Digitalization in the Food Industry

You produce food in large quantities, under strict guidelines with little room for error.

Nevertheless, quality control is often still performed manually, traceability relies on Excel and paper, and data from production facilities, laboratories, and inventory management systems are stored in separate systems.

soxes develops software that closes exactly these gaps. For the Emmi Group, we have automated quality control in yogurt production using artificial intelligence, directly on the production line.

Our experience and expertise in the food industry

Food is produced at high speeds, in large quantities ,and under strict guidelines. The typical requirements we consistently address in the industry include:

  1. Real-time quality assurance.
    Manual inspection at the end of the line is slow and error-prone when throughput is high. Errors must be detected while the product is still in production.
  2. Traceability and batch management.
    Which batch, which ingredients, which production line. In the event of a recall, what matters is how quickly and accurately you can verify this information.
  3. Declaration and allergens.
    Varieties, ingredients, and allergens must be listed correctly and consistently on the product. An error here is a legal risk, not a mere oversight.
  4. Audits and documentation.
    HACCP, IFS, and BRC require complete, traceable records instead of scattered Excel spreadsheets.

Quality Control Using Artificial Intelligence

  • Quality Control Using Artificial Intelligence
  • Manual checks replaced by AI!

  • 1 Project Overview

    The Emmi Group is one of the world's leading manufacturers of dairy products and operates facilities ranging from small-scale operations to state-of-the-art production plants. To ensure quality in yogurt production, soxes has developed a solution that automatically detects defects.

  • 2 Challenge

    At the end of the yogurt production process, it is essential to ensure that each cup has the correct lid. The lid bears information about the variety, contents, and shelf life. A purely manual inspection is too slow when production volumes are high and is likely to miss errors.

  • 3 Solution

    soxes developed an AI prototype for automatic defect detection. A camera at the end of the line takes a picture of each cup. A Python application compares the image with the product data using Microsoft Custom Vision, an image recognition service on Azure, and checks whether the correct lid was used. If something is wrong, the camera immediately reports the discrepancy.

  • 4 Result

    Thanks to agile collaboration, a working solution was in place in just six weeks. The checks that previously had to be performed by people are now reliably handled by the software.

Specific applications in food production

Off-the-shelf solutions rarely fully address the specific requirements of food production. A customized solution addresses precisely where quality, safety, and traceability requirements intersect:

Automated Quality Control
Image recognition detects defects in packaging, labels, or products directly on the production line, as demonstrated in the Emmi project.

Traceability and Batch Management
Every batch is traceable from raw material to finished product, saving time and reducing risk in the event of a recall.

Production Planning
Quantities, equipment, and shelf life are planned to minimize waste and downtime.

Declaration and Recipe Management
Ingredients, allergens, and labeling remain consistent and are managed centrally rather than spread across multiple documents.

Integration with Equipment and ERP
Machines, sensors, and inventory management are connected via interfaces, eliminating the need for duplicate data entry.

Frequently asked questions

  • What kind of software does the food industry need?

  • How does food traceability work with software?

  • What does HACCP software do?

  • What is the purpose of recipe management in food production?

  • Is it worth investing in custom software instead of a standard solution in the food industry?

  • Can artificial intelligence take over quality control in production?

Avoid mistakes with digitalization!

You ensure that your products reach the market safely and in perfect condition.

During a free initial consultation, our experts will show you how to automate quality control, traceability, and documentation in your production process using customized software.

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Contact

Do you have any questions? Would you like to find out more about our services?
We look forward to your enquiry.

Sofia Steninger

Sofia Steninger
Solution Sales Manager