Big Data undoubtedly will re-define the world of Logistics. It will not be wrong to say that in this very competitive world, the big difference in the achievers and the others will be the power to manage, analyse and apply big data.

Data Analytics In Logistics

Data Analytics In Logistics-The onus for progress of a business in contemporary scenario, as we all know, is lying on the information adoption. Huge statistics exist in every sector while its analytics is frequenting the fascination and need of the world. Big data has been the key word for performance improvement and decision maker as defined in many Industries. Prevailing since a decade now, Big Data has ushered the world with its pervasiveness proving itself as a speedy and cost effective entity. Controlling the three V’s – Volume, Velocity and Variety, it has given impetus to the improvement of the Industry. There are enormous approaches where data has been adopted by its stakeholders but one domain that has boomed to infinitude with its application is the realm of Logistics.

Big Data Lake is a modern-day voluminous collection of facts that is floating across all the sectors. Big Data got its initial implementation in the carrier companies where this integrated data was efficiently tapped by extracting, transforming and loading information about the clients. In fact, the term has been promulgated by the e-commerce giants and forwarders like Amazon, which dwells on customer statistics. Every click of a customer online produces a data that is stored in these giant Lakes. The matter is then integrated to produce the desired result. It has not only expedited the process but has also assured customers with reliability on their consigners.


As per the report by NASSCOM and Blueocean, India is reigning big data analytics with a value of $1.2 million placing it among the top 10 big data analytics markets in the world. They have also anticipated the growth becoming eight-fold by 2025, soaring to $16 billion. With this vision in mind, every sector is now looking forward to Data analytics for its evolution.

Logistics being complex and dynamic natured Industry is outshining its competence with the adoption of Big Data. The technique with its advanced version is facilitating Logistics to improve its inefficiencies. Big data has helped to improve

Automate warehouses

Warehouses have now become mechanised with the use of robotic systems. The ease of finding a consignment in a warehouse has multiplied with the use of tracking sensors. Inventories have also been managed intelligently by taking advantage of RF tags, computer chips and other smart instruments.

Better route management

Optimisation of Logistics has been attained competently with better services from GPS data, weather data, and road maintenance data. It has assured less wastage of money by avoiding over usage of resources. Big data analytics also justifies the optimum use of vehicles and manpower on the same route by prior notification.  It has thereby reduced late shipments by managing the route flow.

Better manpower deployment 

Logistics, which requires more human resource functions better with the use of big data. The availability of adequate workforce at the foreseen time of haste has been helpful in handling odd situations especially with the client.

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Article Credit: BW

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