An integrated and AI-enabled proposition for all requirements across water distribution stages for clean and wastewater businesses.
The 'app' designed for energy providing companies allows a company to profile its customers based on their predicted consumption pattern for advanced and efficient energy consumption planning. It covers the entire customer journey from onboarding to consumption in order to forecast and monitor patterns.
The 鈥榓pp鈥� considers knowledge of the sun鈥檚 path, the atmospheric conditions and the characteristics of a solar energy plant which utilizes the sun鈥檚 energy to create solar power that is subsequently transformed to electric power. It thus predicts the solar power generation and forecasts the load for the next 24 hours.
The 鈥榓pp鈥� aims at calculating short term energy demand to predict the day-wise electrical energy usage till the next billing date and corresponding potential revenue at the overall business level. The 鈥榓pp鈥� helps energy producers negotiate contracts with financial entities or utilities that distribute generated energy.
The 鈥榓pp鈥� helps identify significant factors in mining processes that cause productivity loss and low throughput. It provides direction to influence the significant drivers to improve productivity. This helps in diagnosis and analysis of constraints and deviations, improved operational performance and efficient utilization of mining machines.
Situational Awareness, the 鈥榓pp鈥�, for water utility industry has been developed to help a company to improve its customer service, operational effectiveness and environmental performance. It provides a single screen view to recognize, visualize and act on events by drawing intelligent conclusions for the incident on how they relate to each other.
91快活林 Treatment Plant optimization 鈥榓pp鈥� offers a holistic 360 view of operations. It enables efficiency gains across sites, predicts and prevents water and air pollution incidents, enhances field productivity, optimizes site processes and chemicals usage, predicts faults within the treatment plant by leveraging suitable Artificial Intelligence (AI) predictive models, big data exploratory and analytics platform to correlate IT and OT data.
The 鈥榓pp鈥� helps understand the customer response to the services offered by a utilities provider and assesses the customers churning out as well as new customers rolling in. The solution helps to better plan and utilize resources to prevent churn, onboard new customers and consistently increase profitability.
Predicts which customer will experience a bill shock by receiving consumption data from digital meters/ billing cycles and cumulating the current consumption patterns for each customer over a year. Helps customers control their costs and manage their spend on water better.
