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 ‘app’ considers knowledge of the sun’s path, the atmospheric conditions and the characteristics of a solar energy plant which utilizes the sun’s 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 ‘app’ 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 ‘app’ helps energy producers negotiate contracts with financial entities or utilities that distribute generated energy.
The ‘app’ 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 ‘app’, 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.
Wipro Treatment Plant optimization ‘app’ 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 ‘app’ 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.