Databricks
Case Studies
Cleanaway's Transformation: Leveraging IoT for a Smarter and Cleaner Australia
Overview
Cleanaway's Transformation: Leveraging IoT for a Smarter and Cleaner AustraliaDatabricks |
Analytics & Modeling - Machine Learning Sensors - GPS | |
Recycling & Waste Management Utilities | |
Maintenance Sales & Marketing | |
Fleet Management Predictive Maintenance | |
Data Science Services | |
Operational Impact
The implementation of the Databricks Lakehouse has transformed Cleanaway's operations, eliminating the silos that traditionally separated and complicated data engineering, analytics, and machine learning. This shift has not only accelerated its time to insights and ability to innovate but also boosted efficiencies and profitability in less than a year after it implemented analytical and machine learning capabilities built on Databricks Lakehouse. The transformative impact of operationalizing advanced AI models for its fleet management systems has also encouraged Cleanaway to expand its route optimization abilities across its entire fleet of 5,000 vehicles. Looking ahead, Cleanaway plans to extend the implementation of Databricks Lakehouse in every aspect of the business, transforming the company toward being truly data and AI driven by 2030. | |
Quantitative Benefit
Cleanaway was able to roll out modern, automated use cases for business intelligence in less than a year at lower costs. | |
One of the first models in production optimized the most efficient daily routes for Cleanaway’s fleet of over 2,800 solid waste services collection vehicles. | |
Cleanaway was able to achieve an aggregated view of each customer from across multiple systems, enhancing its ability to respond to customer demands and highlight new growth opportunities. | |