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Title

Cleanaway uses machine learning to optimize waste collection fleet routes

derived · high
…age key insights to improve decision-making across all aspects of the business. One of its first models in production was used to assess and optimize the most efficient daily routes possible for Cleanaway’s fleet of over 2,800 solid waste services collection vehicles. It is also able to achieve an aggregated view of each customer from across mult…

Description

Cleanaway, Australia's leading waste and recycling services provider, operationalized machine learning models using MLflow and Delta Lake on the Databricks Data + AI Platform to assess and optimize the most efficient daily routes for its fleet of over 2,800 solid waste collection vehicles, as part of demand forecasting, ESG and predictive maintenance use cases. The transformative results encouraged Cleanaway to expand route optimization across its entire 5,000-vehicle fleet.

derived · high
…tomated use cases for business intelligence in less than a year at lower costs. Cleanaway has operationalized its first advanced analytics and machine learning models using MLflow and Delta Lake together with Power BI to better analyze changes to business performance metric…
…f 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 finalize the foundation of its organization-w…

Company

Cleanaway

classification · high
…rity and Trust Ready to get started? Get a Demo Login Contact Us Try Databricks Customer Stories / Cleanaway CUSTOMER STORY Ensuring a smarter and cleaner Australia 2,800+ Waste collection…

Industry

Energy

classification · medium
…supporting the growth of the national circular economy. Share this post Details Industry : Energy , Industrials Cloud : Azure Product : Delta Lake Ready to get started? Try Databricks for fre…

Deployment model

Cloud

classification · high
…ional circular economy. Share this post Details Industry : Energy , Industrials Cloud : Azure Product : Delta Lake Ready to get started? Try Databricks for free Learn more a…

Problem

Cleanaway's diverse waste collection, sorting and logistics operations generated large volumes of operational and service data scattered across multiple disjointed systems (GPS, connected fleet, transactions, sales, marketing), and aggregating it was an inefficient, manual process compounded by inconsistent data quality and unreliable insights.

derived · high
…cluding waste collection, sorting, transporting, and planning of fleet routes — generated large volumes of operational and service data scattered across multiple sources, including GPS and connected fleet systems, and structured and unstructured data from customer transactions, sales, marketing and more. “Aggregating data sets from several systems was an inefficient and manual proce…

Solution

Cleanaway implemented a lakehouse architecture on the Databricks Data + AI Platform, operationalizing its first advanced analytics and machine learning models using MLflow and Delta Lake together with Power BI to assess and optimize the most efficient daily routes for its fleet of over 2,800 solid waste collection vehicles, as part of demand forecasting, ESG and predictive maintenance use cases.

derived · high
…tomated use cases for business intelligence in less than a year at lower costs. Cleanaway has operationalized its first advanced analytics and machine learning models using MLflow and Delta Lake together with Power BI to better analyze changes to business performance metric…

Technology

Delta Lake, MLflow, Power BI

classification · high
…tomated use cases for business intelligence in less than a year at lower costs. Cleanaway has operationalized its first advanced analytics and machine learning models using MLflow and Delta Lake together with Power BI to better analyze changes to business performance metrics and to leverage key i…

Use case type

Predictive operations

classification · high
…r analytics and machine learning use cases — from demand forecasting and ESG to predictive maintenance of waste management equipment. Leveraging the lakehouse for a net zero transition Cleanaway looked to the Dat…

Headline outcome

derived · high
…mer Stories / Cleanaway CUSTOMER STORY Ensuring a smarter and cleaner Australia 2,800+ Waste collection vehicles impacted by route optimizations Reducing the environmental impact of waste has become a top-line strategy for o…

Business value

Cleanaway rolled out modern, automated analytics and ML use cases in less than a year at lower cost, optimizing routes for a fleet of 2,800+ vehicles, and the results encouraged the company to expand route optimization across its entire 5,000-vehicle fleet.

derived · high
…technical support. Due to the ease and speed of deploying a lakehouse on Azure, the company was able to roll out modern, automated use cases for business intelligence in less than a year at lower costs. Cleanaway has operationalized its first advanced analytics and machine learning…

AI capabilities

Predictive Analytics

classification · high
…r analytics and machine learning use cases — from demand forecasting and ESG to predictive maintenance of waste management equipment. Leveraging the lakehouse for a net zero transition Cleanaway looked to the Dat…

Deployment options

cloud

classification · high
…ional circular economy. Share this post Details Industry : Energy , Industrials Cloud : Azure Product : Delta Lake Ready to get started? Try Databricks for free Learn more a…
Capture details
Captured
18 Sept 2026, 06:03 UTC
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fetch-strip@1
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b1feeae12c2be1c85f7602189008cd73496f074f2525618d4446692ad6eaa752