https://store-images.s-microsoft.com/image/apps.26597.189cec8d-7ed4-4236-a859-029e33e87480.ab472a8f-06f0-4f4d-b929-34cff5dc092a.b9139cac-6cd7-4df8-aa8c-4e4d8690a808
Suspected Theft Prediction
por THE TATA POWER COMPANY LIMITED
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Possible theft alert in distribution
We offer a comprehensive predictive model utilizing AI/ML to identify suspected dishonest consumers engaged in energy theft. Our solution includes lead generation for site inspection, cost optimization, and prioritization of cases, ultimately reducing AT&C losses and improving billing efficiency.
Energy distribution companies, utility providers, and government agencies responsible for managing energy distribution networks benefit from this offer.
Customer Need/Pain Addressed:
- Efficient Detection: Energy providers struggle to detect and address energy theft efficiently, leading to revenue losses and increased operational costs.
- Cost Optimization: Traditional methods of site inspection incur high costs and often yield low hit rates, resulting in inefficient resource allocation.
- Revenue Protection: Identifying dishonest consumers and minimizing energy theft is crucial for maintaining revenue streams and ensuring fair billing for all customers.
- Operational Efficiency: By prioritizing cases and optimizing site inspection efforts using AI/ML models, energy providers can streamline operations and reduce losses effectively.
Visão geral
https://store-images.s-microsoft.com/image/apps.44415.189cec8d-7ed4-4236-a859-029e33e87480.ab472a8f-06f0-4f4d-b929-34cff5dc092a.346ed83e-bc6a-4d46-baff-c890f406e36a