Cold Chain
Beijing Cold-chain Warehouse
A 48-chute, two-induction 3D Sorter M delivers 2,800 pcs/h with 99.99% accuracy in 30 sqm and was deployed in 7 days.

Project Background
Manual sorting could not keep up with cold-chain food storage, transportation and distribution volume growth.
Main Pain Points
Before automation, the project faced these operational pressures.
- The original electronic seeding wall relied on manual sorting and had low efficiency
- Multiple seeding walls occupied valuable packing area
- Manual sorting errors created complaint risk and staff training cost
Solution Configuration
Tegene configured the solution around site flow, parcel profile and throughput goals.
- Configured a 48-chute 3D Sorter M with two induction stations
- Used a compact deployment around cold-chain storage, transportation and distribution flow
- Reduced manual walking paths and mis-sort risk with automated sorting
Project Result
A 48-chute, two-induction 3D Sorter M delivers 2,800 pcs/h with 99.99% accuracy in 30 sqm and was deployed in 7 days.
- Reached 2,800 pcs/h with 99.99% sorting accuracy
- Occupied about 30 sqm and saved significant equipment floor space after old equipment removal
- Completed deployment in 7 days
- Helped operations handle Double 11 and Double 12 promotions while saving 2-3 people
Project Results
The Beijing cold-chain warehouse uses a 48-chute, two-induction 3D Sorter M to reach 2,800 pcs/h with 99.99% accuracy in about 30 sqm and 7-day deployment.
Who This Fits
Useful for similar industry customers, system integrators and warehouse operators evaluating sortation automation.
- Cold-chain food storage, transportation and distribution scenarios
- Warehouses where electronic seeding walls occupy too much area and manual sorting is inefficient
- Customers needing compact deployment, fast go-live and lower mis-sort risk
Getting Started on a Similar Project
If this project looks like yours, having site space, volume, parcel profile and system interface details ready makes it much faster to size the equipment.
- Warehouse area, available equipment zone, height, aisles and checking or packing area
- Average volume, peak volume, order waves, main destinations and growth expectation
- Parcel size, weight range, barcode/RFID recognition and induction mode
- WMS/MES, conveyors, custom automation and local integrator cooperation boundaries
Next Step
Turn this scenario into a deployable plan
Tell us your site size, parcel mix, peak volume and target market — we’ll respond with a specific configuration and deployment plan.
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