Intelligently optimize for your service level and inventory tradeoffs while delivering on your operational and financial goals
Inventory optimization is often discussed using approaches like Multi-Echelon Inventory Optimization (MEIO), which focus on positioning inventory to meet predefined service levels. In Service Supply Chains, where demand is volatile and downtime is costly, optimization must account for financial impact, not just service targets. Baxter Planning approaches inventory optimization through Total Cost Optimization (TCO), empowering you to deliver on both your operational and financial goals.
Multi-Echelon Inventory Optimization (MEIO) is a commonly referenced approach for positioning inventory across multi-level supply networks to achieve predefined service levels with minimal inventory investment.
Baxter Planning’s Total Cost Optimization (TCO) operates in the same multi-echelon service network environment, but takes a different starting point. Rather than optimizing inventory to meet an assumed service level, Total Cost Optimization evaluates the full financial impact of service decisions — including downtime, penalties, expediting, and carrying costs — to determine the most economically effective service level for each part and location.
This distinction is especially important in service parts supply chains with low-volume, intermittent, or lumpy demand, where fixed service targets can obscure true cost tradeoffs.
Our cost-based planning engine determines the right service level so you don’t have to. Meaning, Baxter Planning’s system calculates the economically optimal service level, which planners can transparently manage and adjust based on business priorities.
Some service parts environments, particularly for High-Tech and Life Sciences, are defined by low-volume, intermittent demand, high downtime risk, and globally distributed networks. Leaders must constantly balance service commitments against inventory budgets, often with limited visibility into tradeoffs. In this reality, optimization is not about maximizing service levels, it is about choosing service levels that make financial sense.
Service parts demand is low-volume, erratic, and failure-driven. Traditional forecasting methods built for production environments struggle to model this variability, leading to excess inventory or unexpected stockouts.
A single stockout can trigger SLA penalties, expedited freight, repeat service visits, lost technician productivity, and customer dissatisfaction. The financial impact often far exceeds the carrying cost of the part itself. Optimization must account for both inventory cost and stockout cost.
Service Supply Chains span distribution centers, forward stocking locations, technician vans, repair depots, and suppliers. Inventory decisions in one location impact performance across the entire network. Without Multi-Echelon Inventory Optimization, local decisions create system-wide inefficiencies.
Executives must meet aggressive service commitments while controlling working capital and inventory budgets. Maximizing service level alone is not the goal. The real objective is achieving the optimal service level that minimizes total cost and protects profitability.
Baxter Planning brings decades of deep domain expertise in service parts planning. If you’re unsure whether MEIO or TCO is the right approach to address your Service Parts Planning challenges, we’d welcome the opportunity to have a consultative conversation and help you determine the best path forward.
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