Industry Challenges
Manufacturing processes consume a significant amount of energy, of which approximately 30% is wasted every year and this accounts for a substantial portion of production costs. There can be several factors responsible for this wastage such as outdated equipment, inefficient lighting, leaky air compressors, and inadequately utilized heating/cooling. Energy wastage coupled with fluctuations in demand negatively impacts an organization’s bottom-line and sustainability goals. Can implementing AI in energy management prove effective here? Read how AI-powered Energy Management Services Program helps in improving energy efficiency.
ThinkDigits Solutions
To address these challenges, ThinkDigits offers solutions for better energy management solutions that offer advanced connectivity of devices, services, and systems to gain business insights with analytics.
Forecast production and demand to predict spikes and avoid idle time
Streamline value chain processes to reduce costs
Monitor, predict and reduce carbon emissions by providing detailed insights into every aspect of the production process and thereby meet sustainability goals
Real-time optimizers to monitor efficiency of assets and equipment to improve system dependability
Key Challenges & ThinkDigits Energy Management Solutions
Solution
As an energy management company, our AI-driven data provides real-time insights and recommendations to identify the best approach to minimize costs and decrease carbon emissions
Solution
Reduce complex mesh of data into user friendly simple metrics to allow better analysis and resolve problems as they arise.
Solution
Machine learning enabled automation of measuring KPIs to accurately track sustainability and cost reduction goals and enable effective reporting thus improving reliability.
Solution
Real-time insights to track condition of assets and equipment to detect causes for idle time
Core Capabilities
Deploying AI-derived data to reduce energy use and improve productivity and yield through a more proactive and predictive approach by a leader among AI energy companies to enable better decision making.
AI-Driven Real-time Insights to Improve Operational Efficiency
AI-Driven Real-time Insights to Improve Operational Efficiency
- AI can identify main factors responsible for higher carbon emissions and costs
- Predictive analytics ensures energy spikes are managed effectively in order to reduce costs
- Prescriptive measures based on AI-driven data, such as those provided by an energy management company like ThinkDigits, enable better energy conservation
- Monitor important KPIs such as energy, water, waste, etc., in real-time to improve efficiency
- Allows the enterprise’s processes to be benchmarked against peers after a successful implementation of energy management services
FAQ’s
1. Is the cost of energy management software going to outweigh the cost of energy savings?
No, in fact we will inform you of Grants, Efficiency Credits, and other Incentives to ensure there is a positive Return On Investment within 12 months or less.
2. Does energy management software have the capability to change the operating state of my assets?
Yes, but this is not a requirement for the software to be deployed and energy saved. Enabling intelligent equipment optimization has the largest potential to reduce energy consumption but is generally reserved for advanced stages of deployment after the baseline capability to monitor equipment and provide useful insights has been proven.
3. Will your energy management software help me receive grant funding for decarbonization?
ThinkDigits’s energy management application can point to the “low hanging fruit” for optimization and will generate records that validate the efficiencies gained.
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