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Resource > Solution Sheet

Supply Chain

To keep supply and demand in balance and deliver products and services to customers in the most efficient and profitable manner possible, companies today need to leverage the most powerful data-driven, analytics-based technologies – and, without a doubt, mathematical optimization is one of those technologies.

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Financial Services

Mathematical optimization is used by leading financial services companies today to optimize many different customer-facing and back-office functions. These companies rely on mathematical optimization to help them efficiently manage their assets and operations and make the best possible business decisions.

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Healthcare

With mathematical optimization, healthcare providers can ensure the timely resolution of healthcare issues for patients, improve resource utilization and employee satisfaction, and reduce operating costs – so that they safeguard the health of society as well as the sustainability of the healthcare system.

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Telecommunications

Discover how mathematical optimization can empower telecom companies and regulators to make data-driven, optimal decisions on how to manage their operational networks and supply chains and utilize their resources – so that they can satisfy demand, drive revenue growth, and profit from the opportunities of the 5G era.

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Electric Power

Download the Electric Power Industry Solution Sheet to learn how mathematical optimization technologies can help electric power companies handle the challenges, complexity, and changes in their industry landscape today and in the future.

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Manufacturing (Make to Stock Approach)

Mathematical optimization empowers companies employing the make to stock approach to utilize their demand forecasts to fuel data-driven, optimal planning and decision making – so that they can maximize their operational efficiency, minimize costs, and match inventory with demand in the most cost-effective and profitable way possible.

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Manufacturing (Make to Order Approach)

Mathematical optimization can help manufacturers of MTO products balance the complex tradeoff between project costs and times, maximize the utilization of their resources, and manage their end-to-end supply chain operations – so that they can consistently deliver products to customers and profits to shareholders.

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Financial Services: Collateral Allocation Optimization

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Marketing Campaign Optimization

Mathematical optimization enables you to efficiently target the right person, with the right offer, through the right channel, at the right time – and ultimately drive increased sales and ROI on your marketing campaigns. This Solution Brief – produced by Gurobi in collaboration with Lityx and Princeton Consultants – to discover how you can use mathematical optimization to maximize the response and revenue that your B2C marketing campaigns deliver.

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Consumer Packaged Goods (CPG)

We all depend on consumer packaged goods (CPG) companies to deliver, and – in order to deliver for us – CPG companies depend on mathematical optimization. With mathematical optimization, CPG companies can generate plans and automate decisions – based on their demand forecasts and real-time supply chain data.

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Agribusiness

The world’s oldest industry, agriculture, is currently undergoing a profound transformation, which is changing the way that agribusiness enterprises do business. Find out how leading agribusiness enterprises utilize mathematical optimization to cultivate, facilitate, and automate optimal, integrated planning and decision making and realize tremendous business benefits.

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Oil, Gas, and Petrochemicals

Mathematical optimization has been used for more than half a century by leading oil, gas, and petrochemical enterprises in a wide variety of off-the-shelf and custom-built applications to address a whole host of business problems including batch production planning and scheduling, product portfolio allocation, multi-period blending, network design, sales and operations planning, and multi-modal transportation planning. Today – as the oil, gas, and petrochemical industry enters into a new era of change and complexity – mathematical optimization remains an essential AI tool for enterprises across the value chain, empowering them to optimize their business operations and outcomes and to overcome the challenges that they face.

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