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Now Robots Are Coming After India’s Low-Wage Jobs

As online retailers turn to machines, a chunk of unskilled jobs could become redundant.

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Butler, a stubby, orange robot, crawls along the aisles to fetch everything from smartphones to shampoos from warehouse shelves. It takes an hour to do what an average worker does in five. Its cousin Sorter, a smart conveyor belt, arranges parcels by weight, size and delivery location at least four times quicker than humans.

Built by India’s largest warehouse robotics startup GreyOrange, they help online retailers and logistics firms cut delivery time and costs, central to the fight for supremacy in this nation’s booming e-commerce market. The startup, which operates from Gurugram and Singapore, counts the country’s biggest e-tailer Flipkart, furniture portal Pepperfry and courier service providers DTDC and Delhivery among its clients.

“With the help of these robots, an order can be picked from the warehouse and dispatched in 20 minutes,” said Akash Gupta, co-founder and chief technology officer of GreyOrange. The robots are already sorting about 1.2 crore packets a month, he said. Butler and Sorter could even replace 60-80 percent of warehouse workforce, according to a GreyOrange presentation.

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That robots are gaining ground in a land of abundant cheap labour shows just how dramatic the disruption to human work could become in the very near future.

A warehouse worker here earns Rs 10,000 a month on an average (about $8 a day). As online retailers turn to machines to manage a growing volume of orders, a chunk of such unskilled jobs could become redundant. More so when homegrown e-tailers like Flipkart – still the nation's biggest e-commerce site backed by SoftBank Group Corp, Tiger Global and Tencent Holdings – battle Seattle-based giant Amazon, which triggered an automation war in the US by acquiring Kiva Systems for $775 million in 2012.

“The kind of jobs we used to see in warehouses four, five years back are not going to be there in the coming two to three years,” Satish Mena, an analyst at Forrester Research India Pvt, told BloombergQuint. He added:

The pace of job creation in these warehouses is slowing down. The scale e-commerce companies are looking at, and the order volume they are getting, they need robots and humans to work side by side.

The advisory firm expects India’s online commerce to be a $64-billion market in four years, clocking a five-year compounded annual growth rate of 31.2 percent.

Amazon and Flipkart opened nearly a quarter of their 71 warehouses in the last one year. Having lured customers with discounts, they are dealing with demanding buyers in a competitive market. The focus has shifted to same-day deliveries and easy returns, to win customer loyalty.

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With automation, the number of jobs per warehouse may not increase or could decrease as companies become more efficient, said Arvind Singhal, chairman of Technopak Advisors Pvt Ltd, a retail consulting firm. “Yet, as the e-commerce industry grows, the likes of Flipkart and Amazon will require more distribution centres and will require more people to manage them.”

Flipkart, Pepperfry and Delhivery didn't respond to BloombergQuint’s queries and Amazon said it doesn't use robotics in India but has an automated conveyor system at two of its largest warehouses.

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GreyOrange said it has shipped the robots to logistics companies globally, from Chile and Brazil to Singapore and Hong Kong.

Having raised $35 million from the likes of Tiger Global Management and Blume Ventures, it runs eight offices in five countries and employs more than 650 people. The company declined to share revenues.

Courier service DTDC Express Ltd, which serves more than 11,000 locations, has been using the GreyOrange Sorter for three years now. It used to take six to seven hours to push a parcel out of its hub. The time has come down to 90 minutes after installing the sorter, said Abhishek Chakraborty, executive director at DTDC Express. He said:

It reduced the number of human touch-points that came in the journey of the parcel. The speed went up and the number of errors came down.

(This article was first published in BloombergQuint.)

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