Optimize to Maximize.

Front Point Analytics' core capabilities are grounded in Operations Research, using mathematical models, statistical analysis, and optimization techniques to improve decision-making and problem-solving in various industries:

• Machine Learning and Artificial Intelligence: With the advancements in machine learning and artificial intelligence, Front Point Analytics is exploring the application of these techniques to solve complex optimization problems. Our algorithms can help in predictive analytics, demand forecasting, and predictive maintenance.

• Supply Chain Optimization: With globalization and the increasing complexity of supply chains, optimizing the supply chain has become a critical area of focus for Front Point Analytics. This includes inventory management, transportation and logistics, and demand forecasting.

• Health Care Operations: Operations research techniques can be applied to health care to improve patient outcomes, reduce costs, and increase efficiency. This includes optimizing hospital operations, scheduling appointments, and optimizing the allocation of resources.

• Energy Optimization: As the world moves towards more sustainable and renewable energy sources, we can help optimize the use of energy resources and reduce energy costs. This includes optimizing the use of renewable energy sources, reducing energy waste, and optimizing energy storage.

• Smart Cities: Smart cities use data and technology to improve the quality of life for citizens. Heuristics can be used to optimize traffic flow, reduce congestion, and improve public transportation systems in smart cities.

• Risk Management: Front Point Analytics can help organizations identify and manage risks associated with your operations. This includes optimizing risk management strategies, identifying potential risks, and developing mitigation plans.

• Financial Optimization: Bespoke predictive and prescriptive algorithms can be used to optimize financial portfolios, manage risk, and develop investment strategies. This includes portfolio optimization, risk management, and asset allocation.

• Manufacturing Optimization: Our research can be applied to manufacturing to improve productivity, reduce costs, and optimize production schedules. This includes process optimization, scheduling, and quality control.