Data-driven Optimizations in Manufacturing

 

How a global manufacturer used Machine Learning to save
$millions in repair costs

 

Data-driven Optimizations in Manufacturing

 

Available On-Demand


Discover how we saved a global manufacturer $millions in repair costs and improved product quality with machine learning.

 

And how our custom-made, creative and clear data visualizations empowered technicians and executive teams to help make better
data-driven decisions.

 

Manufacturing Dashboards

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Register here

 

Meet the team delivering the webinar


 

Tessa

 



Tessa Jones

Director of Data Science

 

 

 


Tessa has 18 years’ experience in data science and 10 years’ experience in developing data solutions and applying them to business problems and challenges.

 

Tessa has previously worked with a number of manufacturers and has created data-centric solutions to improve their processes and reduce costs.

 

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Zack Mazzoncini
VP of Partnerships

 

 

 

 

Zack has over 10 years' experience in data analytics and data visualizations.

 

Zack is passionate about data storytelling and visualizations, and has worked with 100's of organizations to create data-driven cultures and data-driven decision making.   

 

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What to expect

 

"Our approach is creating high costs per unit, shipping delays and even worse, does not always prevent DOA and failure rate in the field.

 

We can’t expand our business until we solve this"

Executive, Global Technology Manufacture

 

In this webinar, experts from our data insights team, discuss how Calligo partnered with a leading manufacturer specialized in high-end computer boards, to create a bespoke machine learning solution that saved the organization $millions in repair and operating costs.

The problem:

  • 2% of daily production likely to be identified as faulty
  • Engineers would use gut instinct to replace components
  • Approx. $10M per annum of repair costs

 

The solution:

  • Use historic data and real-time product data with machine learning to make better decisions on component repairs
  • Constantly evolving machine learning models 
  • Continuous access to accurate, high-performing and quality outputs

 

The team will also demonstrate the hand-crafted dashboards, specifically created for the technicians and the executive team, and how they helped inform the team to make better decisions, reduce unnecessary repairs, and ultimately, save the organization millions.

 

 

 

Register here &
watch On-Demand

 

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Manufacturing Dashboards