Robotics & Automation News

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Geek+ smart warehouses break Single’s Day record with 8 million orders delivered in 72 hours

Geek+ says it implemented and completed large-scale scheduling of more than 4,000 robots in its smart warehouses during this year’s 11.11 Singles’ Day shopping festival.

China’s largest smart warehouse network processed a record 8 million orders in 72 hours.

Geek+ says “the successful deployment is a fantastic validation of the strength of the robotics-as-a-service business model” and the flexibility and efficiency of smart warehouses during periods of peak orders, including the ultimate challenge of the world’s largest shopping festival.

In under 72 hours, Geek+ smart warehouses completed all 11.11 orders and shipped a total of 8.11 million orders, up 62 percent year on year, with a 48-hour delivery rate of 86 percent, nearly double that of manual third-party logistics warehouses.

The 4,000 robots had a total mileage of more than 1.5 million kilometers.

Geek+ claims to be the first company in the industry to offer comprehensive commercial smart warehouses solutions, integrating its robots into the supply chains for more than 100 brands in China.

Geek+ says its “Cloud Brain”, the company’s proprietary software system, was a key component to the success.

The peak capacity of the entire system for order taking, processing, single-point feedback, pre-processing and interface feedback processing reached 200,000 single orders per minute.

The system operated smoothly, with zero interruption and zero accidents. It successfully seized the biggest order flood peak so far.

Yong Zheng, founder and CEO of Geek+, says: “We are extremely proud that our solution can help hundreds of brands successfully navigate peak order seasons. With RaaS, we make smart warehousing accessible to businesses of all sizes.”

Under the robotics-as-a-service (RaaS) business model, Geek+ operates over 300,000 square meters of warehouses, and has created a shared network of thousands of robots.

The RaaS model helps customers effectively reduce initial investment and lower the entry threshold, while improving the efficiency of robot use and reducing overall operating costs.

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