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Image processing: Automated reordering of empty shelf spaces

Image processing: Automated reordering of empty shelf spaces

Manually monitoring and reordering products on empty shelf spaces is time-consuming and error-prone.

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What we do

Our AI solution fully automates this process: It detects empty or emptying shelf spaces in real time, categorizes demand and automatically triggers reorders - directly integrated into your warehouse or merchandise management system.

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The advantages

  • Time saving: Automatic monitoring replaces manual checks.
  • Error reduction: Precise detection and reordering minimize stock problems.
  • Seamless integration: Simple connection to existing warehouse and merchandise management systems.
  • Flexibility: Suitable for retail, logistics centers and industrial warehousing.

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The technology behind it

Our solution is based on state-of-the-art AI and image processing technology:

  • Computer vision: detects empty shelf spaces in real time using images or videos
  • Machine Learning (ML): The AI is trained with existing data and scenarios to meet the specific requirements of your company.
  • Automated interfaces: Direct connection of the detection system to your ERP or warehouse management system.
Cases Image Processing

An example from practice

A retailer monitors hundreds of shelf locations every day. Our solution automates the entire process:

  • Cameras regularly record the shelf stocks.
  • The AI recognizes empty shelf spaces and automatically triggers reorders.
  • The staff approve the orders and are notified of any problems or exceptions.

This saves time, reduces errors and avoids lost sales due to missing items.

Conclusion

With our solution, you can automate your inventory management, increase efficiency and minimize errors - flexibly adaptable to your needs.

Curious about what we can do for you?

We look forward to hearing from you!

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