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Cosmo Tech AI Simulation for Inventory Optimization | Azure Application

Cosmo Tech

Cosmo Tech AI Simulation for Inventory Optimization | Azure Application

Cosmo Tech

Inventory Optimization with AI Simulation

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.

Cosmo Tech transforms decision-making in unpredictable business environments by enabling leaders to simulate complex scenarios before they happen. Unlike traditional optimization tools, our AI-Simulation platform captures interdependencies across the entire value chain, generates high-fidelity synthetic data and delivers resilient strategies that turn market volatility into competitive advantage—proven to accelerate time-to-value by 20x while unifying organizations around a single model of truth.

Key capabilities

  • Model real-world complexity—not just historical patterns
  • 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.
  • 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.

Key Benefits

  • Free up millions in working capital by optimizing stock levels intelligently
  • Prevent stockouts with proactive, impact-based inventory planning
  • Synchronize service levels, working capital, and risk – at scale.
  • Otimize both inventory levels and cash-to-cash cycle time.
  • Improve supply plans to align with the anticipated demand fluctuations.

This approach leads to substantial savings in operational expenses, while increasing customer satisfaction.


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