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Case Study

Food Manufacturer Achieves Unmatched Time-to-Value ​

The customer sought an IIoT edge-to-cloud solution that could rapidly collect and process edge data, especially video analytics in the cloud for centralized quality control. From analyzing quality metrics such as food color, digitizing process knowledge, to creating a digital archetype of the “perfect plant”, Litmus Edge and Litmus Edge Manager together provided an accelerated time-to-value for the customer.​

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Improved​ Yield + OEE​

Food & Beverage​

Fully Connected OT in Minutes​

1400 Employees

Edge Analytics for Quality Inspections​

Multiple sites in EU​

Company Snapshot​

A 150-year-old family-run enterprise and German food manufacturer with numerous processing and refining plants across the European Union.  

Challenges

  • Growth by acquisition led to siloed systems and tools.​
  • Lack of a standardized approach to Industrial IoT.​
  • Missing insights into quality and performance KPIs.

Outcomes + Benefits​

  • Standardized operations management with a no-code edge-to-cloud.​
  • Automated quality checks using a digital fingerprint of perfect operating parameters based on edge (video) analytics.​
  • Reduced operational cost using plant data against benchmarks.

Architecture

  • Litmus Edge for collecting edge analytics and Litmus Edge Manager for centralized management in AWS Cloud.

IIoT Success Stories

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