Sofas Technology presents its products. quantum solver In a live webinar on March 10, the company promised to deliver 50-100x faster optimization speeds for complex supply chain models and decision intelligence applications. This new technology is designed to expand the scope of realistic calculations for companies working on complex network design and scenario planning. According to Sophus, Quantum Solver addresses a critical limitation for organizations and asks, “What if organizations no longer needed to simplify models just to make them solvable?” By enabling highly detailed analysis of systems within a practical time frame, the company is positioning it as a next-generation optimization solver, potentially enabling solutions previously thought impossible to evaluate.

Quantum solver enables supply chain optimization 50-100x faster

Sophos claims this technology will enable organizations to move beyond the simplified models previously required due to limited computing power and embrace a “full fidelity” representation of the network. According to Sophus, this dramatic increase in processing speed is about more than just faster results. It’s about unlocking the potential for more comprehensive analysis. Quantum Solver facilitates daily-level production planning and replenishment of SKU locations across a global network, allowing teams to analyze complex systems in a single, integrated model. This webinar will feature a live use case demonstration of how these accelerated resolution times can lead to improved network design and inventory optimization. Sofas experts explain in detail the mechanics behind Quantum Solver and provide an exclusive look at its alpha release. It aims to explain how the technology enables “more powerful decision-making for rapid network design,” as the company puts it. Interested parties can register for the live online event through the Microsoft Teams link provided.

Currently, supply chain optimization often requires model simplification to achieve solvable results within a reasonable timeframe, forcing organizations to compromise on granularity and detail. The technology promises to deliver optimization speeds 50 to 100 times faster than existing methods, enabling the implementation of highly granular models across global networks, from daily production planning to SKU location replenishment. Problems that were previously too large or too detailed for traditional solvers can now be evaluated in hours or minutes, unlocking previously inaccessible analysis options.