Energy and Utilities

Customers often need clarification over complex energy and utility bills, and the lack of responses to queries by energy companies multiplies the issue. Our AI-first digital customer experience uses the Natural Language Processing (NLP) technique in customer communication with virtual assistants, simplifying customer query response. ML guides companies with better customer segmentation and insights for better resource and energy usage to improve customer experience and reduce service costs.

Benefits: Improves customer experience and reduces customer service costs. This helps achieve sustainability.

Businesses face delays in maintenance and repair work for underground pipes due to lengthy assessments and manual inspection of video data. Our AI-based platform employs ML-ANN methods to determine the condition and location of pipes to help speed up the process.
Benefits: Reduces internal costs by 33% and task time required to review procedures by 75%. It also increases review accuracy by 15%.

Renewable energy producers require energy forecasting systems to improve their OPEX and predictive maintenance and increase efficiency. Our AI-based solution employs advanced algorithms that analyze satellite and plant data for more accurate forecasting that meets regulatory requirements. Advanced algorithms also track module degradation and soiling loss across the plant portfolio, and predictive maintenance helps lower operating costs and time.

Benefits: It improves power generation based on real-time conditions, identifies performance issues across portfolios, and provides performance ratios.