An AI-powered portal that instantly triages complaints in the power sector. It uses NLP to automatically identify the type of fault and determine its urgency level from public complaints, ensuring that emergency issues are prioritized and resolved first. In Pakistan, unannounced load shedding and technical faults such as transformer failures cause prolonged inconvenience for citizens. Due to manual processes at complaint centers (e.g., HESCO/K-Electric), emergency issues like broken electrical lines and routine load shedding complaints often get mixed, increasing the risk of serious incidents and delayed response to critical situations. Who will benefit from your solution?
Our solution will benefit both the general public and electricity distribution companies. Consumers will experience faster complaint resolution, improved safety, and reduced downtime during power failures. Utility companies such as HESCO, K-Electric, and other DISCOs will benefit from automated complaint classification, reduced manual workload, and more efficient prioritization of emergency cases. Ultimately, it improves service reliability and customer satisfaction across the power sector.
How Does AI Power Your Solution?
Our solution uses Artificial Intelligence and Natural Language Processing (NLP) to analyze and understand customer complaints in real time. The AI model automatically detects the type of issue (such as transformer failure, load shedding, or broken lines) and assigns an urgency level based on the severity of the complaint. This enables intelligent triaging of cases so that critical emergencies are prioritized and routed immediately to the relevant teams, reducing response time and improving operational efficiency.
Built With
- apis
- built-with-what-languages
- cloud-services
- databases
- frameworks
- or-other-technologies-did-you-use?-*-built-with-languages
- platforms
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