OptimInventory is a scientifically grounded inventory-optimization platform built on more than nine years of peer-reviewed research. The simulation engine behind it has been cited in journals including Sustainability, Applied Sciences, and the European Journal of Operational Research.

Why optimal inventory matters

Most companies hold either too much inventory — tying up capital, warehouse space, and emissions in stock that doesn't move — or too little, losing sales every time a customer order can't be fulfilled. The trade-off seems unavoidable, but it isn't. The conflict only exists when inventory levels are set by intuition or fixed rules of thumb.

OptimInventory uses simulation modelling and machine learning to find the precise inventory configuration that meets your service targets at the lowest possible cost — while accounting for stochastic demand, supplier lead times, working-day patterns, minimum order quantities, and your own constraints.

What you can achieve

Independent academic studies using OptimInventory's simulation engine have demonstrated:

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Up to 41.8% reduction in total inventory-related costs by adjusting a single operational parameter — the review period.
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3.8× to 5.1× cost differences between worst- and best-configured inventory systems serving the same demand at the same fill rate.
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Significant GHG emissions reductions from inventory-related transport, calculated according to the new ISO 14083 standard.
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Validated equations with R² > 0.99 for predicting order sizes and replenishment frequency under stochastic demand.

These are not marketing numbers. They are published, replicable, peer-reviewed findings from journals indexed in Scopus and Web of Science.

Five reasons to optimize inventory

Inventory optimization affects every part of supply-chain performance:

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Better decisions through data. Accurate inventory data supports better forecasting, planning, and procurement decisions.
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Higher customer satisfaction. Having the right products available when needed prevents stockouts and protects service-level agreements.
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Lower total cost. Excess inventory ties up capital, increases warehousing costs, and risks obsolescence. Tight optimization frees both cash and floor space.
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Operational efficiency. Smoother coordination between suppliers, warehouses, and distribution lowers handling and rework.
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Improved sustainability. Better inventory management reduces waste from unsold products, fewer transport movements, and lower emissions — measurable to the ISO 14083 standard.

Want to see what optimal looks like for your business?

We can run a free preliminary simulation on a sample of your inventory data and show you the cost and emissions reduction that's available without changing your service levels.