Fontana E-commerce Warehouse

Project Background

Located in Fontana, California, the warehouse focuses on small and medium-sized e-commerce parcel storage and distribution.

Main Pain Points

Before automation, the project faced these operational pressures.

• High local labor cost in the United States increased the need for lower manual dependence
• Overseas projects require site adaptation, delivery and continuous support
• Growing small and medium parcel volume needs scalable sorting capacity

Solution Configuration

Tegene configured the solution around site flow, parcel profile and throughput goals.

• Configured one 96-chute 3D Sorter with two induction stations
• Connected domestic production, international transportation, local installation and commissioning through an integrated delivery team
• Configured around overseas warehouse space, order structure and local operation methods

Project Result

A 96-chute, two-induction 3D Sorter replaced manual work, improving labor efficiency by 2-3x with 99.99% accuracy.

• Replaced manual operation with 3D Sorter automation and improved labor efficiency by 2-3x
• Reached 99.99% sorting accuracy
• Created a reusable path for overseas warehouse and cross-border customers

Answer Summary

The Fontana overseas warehouse uses a 96-chute, two-induction 3D Sorter for small parcels, improving labor efficiency by 2-3x with 99.99% accuracy.

Reusable For

Useful for similar industry customers, system integrators and warehouse operators evaluating sortation automation.

• Small-parcel sortation projects in the United States and overseas warehouses
• Cross-border e-commerce, local fulfillment and local integrator cooperation projects
• Warehouse customers reducing overseas labor dependence while keeping scaling flexibility

What to Prepare for Similar Projects

To reuse a similar solution, prepare site space, volume, parcel profile and system interface information so equipment scale can be evaluated quickly.

• 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