OneChronos: Using Optimization and Combinatorial Auctions to Innovate Modern Trading
With Gurobi, OneChronos brings their ‘Smart Market’ up to the speed, scale, and resiliency of the U.S. equities market to better meet the needs of today’s traders and investors.
Pharmaceuticals: Using Optimization to Mitigate Risks Across Global Supply Chains
With ICRON’s Customer Centric Supply Chain Planning & Optimization solutions and the solving power of Gurobi, a multinational pharmaceutical company can ensure the efficient distribution of their products worldwide.
KLM-BCG: Using Optimization to Navigate a Turbulent Planning Horizon
With Gurobi, KLM is able to calculate projected crew needs 3-5 years into the future, within a fraction of the time legacy systems required.
Metallurgical Additives Producer: Achieving Faster Resource Optimization and an Estimated $1.5M in Annual Savings
Gurobi enables a producer of metallurgical additives to create optimized aluminum blends within minutes, replacing a manual process that took days.
Fonterra: Creating Optimal Product Mixes for Each Day’s Unique Dairy Supply
With help from Gurobi, Fonterra uses their new planning model to sustainably produce nearly a third of the world’s dairy exports.
Automation Intelligence: Bridging the Gap Between Automation and Optimization
With Gurobi, Automation Intelligence optimizes industrial automation to help their customers realize operational efficiencies across their supply chains.
Audi: Solving Complex Logistics Challenges in Seconds
Audi transformed a three-week manual planning effort into an automated solution.
J-POWER: Navigating Increased Complexity in Renewable Energy
As the Japanese energy industry transitions to renewables, J-POWER leverages Gurobi to match supply with demand.
Decide4AI: Using AI and Optimization to Implement Innovative Solutions
With Gurobi, Decide4AI helps their customers tap into their optimization potential and unlock more lucrative opportunities.
SESCO: Optimizing Energy Trading Portfolios
With support from Gurobi, SESCO simulates market dynamics to determine optimal energy pricing.
