We are a team of world-class engineers, mathematicians, and applied decision scientists with decades of industrial experience.
We excel in transforming complex supply chain challenges into streamlined, automated, and autonomous solutions.
Our team of experts leverages advanced techniques to optimise your operations, reduce costs, and boost profitability - all at a fraction of the usual investment associated with this level of expertise.
Is your supply chain hampered by inefficiencies, cumbersome manual processes, and complicated spreadsheets? You’re not alone - many businesses face these obstacles, stalling their growth and profitability.
At Octeract, we create customised, autonomous decision-making solutions that streamline your operations and eliminate these bottlenecks, empowering you to focus on what truly matters: driving your business forward.
No matter where your data resides – whether in spreadsheets, export files, or even within the knowledge of your team – we transform it into precise mathematical models.
Our world-record-holding decision engine analyses these models, considering all relevant constraints and variables, to deliver the optimal solution for your specific business challenge.
We then implement this solution on-site, fully integrating it with your existing systems.
Alternatively, we can provide a detailed report for you to execute at your convenience.
Complete the form, and one of our consultants will reach out to schedule
a short exploratory call at your convenience.
Our advanced capabilities enable us to deliver impactful solutions rapidly and accurately.
Our team’s world-record achievements in decision science translate into unparalleled expertise for your supply chain.
We don’t just solve part of the problem. We offer fully integrated bespoke solutions that deliver sustainable, long-term results.
Our clients consistently see significant improvements in efficiency, cost savings, and profitability through our mathematical and decision science approach.
Case studies
A top logistics company struggled with sub-optimal delivery routes due to reliance on manual input and complex Excel spreadsheets. This resulted in higher fuel costs, delayed deliveries, and reduced customer satisfaction.
We implemented an autonomous routing system driven by advanced mathematical models, optimising delivery routes in real time. By accounting for variables such as traffic, delivery windows, and vehicle capacities, our system reduced fuel costs by 20%, improved on-time delivery by 35%, and cut route planning time by 90%.