Cosentino Transforms Sales Planning and Manufacturing Efficiency with Gurobi’s Optimization Technology
Gurobi Optimization, LLC, a global leader in decision intelligence and mathematical optimization technology, is playing a pivotal role in enhancing operational efficiency at Cosentino, a world-renowned producer of innovative mineral surface materials. Through the integration of Gurobi’s powerful solver into its workflows, Cosentino is streamlining both its commercial and production processes—driving measurable improvements in performance, resource allocation, and time management.
Cosentino, whose products are distributed in more than 100 countries, operates on a global scale and faces complex operational challenges, particularly in the areas of sales planning and manufacturing. With a vast commercial team comprising over 1,000 sales representatives, one of the company’s ongoing logistical hurdles is designing optimal sales visit schedules. These plans must take into account a variety of real-world constraints, including time limitations, geographical coverage, client sales potential, and evolving market dynamics.
Traditionally, managing this scale of commercial activity has involved time-consuming manual planning or the use of static rules-based systems that lack flexibility. However, by adopting Gurobi’s mathematical optimization solver, Cosentino’s Data Science team has been able to automate and significantly enhance the sales planning process. The result is a dynamic and data-driven route optimization solution that ensures each sales representative’s two-week itinerary is both time-efficient and commercially strategic.
Antonio Carrasco Pérez, Cosentino’s Data Analytics Director, highlighted the impact of Gurobi’s optimization tools on the team’s workflow:
“With Gurobi, our Data Science team can be confident; they can disconnect at the end of the day, and they can focus on solving problems, not worrying about whether the technology is reliable or not.”
This confidence stems from Gurobi’s reputation for speed, robustness, and reliability, especially in handling large-scale and complex decision problems like Cosentino’s multi-criteria sales route planning.
But Cosentino’s transformation goes beyond commercial planning. In the manufacturing domain, the company manages a variety of sophisticated production lines dedicated to creating high-quality mineral-based surfaces used in architecture and design. These production lines must operate with maximum efficiency to meet global demand, avoid bottlenecks, and manage raw materials and machine time effectively. Any inefficiency or delay in this system can result in production slowdowns, increased costs, and missed delivery targets.
To overcome these challenges, Cosentino again turned to Gurobi to develop optimization models that could intelligently allocate manufacturing tasks, manage capacity across production lines, and ensure balanced workloads. This has enabled Cosentino to identify and eliminate bottlenecks, minimize downtime, and align production output with real-time demand—resulting in a leaner, more responsive manufacturing operation.
Duke Perrucci, CEO of Gurobi Optimization, emphasized the significance of their partnership with Cosentino:
“From smarter sales planning to optimized manufacturing, we’re proud to help innovative companies like Cosentino drive impact by leveraging the power of mathematical optimization. Optimization technology enables businesses to make better, faster, and more efficient decisions—especially when scale and complexity are involved.”
The success of this collaboration reflects a broader trend among forward-thinking enterprises that are adopting decision intelligence tools to stay competitive in fast-changing markets. For Cosentino, optimization is not just about short-term gains—it’s part of a long-term digital transformation strategy that positions the company to grow efficiently while continuing to deliver exceptional customer service and high-quality products.
By embedding Gurobi’s solver into its internal platforms and processes, Cosentino has been able to scale its operations more intelligently. The improvements in route planning have led to better time management for sales representatives, allowing them to maximize client engagement and boost overall sales effectiveness. Simultaneously, improvements in manufacturing planning have reduced operational inefficiencies, allowing the company to meet increasing demand without overextending its resources.
These operational gains also have strategic implications. With greater clarity into both its commercial and production systems, Cosentino is better equipped to respond to market changes, customer needs, and supply chain disruptions. It’s a level of agility that is increasingly critical in today’s globalized business environment.
To explore more about how Cosentino successfully implemented mathematical optimization and the results it achieved across both sales and manufacturing, the full case study is available from Gurobi.
