Cosmo Tech

Optimal Inventory Management with
AI Simulation

Balance costs and customer satisfaction for maximum business performance

Uncertainty in demand, market dynamics, and supply chain disruptions often lead to forecasting errors, causing excess inventory or stockouts. The key challenge is to balance adequate inventory levels against the costs and risks of uncertainty. Optimal inventory management requires robust forecasting, agile supply chain processes, effective risk management, and the capacity for swift inventory adjustments.

Leave the guesswork behind!

Forecasts based solely on historical data are merely guesses if they fail to consider various uncertainties.

  • Attain accurate, rapid results with AI-Simulation technology, ideal for industries requiring meticulous accuracy.
  • Optimize supply chain decisions with a complete view of all potential outcomes and an understanding of how uncertainties affect key performance indicators, including service and inventory levels.

Maximize efficiency, minimize uncertainty

By modeling complex relationships between demand, supply and market dynamics while  incorporating uncertainties present in demand forecasting, AI Simulation significantly improves  supply plans to align with the anticipated demand fluctuations. 

  • Have  a clear understanding of potential demand outcomes, optimize production capacity, inventory management, procurement and distribution strategies. 
  • Consider factors like production capacity, lead times, and supplier constraints and minimize the risks of stockouts or excessive inventory, thus improving the overall supply chain performance and driving cost savings.

Unlock key insights

With advanced experiments such as sensitivity analysis, supply chain managers  can analyze how changes in different variables affect inventory management  key performance indicators.

  • Assess the sensitivity of key factors such as demand patterns, lead times, pricing or supplier performance on costs, inventory and service levels and make informed decisions.
  • Consider different scenarios and testing different values of critical parameters for proactively mitigating risks associated with uncertainty.

Navigate complexity in inventory optimization 

Businesses can find the optimal balance between inventory costs and customer satisfaction by acting on various areas of the supply chain at a global scale. 

  • Identify optimal reorder points and safety stock levels based on various factors like lead times, demand variability and desired service levels.
  • Optimize replenishment strategy such as best transport modes and stock policy, order quantities and frequency.
  • Assess the impact of disruptions and their impact on inventory availability.