Cash tied up in inventory is not automatically a sign of poor planning. It may reflect long supplier lead times, broad spare-parts assortments, seasonal demand, or a deliberate service promise. But an effective inventory reduction working capital strategy separates inventory that genuinely protects revenue from inventory that simply absorbs cash, warehouse capacity, and management attention. The objective is not to buy less at all costs. It is to hold the right stock, at the right location, for the right demand and service-level target. When that discipline is applied at item-location level, companies can reduce working capital without creating the stockouts, expedites, and lost sales that often follow broad inventory-cutting programs. Start With the Inventory That Is Not Earning Its Keep A finance-led target such as “reduce inventory by 15%” can create urgency, but it cannot tell a planner which SKUs to change. Across a large assortment, the same reduction can have very different consequences. Cutting a slow-moving, high-value item with no recent demand is usually sensible. Cutting a frequently ordered component that supports a top-selling finished good can quickly become expensive. Start by segmenting stock using both commercial importance and demand behavior. Traditional ABC classification remains useful: A items represent a high share of sales value or margin, while C items have lower commercial impact. However, value classification alone is not sufficient for replenishment decisions. An A item ordered once each quarter requires a different policy from an A item ordered every day. Add demand frequency, order-size variation, lead time, supplier constraints, and current service performance to the analysis. This makes it possible to identify four common sources of trapped working capital: obsolete or superseded items with little credible future demand; duplicate stock held across warehouses without a transfer policy; safety stock based on old assumptions rather than current variability; order quantities driven by supplier habits, minimums, or outdated ERP parameters. The first category may need a commercial disposition plan rather than a replenishment adjustment. The other three are usually planning opportunities. Treating them differently prevents a working capital project from becoming a blunt clearance exercise. Set Service Levels Before Reducing Stock Inventory reduction only works when the business agrees on what availability it must protect. A 99% service target for every item sounds customer-focused, but it is rarely economical. Low-value, infrequently demanded items can require disproportionate safety stock to reach that target. At the same time, a modestly higher target for a critical spare part or fast-moving revenue item may be fully justified. Set item-level service targets according to customer impact, margin, substitutability, contractual obligations, and supply risk. For example, a distributor may target 98% availability for core A items, 95% for standard B items, and a lower target for long-tail products that can be sourced within an acceptable lead time. A manufacturer may assign higher protection to components that can stop a production line, regardless of their individual purchase value. This is where working capital and customer service become part of the same decision. Instead of asking whether inventory is too high in aggregate, ask whether each SKU is carrying the stock required to meet its intended availability. The answer may reveal that some items are understocked while the overall warehouse remains overstocked. Use Actual Demand Patterns, Not Average Demand Alone Many ERP replenishment settings rely on average monthly demand and a fixed safety-stock value. That method is easy to maintain, but it often fails when demand is intermittent, order quantities vary sharply, or customers buy in batches. Consider two items with the same average monthly demand of 100 units. One is ordered daily in small quantities. The other receives one order of 100 units near the end of each month. Their average is identical, but their replenishment risk is not. Applying the same reorder point to both will either create unnecessary stock or expose the business to shortages. A more accurate approach uses demand distributions based on actual order frequency and order quantities, then simulates how a proposed safety stock and reorder point perform against the chosen service level. This allows planners to see the trade-off clearly: how much inventory is needed for 95%, 97%, or 99% availability, and where an additional percentage point of service becomes disproportionately expensive. Turn Forecasting Into Replenishment Parameters A forecast is useful only when it changes an operating decision. For inventory reduction, that means translating demand forecasts into safety stock, reorder points, order-up-to levels, and purchase recommendations that can be used by the ERP or purchasing team. Nightly statistical forecasting is especially valuable for broad SKU assortments where demand patterns change faster than planners can manually review them. It should account for trend, seasonality, intermittent demand, and recent changes in sales behavior. Forecast exceptions still matter, particularly for promotions, new contracts, product launches, and known customer projects. But planners should spend their time reviewing exceptions rather than maintaining thousands of static parameters. The operating workflow is practical: classify items, calculate demand behavior, assign service levels, simulate replenishment settings, and return approved parameters to the system of record. Each step should be visible to the people accountable for purchasing and availability. If a buyer cannot understand why a reorder point changed, the recommendation is less likely to be trusted and adopted. ABCstock applies this logic by combining automated item classification, nightly forecasting, and service-level-driven safety-stock calculations. It can return optimized settings to the existing ERP environment, so companies improve planning decisions without replacing the systems that run orders, purchasing, production, and fulfillment. Rework Supplier Ordering Without Creating More Purchase Orders Working capital is often inflated by the way companies order from suppliers. Buyers may purchase large quantities to secure unit-price breaks, meet freight thresholds, or reduce the administrative effort of placing orders. These choices can be rational, but only if the carrying cost and demand risk are included in the calculation. A lower unit cost is not always a lower total cost. If an additional 2,000 units sit for nine months, consume warehouse space, and eventually require discounting, the purchase-price saving may disappear. This is particularly common with items that have uncertain demand, a short product life cycle, or a high risk of engineering revision. Supplier-level purchase-order optimization can improve this decision. Instead of reviewing each SKU independently, group recommendations by supplier and evaluate minimum order value, freight thresholds, order cycles, lead times, and available stock across the supplier portfolio. The goal is to place economically sensible consolidated orders without using supplier constraints as an excuse for excess inventory. This can also reduce purchasing friction. A buyer who receives a short, prioritized set of supplier order proposals can focus on exceptions, supplier conversations, and commercial decisions. The organization gets fewer reactive purchase orders and less time spent searching through disconnected reports. Measure Cash Release Alongside Availability A credible inventory reduction program needs a baseline and a scorecard that both operations and finance accept. Total inventory value is necessary, but it is not enough. A lower balance achieved through backorders and lost sales is not an operational improvement. Track inventory value and days on hand by item class, location, supplier, and planner. Pair those measures with fill rate, stockout frequency, backorders, expedite costs, forecast accuracy, and excess-and-obsolete stock. For purchasing, monitor order count, average order value, supplier minimum compliance, and the share of orders changed manually. The most useful metric is often the cash release from inventory that no longer supports the selected service level. That figure connects planning changes to working capital without rewarding indiscriminate reductions. Review it monthly, but allow enough time for lead-time cycles to show the real effect of parameter changes. It also depends on the business model. A multi-warehouse retailer may gain more from rebalancing stock between locations than from reducing total units. A spare-parts supplier may keep strategic long-tail inventory because a single missed order can damage a critical customer relationship. A manufacturer may need to protect inputs with volatile lead times even if their carrying cost is high. Make Inventory Reduction a Continuous Planning Discipline One-time parameter cleanups produce an initial benefit, then drift returns. Demand shifts, supplier lead times move, new items replace old ones, and customer ordering patterns change. A working capital strategy must therefore be built into the planning cadence, not treated as an annual stock-count exercise. Review planning exceptions regularly. Investigate items with rising safety stock, falling demand, repeated stockouts, unusual supplier lead-time changes, or persistent inventory above target. Give procurement, sales, operations, and finance a shared view of the decisions behind those exceptions. The data does not remove commercial judgment, but it makes that judgment faster and more defensible. The strongest results come when inventory is managed as a controlled investment rather than a warehouse problem. Every replenishment setting should answer a simple question: what availability does this stock buy, and is that availability worth the cash it requires? When teams can answer that at item level, working capital reduction becomes a repeatable operating advantage rather than a temporary cost-cutting campaign.