From reactive service calls to predictive maintenance scheduling.
A leading air conditioning brand running Service Cloud, whose service predictability and technician planning still struggled during high-demand seasons.
reduction in unplanned breakdowns
What wasn't working.
Even with Service Cloud deployed, service stayed reactive: emergency visits, escalations, and SLA penalties piled up in peak season, and the business had no way to forecast which units were about to fail.
What we built.
Failure prediction engine
A model synthesizing unit age, usage intensity, repair history, and environmental data to score failure probability.
Preventive case triggers
Prediction scores flow back into Service Cloud, automatically triggering preventive cases.
Agent guidance
Agentforce recommends next actions to service agents based on the prediction.
Capacity planning dashboards
CRM Analytics dashboards for technician scheduling and revenue planning.
Built with.
What powered this build.
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