ERP5 min readNetray Engineering Team

Working Capital Optimization for Manufacturers

Working capital optimization is the systematic reduction of cash tied up in receivables and inventory, balanced against payables, measured by the cash conversion cycle: days sales outstanding plus days inventory outstanding minus days payable outstanding. For a manufacturer with $100 million in revenue and a 95-day cycle, taking 15 days out releases roughly $4 million of cash permanently, without a single new sale. Every lever that produces that result already exists in the ERP as receivable aging, inventory balances, planning parameters, and payment terms. The constraint is almost never data availability; it is that nobody owns the number.

Measuring the Cash Conversion Cycle Correctly

Compute DSO as average accounts receivable divided by revenue times days in period, DIO as average inventory divided by cost of goods sold times days, and DPO as average accounts payable divided by cost of goods sold or purchases times days. Two refinements make the number actionable. First, use the countback method for DSO in seasonal businesses, since the simple average badly distorts results when revenue is uneven. Second, decompose DIO into raw material, work in process, and finished goods, because the levers for each are completely different: raw material is a planning parameter problem, WIP is a cycle time problem, and finished goods is a forecasting and make-to-stock policy problem. A single blended DIO tells you nothing about what to fix.

Receivables: Reducing DSO Without Losing Customers

Most DSO improvement comes from process rather than pressure. Invoice accuracy is the biggest single driver: disputed invoices caused by pricing errors, missing purchase order numbers, or incorrect shipping documents commonly add 10 to 20 days to the affected receivables, and they cluster in a small number of customers. Invoicing same-day rather than in a weekly batch removes several days outright. Structured collections with segmented treatment by customer risk and balance size outperforms an alphabetical call list. Track promise-to-pay compliance by customer, and use actual observed payment behavior rather than stated terms in the cash forecast, because the gap between the two averages 6 to 12 days at most manufacturers.

  • Invoice on the ship date, not in a weekly batch; each day of billing lag is a day of DSO
  • Root-cause disputed invoices by category and fix the source, since disputes drive most of the aged tail
  • Segment collections by balance and risk, and work the highest-value accounts first with named owners
  • Forecast collections from observed customer payment behavior, not from contractual terms

Inventory: Where the Cash Is Actually Buried

Inventory usually holds the largest recoverable pool, and it is concentrated in places the aggregate number hides. Safety stock set once and never revisited is the most common source, especially where a single global service level was applied across items with wildly different demand variability. Excess and obsolete stock accumulates from discontinued products, engineering changes, and one-time buys, and the reserve masks it in the financials without releasing cash. Minimum order quantities and supplier price breaks quietly buy 18 months of a part to save 4 percent on unit price. Segmenting the item master by demand value and variability, then setting policy per segment, typically frees 15 to 30 percent of inventory value while improving service levels rather than degrading them.

  • Recalculate safety stock per item from actual demand variability and supplier lead time variability, not a flat rule
  • Review minimum order quantity and lot sizing where the carrying cost exceeds the volume price break
  • Identify excess and obsolete stock by months-of-supply and last-usage date, then act rather than reserve
  • Attack work in process by reducing queue time between operations, which is usually most of WIP days

Payables and Supplier Terms Without Damaging Supply

Extending DPO is the easiest lever to pull badly. Unilaterally stretching payments to strategic suppliers buys short-term cash at the cost of allocation priority, price increases at renewal, and expedite fees that exceed the benefit. The disciplined approach is to standardize terms at negotiation, pay to the actual term rather than early by default, and evaluate early payment discounts on their real economics. A 2 percent discount for paying 20 days early is roughly a 36 percent annualized return, which almost always beats holding the cash. Meanwhile, a meaningful share of manufacturers pay a material portion of invoices ahead of term simply because the payment run is not aligned to due dates, which is free working capital left on the table.

How Netray Working Capital Agents Release Cash

Netray deploys working capital agents that monitor the cash conversion cycle continuously from ERP data instead of quarterly from a report pack. The agents recompute safety stock and reorder points per item weekly against live demand and lead time variability, identify excess and obsolete inventory by months-of-supply and last movement, prioritize the collections queue by expected cash recovered rather than by age alone, detect invoices being paid ahead of terms, and root-cause disputed invoices by category. Manufacturers typically release 12 to 20 percent of inventory value in the first two quarters and take 5 to 10 days out of DSO, with the improvements holding because the parameters are maintained continuously rather than reset once.

Frequently Asked Questions

How do you calculate the cash conversion cycle for a manufacturer?

Cash conversion cycle equals days sales outstanding plus days inventory outstanding minus days payable outstanding. DSO is average receivables divided by revenue times days in the period, DIO is average inventory divided by cost of goods sold times days, and DPO is average payables divided by cost of goods sold or purchases times days. For manufacturers, decompose DIO into raw material, work in process, and finished goods, because each has completely different improvement levers.

What is the fastest way to reduce inventory without hurting service levels?

Recalculate safety stock item by item from actual demand variability and supplier lead time variability instead of applying one blanket service level across the item master. High-variability items usually need more stock than they carry, and stable items need far less. Combined with reviewing lot sizes where carrying cost exceeds the price break, this approach commonly releases 15 to 30 percent of inventory value while improving fill rates rather than degrading them.

Should manufacturers take early payment discounts?

Usually yes, when liquidity permits. A 2 percent discount for paying 20 days early equates to roughly a 36 percent annualized return, which exceeds virtually any alternative use of the cash including revolver interest. The larger and more common problem runs the other way: many manufacturers pay a significant share of invoices before the due date with no discount at all, simply because payment runs are scheduled by convenience rather than aligned to invoice due dates.

Key Takeaways

  • 1Measuring the Cash Conversion Cycle Correctly: Compute DSO as average accounts receivable divided by revenue times days in period, DIO as average inventory divided by cost of goods sold times days, and DPO as average accounts payable divided by cost of goods sold or purchases times days. Two refinements make the number actionable.
  • 2Receivables: Reducing DSO Without Losing Customers: Most DSO improvement comes from process rather than pressure. Invoice accuracy is the biggest single driver: disputed invoices caused by pricing errors, missing purchase order numbers, or incorrect shipping documents commonly add 10 to 20 days to the affected receivables, and they cluster in a small number of customers.
  • 3Inventory: Where the Cash Is Actually Buried: Inventory usually holds the largest recoverable pool, and it is concentrated in places the aggregate number hides. Safety stock set once and never revisited is the most common source, especially where a single global service level was applied across items with wildly different demand variability.

Ask Netray to quantify the cash trapped in your inventory and receivables today, item by item and customer by customer.