Our Work with

Watts Water Technologies

Client:Watts Water Technologies
Services Provided:Cloud Transformation, Data & AI, Modern Application Development
Industry:Utilities & Energy
Revenue: $2 Billion

Engagement Overview

MILL5 partnered with Watts Water Technologies to apply AI and machine learning to sensor-driven water infrastructure, enabling predictive maintenance, proactive service operations, and smarter field technician scheduling to reduce disruptions and improve operational efficiency.

Challenges

Watts Water Technologies, Inc. is a global leader in water quality solutions, designing and manufacturing products for plumbing, heating, and water conservation applications, with $2 billion in annual revenue. Watts Water Technologies faced several operational and analytical challenges that limited its ability to proactively monitor equipment health and efficiently manage field service operations.

  • Limited visibility into early signs of wear, pressure fluctuations, and potential failures in backflow devices
  • Reactive maintenance approach leading to unplanned service interruptions and increased operational risk
  • Difficulty analyzing large volumes of real-time and historical sensor data at scale
  • Inefficient field technician scheduling that did not account for issue priority, availability, or geographic proximity
  • Need to improve response times while optimizing workforce utilization

Results

  • Developed machine learning models to continuously monitor sensor data from backflow devices, detecting early indicators of wear, pressure anomalies, and potential failures
  • Implemented an AI-driven predictive maintenance solution that analyzes real-time and historical data to anticipate equipment failures before they occur
  • Enabled proactive, scheduled maintenance to minimize service interruptions and reduce water system disruptions
  • Built an AI-powered scheduling system that dynamically assigns field technicians based on issue severity, technician availability, and geographic location
  • Optimized response times and improved workforce efficiency across field service operations
  • Delivered a scalable, data-driven solution that enhanced reliability, reduced operational risk, and improved overall customer outcomes

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