big data provides the information we require in making that analysis, and the fact that it is in huge quantities makes the analysis increasingly accurate and realistic.

With such analytical power, big data is making fast inroads in industries that despite generating huge volumes of data, remained largely fragmented and didn’t use the collected information for improvement in operations. Logistics, having multiple functions and a huge scale of operations, is one such industry that has only recently started realizing the importance of it.

Dispatch’ takes pride in the fact that it has been practicing this method of data analysis since the company’s inception. We have used it over the years for self-improvement and for better facilitation of our customers. With input from the product’s inventory control stage to its safe delivery to customer and beyond, below is how a big data analysis system helps a logistic service in improving itself.

Better Operations Management
Operations is the fundamental aspect of a carriage business. This includes all things related to transporting a product from point A to B. This has many aspects involved, from planning shifts for your labor and vehicles to route selection and address verification; big data helps at each stage.

For example, in terms of route selection, using the data received from previous shipments and especially the incoming ones, the systems can analyze which route will be a more cost-efficient option. This factors in traffic situation, weather conditions, and maintaining a delivery sequence to select the most optimum option.

Similarly, in terms of planning shifts, a predictive analysis with the aid of previous data will tell about the times of peak requirements, traffic situations, staff availability, and more. This helps in planning operations more efficiently.

Risk Aversions
A carriage business has numerous risk factors to deal with. This includes maintenance of delivery vehicles, weather conditions, product maintenance, etc. A predictive analysis in this regard with the help of big data can help avert these risks. For instance, it can alert before it is time for maintenance of your vehicles so that you avoid on-road malfunctions. Similarly, it can inform about the requirements of what kind of vehicles should be used to deliver a particular product, so that their quality is maintained.
Busy hours and predictive weather conditions on a route also help immensely in planning a shipment.

Market Anticipation
A data on where the market lies and what it requires is of extreme importance for a logistics business. This helps in determining what customers require so that you can prepare your fleet accordingly. Not just the fleet, the fact that a business can predict what a customer may require in a certain season or at particular geographical locations also helps in setting up the entire chain.

This includes contacting suppliers in advance, preparing the fleet, and in certain cases, contacting the customers to tell them that you can ship a certain product. Big data analysis plays a key role in doing all that for a business, and more.

Big Data and Dispatch
Dispatch incorporates big data analysis in its operations to ensure the safe and fast delivery to customers. It helps us to constantly improve and remain your favorite industrial courier service. With a few taps on your screen, you can order a same-day delivery of your heavy products or schedule a delivery service for a future hour of need, and we’ll be there at your doorsteps ready to load and move!

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