How can supply chain leaders and CFO’s do more with working capital than simply hit service targets and manage inventory turns? How can they directly support corporate goals and increase margins, supply chain certainty, and enterprise value?
These are questions redefining modern supply chain leadership, because today it’s no longer enough to optimize forecast accuracy or reduce stockouts. Supply chain teams are expected to actively shape financial outcomes. And that requires moving beyond static operational goals and embedding financial constraints directly into planning decisions.
Advanced planning with financial impacts centers on three critical areas: Open to Buy, Cost to Serve, and Cash Flow. Let’s explore how these key areas elevate supply chain planning, and how an advanced solution like the Atlas Planning Platform helps supply chain teams master these levers to drive strategy and boost business performance.
Open to Buy
Open to Buy (OTB) is a strategic inventory planning approach to determine the optimal amount of inventory different business segments can purchase to achieve financial, commercial and service goals. While this area traditionally lived within finance or merchandising, it has gradually moved closer to demand and inventory planning as supply chains grow more complex and capital becomes more scrutinized. Supply chain teams are critical parts of both the execution and decision-making of how much inventory investment the business can responsibly commit to.
At its core, OTB answers a fundamental question: How much capital are we willing to allocate to different segments of the business? Instead of planning purely to forecasted demand, organizations establish financial guardrails that dictate where and how inventory resources are deployed. Instead of simply asking what inventory the company needs, the team asks where they should invest their cash to fuel the business for future growth.
This becomes especially powerful when paired with scenario planning. A John Galt customer who distributes office and home charging and connectivity products was looking at investing more on emerging product categories, including USB-C cables, or carrying inventory to support demand and supply volatility. In order to determine the most optimal supply chain approach, this company modeled the upside profit and downside risks of using inventory to fuel growth products. By modeling across a probabilistic range of demand outcomes and the impact of their inventory strategy, this distributor made a bet to fuel growth, which has paid off handsomely over the past 18 months.
A technology manufacturer specializing in connectivity components for the IT industry faced a strategic shift in how it approached inventory investment. Rather than planning inventory strictly based on historical volatility or supplier variability, the company chose to cap inventory on mature product lines, even when statistical models suggested higher safety stock levels. Capital was intentionally redirected toward growth products aligned with long-term strategic initiatives. This shift reflects a broader evolution: inventory planning as capital allocation strategy.
With the Atlas Planning Platform, the manufacturer evaluates trade-offs between service levels, working capital, and growth investment.
Forward-thinking companies use supply chain planning software, such as the Atlas Planning Platform from John Galt Solutions, to model these trade-offs directly within the planning environment. Teams can simulate alternative supplier payment terms, inventory policies, and customer terms to understand working capital implications before making inventory commitments. Rather than reacting to cash pressures after decisions are made, they proactively align working capital allocation with financial strategy.
Cost to Serve
While Open to Buy governs how much you invest, Cost to Serve (CTS) captures the true cost of serving various markets, to accurately inform decision-making.
Many organizations lack a comprehensive understanding of the real cost of serving different products and customers, especially across omni-channel fulfillment models. Traditional legacy systems emphasize volume-based costing but often fail to capture the complexity introduced by customization, fulfillment frequency, order patterns, or differentiated service requirements. Without true visibility, companies risk overserving unprofitable customers, mispricing products, or designing networks that quietly erode margins.
A robust Cost to Serve approach in supply chain requires:
- Granular Cost Modeling: Accounting for transaction-based, activity-based, and volume-based costs.
- Holistic Optimization: Balancing cost, service levels, and cash flow simultaneously.
- End-to-End Visibility: Integrating data from transportation, warehousing, manufacturing, and logistics.
- Scenario Planning: Testing how changes in demand, pricing, or network configuration impact profitability.
The Atlas Planning Platform supports driver-based costing across three key dimensions:
- Transaction-based costs such as order processing and customer service expenses
- Activity-based costs including fulfillment frequency, partial loads versus full truckloads, kitting, and customization
- Volume-based costs such as production batch sizes and manufacturing efficiency.
This multidimensional modeling allows companies to evaluate the true cost of product differentiation, fulfillment strategies like direct shipping, as well as network design alternatives.
For example, what happens if a new customer has hidden costs, such as product customization, customer support costs, or longer payment terms? What if raw material costs drop, or a customer wants to bypass your network with direct shipping? What if transportation rates increase or the product portfolio expands with more customized SKUs? By stress-testing scenarios like these, supply chain leaders can proactively align segmentation, pricing, and service strategies with profitability goals.
Cash Flow
Cash is the lifeblood of the organization, and time is its hidden variable. Here’s a real-world example from a customer of John Galt Solutions navigating these trade-offs.
A John Galt customer was evaluating a sourcing shift and is faced with a new wrinkle in the analysis that goes beyond traditional cost, fill-rate and lead-times. The new vendor requires payment at order placement rather than at receipt. Production begins in March, payment occurs in April, inventory arrives in June, and customers pay in 90 days. Suddenly, cash will be tied up for months before revenue is realized. The gap between cash outflow and inflow can materially affect liquidity and borrowing needs.
Advanced planning enables leaders to model five critical trade-offs:
- Switching to suppliers with different payment terms
- Moving production geographically
- Nearshoring versus offshoring
- Increasing inventory to improve service levels
- Shifting product mix toward higher-margin but longer-lead-time items
It all comes down to truly analyzing carrying costs, lead times, service requirements, and payment timing. A nominal margin gain can disappear once working capital and CTS impacts are fully modeled.
Similarly, companies shifting from local suppliers to offshore sources may increase gross margin percentages; but also increase inventory levels, extend lead times, and raise fulfillment complexity. Without integrated financial modeling, what appears to be a margin improvement may weaken overall profitability.
Advanced planning platforms allow supply chain leaders to quantify these trade-offs, evaluating cost, service, and cash in a unified model.
From Operational Functions to Financial Leadership
Supply chain is no longer just about moving products efficiently with a lower purchase price. It is about managing margin, capital, and risk. It’s about integrating financial intelligence into planning decisions.
Legacy ERP systems were built for transactions and static targets while traditional planning systems lack advanced capabilities and access to the right data sources. Today’s landscape requires dynamic, financially integrated planning. By embedding OTB governance, CTS modeling, and Cash Flow analysis into advanced planning processes, supply chain leaders can align operational decisions with financial strategy, improve profitability, and support.
If you’re ready to move beyond static planning and embed financial intelligence into your supply chain decisions, let’s help you explore how the Atlas Planning Platform from John Galt Solutions can help you model trade-offs, run powerful what-if scenarios, and turn planning into a true driver of enterprise value.
