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Big data is getting bigger. How is it going to help maritime industry?

With the spread of sensors and mobile devices, not only can a customer get uber-type tracking for their consignments but also the trucking companies can collect a range of data from engine performance, fuel consumption, tire wear-and-tear and even external data such as weather and traffic conditions. The data can process and computer algorithms can automatically manage route selection for the driver. The fleet operator will gain from better fleet optimization, thereby reducing cost while also ensuring on-time deliveries to customers.
A great example of this is when UPS used big data analytics to implement a policy where drivers should only turn left when absolutely necessary that saved them 40 million litres of fuel and increased deliveries by approximately 350,000 orders.
Similarly, for international shipping, data on congestion, strikes, weather conditions etc. enable carriers to provide accurate and predictive assessments of potential delays and disruptions to customers and adjust routes and capacity accordingly.
Today, with robotic package handling, sorting and automated forklifts and other warehouse equipment we are nearing the complete mechanization of smart warehouses. While tech companies such as Amazon led the way, now even regular manufacturing companies are starting to automate their warehouse operations. Warehouses offer rich operational metrics on storage and movement of parcels that can provide insight into efficiency gaps. Big Data analytics and tracking sensors can improve warehouse robotics, which can increase equipment life cycles (via preventive maintenance), accelerate product movement, optimize inventory management (through better predictive models), and also increase warehouse safety. Warehouse managers, using data analytics can make immediate operational decisions, resulting in seamless resource allocation, reduced costs and better warehouse throughput.
The world is of big data. India shouldn’t leave behind.

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