Strategic Optimisation Goes Further.
It asks: What resources do we need in the first place to operate at maximum productivity and profit?
This shifts the focus from short-term planning to long-term decision-making—evaluating asset types and locations, understanding the true cost of new customers or contracts, and redesigning networks or supply chains to perform at their best.
For example, a logistics company may re-evaluate its fleet mix or warehouse locations. A manufacturer might optimise its global supply chain to balance cost and capacity. Even business development teams can benefit—using strategic modelling to price new contracts with full visibility into their impact on operations.
Driving Optimisation Solutions for Industry
Long Term Activity Data
At Opturion, we use long-term activity data—spanning months or years—to simulate and compare scenarios. The goal? To identify solutions that are resilient, scalable, and cost-effective over time.
Grocery Distribution
We modelled deliveries across an entire year—including seasonal peaks like Christmas and Easter—to determine the optimal fleet size. Many companies size their fleets for the lowest demand and rely on contractors during busy periods. It seems efficient, but the best solution often lies in between—balancing fixed and variable capacity more intelligently.
AI Powered Engine
Unlike traditional optimisation tools, which struggle with large, complex problems, Opturion’s AI-powered engine scales effortlessly. As problem size increases, our solve time grows linearly—not exponentially—making strategic optimisation practical for real-world use..
Proven Results
We’ve delivered proven results for companies like K&S Energy, Linfox, EFM Logistics, and Chemist Warehouse—reducing fleet size by up to 20% and cutting costs by 10% or more.
This isn’t just about optimising operations—it’s about rethinking strategy.
And the same principles apply across industries—from transport and logistics to manufacturing and energy.
