In a world driven by data, making the right decisions can be a complex task. Enter prescriptive analytics—a powerful tool that goes beyond merely analyzing data to actively recommending (“prescribing”) solutions.
From optimizing energy consumption to enhancing supply chain efficiency, reducing financial risks, and crafting personalized marketing strategies, mathematical optimization is the unsung hero behind many of today’s business successes. But how are companies harnessing this powerful tool, specifically? What are the real-world applications that are making waves across various sectors?
Although prescriptive analytics is at play across nearly all industries, let’s take a look at some specific ones:

Air France’s Tail Assignment Optimization

Air France uses mathematical optimization to optimize tail assignment for its fleet. By considering various constraints, such as maintenance requirements and regulations, the airline significantly reduces operational costs and increases efficiency, providing more reliable services to its passengers.

SESCO’s Energy Portfolio Optimization

Energy trading company SESCO leverages mathematical optimization to enhance its energy trading portfolio. By considering complex variables like market volatility, regulatory constraints, and financial risks, SESCO creates an optimal trading strategy. This approach not only maximizes profits but also provides a more resilient and adaptable trading system, ready to respond to ever-changing market conditions.

Blue Yonder’s Dynamic, Optimized Pricing Decisions

In the fast-paced world of retail, Blue Yonder uses mathematical optimization to determine optimal price points for entire product lines. By considering complex rules and product relations, the company makes real-time price adjustments, leading to a 5% increase in product sales and a 20% reduction in inventory. This innovative approach allows Blue Yonder to stay ahead of the competition and respond swiftly to market demands.

Mondelēz’s Optimized Shipping Solutions

Snack giant Mondelēz International uses optimization to create shipping plans that maximize the use of vehicles at the lowest cost. By considering variables like capacity, lead time, and route availability, Mondelēz automates the shipping process, saving time and ensuring the most cost-effective solution.

Avista’s Utility Options Optimization

Publicly owned energy company Avista Utilities, uses mathematical optimization to produce more electricity with given resources. By developing the Avista Decision Support System (ADSS), powered by patented algorithms, Avista solves complex utility problems within seconds. This approach not only reduces manual decision-making but also helps in better utilization of resources, keeping maintenance costs low, and maintaining a balance of supply and demand.

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