Food Industry Case Study

Reducing Quality & Waste Losses by 70%

With Automated Root Cause Analysis

About the company

Company size:  4,200 employees over 38 sites worldwide

Annual Turnover: €1.2 billion

Industry: Food & Beverage 

Focused on a baked goods production line in western Europe

Want to predict & prevent quality and waste production losses?

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The Challenge

Persistent quality & waste production losses

The company had identified significant process-driven
losses in quality and waste at their toasted bread line.
Problems contributing to these losses included:

  • Rejects due to weight – particularly net weight underweight
  • Burned or over-toasted bread
  • Size & shape variability

Manual investigations by their process experts – including
the use of an advanced self-serve analytics platform –
could not locate the root-cause of the problems. In most
cases where losses occurred, no clear process inefficiencies
were apparent, and the data tags they investigated
appeared to be operating within the permitted ranges.

The Solution

Identifying & preventing the hidden causes of production losses

Using the Seebo solution, the company’s process experts were able to identify the hidden causes of their production losses, and gain clear recommendations as to how to prevent those process inefficiencies. Furthermore, production teams received real-time alerts as soon as those inefficiencies were detected – enabling them to prevent losses before they occurred.

The Results


reduction in quality & waste losses


new insights learned about their process

~1 million

in savings on a single production line

The company achieved annual savings of nearly €1 million on this single production line by significantly reducing losses in quality and waste using the Seebo solution. Moreover their manufacturing teams learned 138 totally new insights about their process – enabling them to effectively understand and master their processes in the long-term.

For example, the rate of waste due to underweight was cut from 7.4% to just 3.2% – a vast improvement.
This also enabled the company to increase production capacity, by eliminating waste and optimizing their production processes.

Just as importantly, their manufacturing teams gained a far deeper understanding of their production processes. Seebo’s AI insights discovered no less than 138 new
insights about their production processes that their teams had not been aware of.

These insights were then turned into concrete metrics to measure important decisions against. This in turn greatly increased productivity, as process experts and engineers no longer had to spend countless hours discussing and investigating theories and engaging in guesswork.