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Use Case
Beverage Industry

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Header Texture Background
Bottling Case Study Image

Industry/ Bottling

Functionalities
#digital-twin #process-optimization #batch-tracking#quality-optimization

Root Cause Analysis and Batch Tracking for Bottling Industry

A leading producer of beers and other non-alcoholic beverages aimed to easily identify the root cause of quality issues in specific batches and track their potential impact on other batches. Additionally, they sought to use this batch tracking to optimize recipes, manage the natural variability in raw material properties, and achieve consistent product quality.

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Challenge

In the bottling industry, ensuring consistent quality across all batches is a top priority. The main challenge lies in identifying the root cause of quality issues in specific batches and identifying which other batches could potentially be impacted by the same issue. This process is rooted in the natural variability in raw materials. Companies need precise adjustments to maintain stable product quality and operational efficiency.

Wizata was selected as a partner to optimize their production process through a data-driven recommendation system:

Batch Root Cause Analysis 

Developed an advanced analytics model to trace the origin of quality issues in specific batches by linking raw materials and production batches. This system also provides insights into how such issues might affect subsequent batches or different products in which the same raw material was used, enabling quicker corrective actions.

Real-Time Quality Optimization

Implemented a dynamic process optimization tool to adjust production parameters in real time, ensuring consistent quality despite raw material variability. This approach reduces waste and minimizes downtime, while maintaining the desired product characteristics.


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Approach

Wizata and the local experts wor­ked closely to ensure that the project generated measurable ROI and business impact.

The following activities were per­formed:

Set up of Wizata platform, hosted within customers’ Azure tenant

Ingest and contextualize process, recipe, raw material and the end product data.

Design and build a Batch Tracking System

Use an specific ML models of the platform and produce real-time recommendations

Build customized dashboards for relevant stakeholders

Case Study Approach

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Outcome

The implementation brought measurable improvements across critical aspects of the producer's operations:

Enhanced Batch Traceability. The advanced analytics model enabled precise identification of the root causes of quality issues within specific batches and their impact on others. This level of traceability improved decision-making, and minimized waste.

Scalable and Centralized Model Management. The models are centrally managed within the Wizata platform, enabling updates across all products without high maintenance costs.

Use Case  Result Bottling Wizata Impact
Wizata - Phillipe

  Get in touch with one of our experts

Philippe Maes

pma@wizata.com
+32 476 209 149

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