Balance service, cost, and inventory across your entire supply chain network.
Optimize inventory where it matters most.
SCY MEIO helps organizations right-size inventory across plants, warehouses, and distribution centers using advanced optimization algorithms.
Deliver higher service levels with lower working capital — powered by AI and deep supply chain intelligence.
Problem Statement
Traditional inventory planning often works in silos — every node optimizes for itself, not for the network. The result? Overstocked warehouses, stockouts at customer-facing sites, and millions locked in working capital.
Impact: Companies lose up to 25% of potential working capital efficiency due to uncoordinated safety stock and reorder policies.
Solution Overview
SCY MEIO uses advanced mathematical solvers and AI-based analytics to optimize inventory across multiple echelons — from raw material suppliers to finished goods distributors.
It calculates optimal stock levels, reorder points, and safety buffers by balancing service level targets, lead times, and variability across the network.>
The result: higher responsiveness, reduced capital blockage, and consistent fulfillment performance — even under uncertainty.
Unlike traditional single-echelon systems, SCY MEIO connects upstream and downstream inventory decisions, enabling visibility and control across the entire value chain.
Key Features & Capabilities
- Multi-Echelon Optimization Engine
- Optimize safety stocks and reorder levels across all supply chain nodes simultaneously.
- Demand & Supply Variability Modeling
- Account for uncertainty in demand, supply, and lead times using stochastic simulation.
- Service-Level Driven Planning
- Dynamically adjust safety stock based on desired fill rates or service targets.
- Integrated What-If Scenarios
- Run simulations to assess inventory impact under demand surge, disruption, or policy change.
- Inventory Segmentation
- Segment SKUs based on ABC/XYZ, criticality, or contribution to service and cost.
- Seamless Integration
- Connects directly with ERP, planning, and execution systems for real-time decision support.
Benefits / Business Impact
- Reduce total inventory by 10–30%.
- Improve service levels by up to 15%.
- Release millions in working capital.
- Minimize stockouts and excess simultaneously.
- Enable data-driven, responsive inventory policies.
Use Cases / Applications
- Manufacturing: Optimize mixed pallet and container loads for exports.
- Retail & FMCG: Pack diverse SKUs efficiently to minimize transport costs.
- Logistics Providers: Automate load planning for multiple clients and routes.
- E-commerce & Distribution: Ensure last-mile containers are packed for volume and delivery sequence.
Integrations & Compatibility
- ERP Systems: SAP, Oracle, Microsoft Dynamics
- Demand Planning Systems: Kinaxis, Blue Yonder, o9
- Visualization: Power BI, Tableau dashboards
- Deployment Options: Cloud, On-premise, Hybrid
Global Consumer Goods Manufacturer – Working Capital Unlocked
A global FMCG leader struggled with fluctuating service levels and bloated working capital due to fragmented inventory planning. Each region operated with different safety stock policies, leading to imbalance and inefficiencies. With SCY MEIO, the company synchronized its multi-echelon network across regional DCs, local warehouses, and plants. The system optimized reorder points and safety stock dynamically, accounting for lead-time variability and service goals. Within six months, working capital dropped by 22%, service levels rose to 97%, and planner productivity improved significantly.