Logistics in 2017 will change a big deal. Here’s how...

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Logistics in 2017 will change a big deal. Here’s how... Two things are sure nowadays for a logistics manager: unpredictability of price and capacity, and multifaceted nature over the supply chain. Gone are the times of predictability and security: you could argue today's logistics manager must build up the additional ability sets of a stock market floor trader and supply chain chance manager with a specific end goal to keep freight moving globally.
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We had a brief conversation with Bhavik Chinai, CEO of Vamaship (world's first integrated logistics platform) on the upcoming trends in the Logistics sector.

“Going by the trend of 2016, where technology in logistics ruled the roost, the path for the industry ahead is also paved with greater innovation. The Indian government has taken up various initiatives to push for digital growth, and this will definitely help speed up customs clearance at all ports across India,” Bhavik quoted.

Here are a few logistics trends you can expect in 2017

Big Data

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With better instruments and more data accessible at various points in the supply chain, organizations can begin reducing the buffers that exist in their supply chain planning models. The outcome will be lower required repetition, less product in motion, and better management of delivery expectations.

Machines

Augmented reality (AR) accessed via smart glasses has surpassed anticipated levels of effect. So far for the most part embraced for request picking in logistics, smart glasses empower intelligent, handsfree operations. To begin with, productive deployments have conveyed promising results.

IoT

“The logistics industry will also be looking at mass adoption of IoT devices in trucking, which could be the next game-changer move for the industry,” said Bhavik.

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This innovation was principally used to empower machine-to-machine communication and enhance shipping efficiency. IoT is required to assume a bigger part in the future of logistics in 2017 and increase speed, reduce waste -- diminishing general costs. For instance-- recently launched Amazon Go.

Supply Chains

The mechanical scene for logistics and supply chains is evolving, quickly. Making sense out of Big Data and executing the learning would bring about an enormous extension for streamlining in the current supply chain processes of assembling, warehousing, and last-mile delivery. To keep pace, processes should be computerized, systems should be integrated, workers should have new resources, and managers should have a better sight.