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About the client
The client is one of the largest engineering, procurement and construction (EPC) companies in the world, with a sizeable construction equipment fleet comprising more than 11,000 assets.
Background
The client wanted to gain insights about its assets to drive informed business decisions and improve the bottom line.
Challenges
The client wanted to increase its fleet’s productivity, reduce equipment downtime, improve capacity utilization and cut fuel costs. However, it lacked predictive and prescriptive analytics tools to turn raw data from each asset into actionable insights about the entire fleet. None of the assets were connected, which prohibited the aggregation of all the asset data into one platform. The client needed to:
- Gain visibility into the entire fleet to gauge performance and capacity utilization data
- Use data to right size the fleet and optimize fuel spend
- Decode the complexity of instrumenting 11,000+ assets—with 400+ makes and models and 40 different types
- Ensure that data from multiple systems and OEMs was aggregated into a single platform
- Maintain its assets
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