Talk to us

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

Reduced

turnaround time for cooler repairs by 70%, cutting repair cycles from 10 days to 3 days

Improved

operational efficiency with real-time insights and proactive issue identification

Enhanced

revenue per cooler by 30% and customer satisfaction through higher cooler utilization