Machine Learning in Manufacturing

We are hosting a webinar to talk about ML in Manufacturing on Oct 23rd. REGISTER HERE. 


Machine Learning in Manufacturing 

What are the processes in place right now that are causing you to rethink strategy? As a large manufacturer you are constantly dealing with the assembly timeline, the different suppliers and satisfying customers when there is a fault in the product. How do you collect from suppliers when their parts cause a warranty claim? If you have a process how well are you leveraging that capability? Pariveda has developed a Machine Learning approach to predict claims that are supplier-at-fault, which could help you recover millions. Read below how we helped a client find a potential recovery amount over $7M. 

Managing Warranty Claims With Benefit Back to You

When this heavy equipment manufacturer gets a warranty claim, often a part supplier is at fault, and some contracts allow them to recover money from the supplier. Today, this manufacturer recovers money on  only 3% of claims. It is estimated that 12-13% of claims could be recoverable, amounting to a reduction in warranty liability in the $10M range. 

Pariveda worked with this manufacturing company to develop a cloud-based solution using a Machine Learning model to predict which claims will be accepted by suppliers, and to mark these claims for submission. The model was trained using the set of claims that had been submitted to suppliers based on the existing process using a fully automated platform to enable retraining, ensuring that the model keeps up with current trends. Model execution is also fully automated, running daily over the claims that have been submitted. The Databricks Apache Spark™ platform was used for data engineering, with model training and execution built on Amazon SageMaker using the platform’s built in XGBoost algorithm. 

In initial back-testing of  warranty claims submitted during 2018, the model predicted that over $13M of claims that were not submitted to suppliers would have been accepted, with a potential recovery amount of over $7M.

Pariveda's ML Methodology 

Our overarching principle in our AI/ML engagements is to help our clients build a sustainable AI/ML capability through a holistic view of the people, process, and technology required to support that capability. We partner with Amazon Web Services to leverage the latest technology and provide value. 


Let us know how we can help your processes and reach out to set up a workshop to see it in action. Email us at