Leverage ML and IoT to Reduce Cooler Repair Time by 70% for a Global Beverage Industry Leader – VentureSoft

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Data, Analytics & AI

Leverage ML and IoT to Reduce Cooler Repair Time by 70% for a Global Beverage Industry Leader

Challenge

A world-renowned beverage company, managing a vast network of coolers globally, faced operational challenges:

Struggled to reduce the time taken to repair and replace faulty cooler components
Needed to ensure optimal space utilization within coolers to enhance customer experience and product availability
Required a scalable solution to leverage IoT data for proactive maintenance and streamlined logistics

Solution

VentureSoft implemented a cutting-edge IoT and ML-based solution to transform cooler operations, including:

Streaming real-time IoT data into Azure Cloud to monitor cooler performance and detect anomalies.
Develop and deploy a predictive maintenance model using Azure ML Studio to predict or identify faulty parts proactively.
Leverage Databricks and Kubernetes to integrate and deliver seamless data workflows to downstream systems.
Generate actionable insights to optimize cooler space utilization and maintenance scheduling.

Outcome

VentureSoft specializes in data intelligence, cloud transformation, security, ERP, and application development, delivering innovative IT solutions to clients worldwide. We proudly serve over 300 clients, from startups to Fortune 500 companies, with a steadfast commitment to their growth and success. Our success is defined by the satisfaction of our clients, employees, and partners, fostering meaningful, enduring relationships that drive lasting impact.

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