Optimise logistics and storage cost using IntelliTwin

Determining the right economic order quantity (EOQ) is a critical challenge in supply chain management. The adago EOQ Optimizer automates the calculation of optimal order quantities and continuously updates recommendations based on changing conditions.
Balancing holding costs, ordering costs, and dynamic market conditions in modern supply chains
Order too much and face high storage costs, insurance, and obsolescence risk. Order too little and incur frequent transportation costs and stockout risks.
Finding the right balance between holding costs and ordering costs is critical for profitability and supply chain efficiency.
Seasonal fluctuations, supplier price changes, and demand shifts continuously affect optimal inventory levels in real-world conditions.
Traditional static EOQ calculations fail to adapt to changing market conditions, leading to suboptimal ordering decisions.
Manually recalculating order quantities for large SKU portfolios is time-consuming, error-prone, and often leads to outdated decisions.
Without automated systems, companies rely on gut-feel decisions or outdated parameters, both of which can be costly.
Move beyond guesswork with data-driven EOQ recommendations

Transform your inventory management with precision-driven EOQ optimization

Optimize order quantities to find a balance between storage and transportation costs that reduces costs while minimizing stock-outs and emergency replenishments.

Early detection of potential inventory risks through alerts and scenario comparisons to avoid costly interruptions. Reaction to real-time changes in parameters resulting in necessary EOQ adjustments.

Automate complex calculations and scenario analyses, reducing manual workload and enabling your team to focus on strategic tasks.

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