Bin-to-person picking

Bin-to-person picking

Capable of handling material and cardboard boxes in a wide variety of sizes

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BangQi Technology's bin-to-person picking solution is based on a next-generation, box-type automated storage and retrieval system powered by bin robots. This innovative system fully leverages the warehouse's vertical space to significantly expand storage capacity, while seamlessly maintaining the high efficiency characteristic of box-based picking. It stands out as a versatile picking solution that perfectly balances high storage density, exceptional operational efficiency, and unbeatable cost-effectiveness.

Key Highlights

Capable of handling material and cardboard boxes in a wide variety of sizes

Significantly enhance storage density

Efficient Multi-Scenario Operations

Customer Case

A globally renowned e-commerce company's Southeast Asia warehouse project

A globally renowned e-commerce company's Southeast Asia warehouse project

Customer pain point: Significant delays in order picking during surge periods, making it impossible to fulfill same-day shipping.

Solution: An AI algorithm based on order priority dynamically schedules robots to move the highest-demand SKUs to workstations.

Results achieved: Daily order-picking capacity increased threefold, and on-time order fulfillment rate improved from 70% to over 98%.

A smart warehouse belonging to a well-known 3C electronics manufacturer

A smart warehouse belonging to a well-known 3C electronics manufacturer

Customer pain point: A wide variety of SKUs and high order frequency lead to frequent errors in manual picking.

Solution: Deploy 100 stealth robots and equip them with 8 flexible workstations.

Results achieved: Picking efficiency increased by 100%, labor costs were reduced by 60%, and picking accuracy improved from the original 95% to 99.98%.

Focusing on AI-driven smart manufacturing, empowering intelligent production across the globe.

Contact Bangqi Technology experts to help you enhance your factory's operational efficiency.

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