Importance of Big Data Logistics

Alexia Smith

August 27, 2018
March 29, 2021
Last Updated

Information is the root of constructing an analysis that can provide us with both a view of our past performance and help us predict the future. Big data provides the information needed to make that analysis, and the fact that there are large quantities of it available to us makes the analysis increasingly accurate and realistic.

With such analytical power, big data is making fast inroads in industries, that despite generating massive volumes of data, remained largely fragmented. Logistics, having multiple functions and a rather sizable 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' needs. With input from a product’s inventory control stage to its safe delivery to customers and beyond, below is how a big data analysis system can help a logistic service improve 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 and involves many aspects. From planning shifts for vehicles and a labor force to route selection and address verification — big data is crucial at each and every stage.

For example and in terms of route selection, using the data received from previous and incoming shipments, the system can analyze which route will be a more cost-efficient option. This factors in any traffic situations, 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 can indicate times of peak requirements, traffic situations, staff availability, and more — allowing for more efficient operations planning.

Risk Aversions

A carriage business has numerous risk factors to deal with. This includes maintenance of delivery vehicles, weather conditions, product maintenance, and more. Predictive analysis, with the help of big data, can help avert these risks. For instance, it can alert you before it is time to provide maintenance to your vehicles so that you can avoid on-the-road malfunctions. It can also let you know ahead of time which vehicle you should use to deliver a particular product.

In addition, knowing peak hours and typical weather conditions on a route can help immensely when it comes to planning a shipment.

Market Anticipation

Data on where the market lies and what it requires is of extreme importance for a logistics business. This helps determine 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 a particular geographical location 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 of that for a business — and more.

Big Data and Dispatch

Dispatch incorporates big data analysis in its operations to ensure safe and fast delivery to customers. It helps us to constantly improve and remain your favorite industrial delivery service. With a few taps on your screen, you can order a same-day delivery or schedule something in advance. Whenever you need it, we’ll be there at your doorsteps ready to load and move!

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