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Industrial Food Services selects Optimity for supply chain planning
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Optimity uses a combination of Mathematical Optimization and Machine Learning technologies to accurately describe, predict and solve the challenges of supply chain planning.
The solution harnesses these powerful technologies to optimize your supply chain planning and provide valuable business insight.
Optimization and Machine Learning underpins everything we do at Optimity. The technologies work behind the scenes to create plans that maximize your overall profits and customer service.
Optimity uses Machine Learning to continuously train and refine your supply chain model. It detects and quantifies cause-and-effect relationships hidden in your data and translates them into information the planning tool can understand and use.
The result is a deeper insight into the future, better forecasting and less supply chain disruption.
Mathematical optimization provides the intelligence and muscle needed to make the best planning decisions. Optimity uses a detailed model of your supply chain – the “Digital Twin”, that’s based on your business’s particular rules and constraints.
Working from the digital twin, optimization solvers determine the most profitable way to meet demand. Even the most complex problems can be solved in a matter of seconds.
Optimization algorithms need a framework to deliver optimized plans and reliable decision support.
Optimity maintains a digital representation of the complete supply chain. This “Digital Twin” gives the algorithms real-time access to every business rule, operational constraint and cost.
Every time an algorithm goes to work, it is fully informed about its objective, what it can and can’t do, and its costs. The Digital Twin also allows your planners to simulate different supply chain scenarios which helps improve decision-making.
With connected machines, machine learning, and mathematical optimization, you can reduce production downtime and plan necessary maintenance to avoid disruption.
This whitepaper uses common planning scenarios to explain how supply chain optimization technology works and why companies looking to streamline operations and maximize profits should consider switching.
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