GOAL: Enable the client to consistently prioritize the most profitable service calls by replacing manual, subjective decisioning with an automated, data-driven job scoring model that evaluates and ranks incoming work requests in real time.

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INSIGHT + ACTION: The Job Board Scoring ML Model analyzes incoming work requests across key variables — such as job type, location, technician availability, and historical profitability — to automatically compute and assign an objective score to each opportunity. Supported by these scores, dispatchers can act with confidence, routing and prioritizing calls based on data rather than intuition, reducing missed revenue opportunities and improving overall dispatch efficiency.

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BUSINESS OUTCOME: By shifting from manual decisioning to a scalable, cloud-based scoring model, the client drives higher revenue per call, improves dispatcher productivity, and ensures a consistent, repeatable process across all locations. The result is a more profitable service operation with the scalability to grow without adding operational complexity.