You want a warehouse that thinks for itself? Here it is.

 

 

eCommerce is booming, and with the flood of new orders and same-day-delivery expectations, commissioning is becoming more and more challenging. Often eCommerce customers are experiencing high rework rates due to wrong picks, too few order lines per hour and increased staffing requirements especially challenging during peak times.

 

Work should be productive, and that includes logistics.

 

Today, most related tasks are still performed by people. That means, for example, warehouse staff constantly walking around the warehouse with items on shelves or trolleys in order to collect products. This “walking time”, of course, is lost working time. If this is how your business works, the bottom line is: you're slower, less efficient and less competitive. And that means less profitable. So there are many good reasons to do things differently.

 

Our solution:
Goods-to-Person, 
fully automatic

Your benefits:

  • Optimized warehouse operation and order picking
  • Faster processing and delivery times
  • Space saving storage
  • 24/7/365 days of dependable performance
  • Scalable system
  • Safe and ergonomic work environment

 

 

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System components

Grenzebach L600 Automated Guided Vehicle

  • Lifts up to 600 kg
  • Wireless emergency stop
  • Up to 100 AGVs in one plant
  • Various energy management strategies available

Goods carriers

Choose from our standard models of shelf racks and racks or ask for customized solutions.

Peripheral equipment

  • Picking Station
  • Pick-by-Light and Put-to-Light
  • Safety equipment and concept

Software

  • Fleet Manager Software for optimal transportation
  • Warehouse Execution System for maximum storage efficiency and throughput
  • SERICY IIoT-platform to control, monitor and optimize all of your processes
Case study

Goods-to-Person

Often eCommerce customers are experiencing high rework rates due to wrong picks, too few order lines per hour and increased staffing requirements especially challenging during peak times.

How we solve this challenge

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