The Cash Flow Fix Hiding in Your Operations Data

Somewhere between the dock and the invoice, a percentage of your revenue quietly disappears. Most supply chain leaders assume that’s finance’s problem to solve, but a better approach is to take a hard look at your operations data first. 

While tariff volatility squeezes margins and labor and input costs keep climbing, cash flow has become one of the few levers companies can still control. Yet many have leaks they never thought to look for — in the operational systems that run their networks, long before finance ever creates an invoice.

Supply chain revenue comes from a stream of events across the fulfillment lifecycle, including mileage and accessorials in transportation, storage and handling fees in the warehouse, pick-and-pack charges in fulfillment, detention and demurrage at the yard or port, and usage-based fees on shared logistics platforms.

Each of those events originates in an operational system such as a TMS, WMS, or yard or dock management platform. A good example is a trailer that sits in the yard past its free time. That’s a billable detention event. But if the yard system isn’t connected to billing, the charge might never reach an invoice. Nobody made an error, and nothing looks broken, but the revenue never showed up.

This is why leakage is so hard to spot. Missed events don’t generate exceptions, disputes, or alerts. The work was done, the margin was spent, and the money was never billed. 

MGI Research found that revenue leakage typically represents at least 3% to 5% of a company’s revenue across industries. In transportation and logistics, where billing depends on capturing dozens of variable, event-based charges per shipment, the exposure is higher. Annual revenue leakage can total up to 7% when event capture depends on manual handoffs.

Event capture is only half the problem. The other half is what those events are supposed to be billed against. Supply chain contracts have grown far more layered than a simple rate card. 

A third-party logistics agreement might bundle warehousing, transportation and value-added services under a single customer relationship, each with its own pricing logic. A distribution agreement might combine a flat storage rate with SKU-based handling fees, seasonal surcharges and volume tiers, and a logistics technology offering might include a monthly subscription with per-shipment usage charges.

Billing any of these scenarios correctly requires a shared, accurate picture of what was actually delivered, when, and under which terms. When operations, contracts, and billing each hold a different piece of that picture, this results in late, incomplete or wrong invoices. Disputes follow, and operations teams are pulled into time-consuming research and documentation work that has nothing to do with moving freight.

Fragmented operational data means slower billing cycles, more disputes and revenue leakage that’s easy to miss and harder to recover. Together, these realities directly impact working capital and days sales outstanding.

There are also costly compliance challenges. Revenue recognition standards require a clear, traceable link between what happened operationally and what gets recorded financially. But for most supply chain leaders, the more immediate risk isn’t an audit finding. It’s cash that’s harder to predict and margin that’s harder to protect. 

In an environment where companies can’t control tariffs or labor markets, forecasting cash flow with confidence is a competitive advantage.

Closing gaps between your operational data and billing doesn’t require ripping out existing systems, and many fixes no longer need manual review or added headcount. It starts with three practical steps:

Audit where events get lost. Trace the path of billable events from when they occur to when they appear on an invoice. Most organizations find the losses cluster at a small number of handoffs, such as between systems, teams or an operational record and billing schedule. The audit doesn’t have to be a one-time, manual exercise. Artificial intelligence  agents can continuously trace events and flag anomalies before they compound.

Map bundled contract terms. Identify which customer agreements combine multiple billable elements, and confirm that each one is actually being captured, rated and billed as the contract states. Conditional charges that only apply under certain circumstances are a common culprit. Those terms are most likely to be missed when contract logic lives in a PDF or, worse, someone’s memory rather than in the billing process. AI agents can also help here, applying terms consistently across thousands of transactions.

Reduce manual reconciliation between operational and financial systems. Every spreadsheet, re-keyed record and e-mail chain between operations and finance is a place where events get delayed or dropped. Connecting these systems so that events flow into rating and invoicing automatically shortens billing cycles and removes a major source of disputes. Different billing models suit different revenue patterns, and event-driven, usage-based charges call for a different approach than a traditional order-based enterprise resource planning process. AI can take up some of the heavy lifting, not just flagging discrepancies but resolving some of the more routine ones and escalating others for human judgment.

Supply chain leaders don’t need to become accountants. But your cash flow will improve when you recognize that your operational data, wherever it originates in the network, is now the first input into how much revenue your company collects and how fast.

Instead of adding headcount to chase down every missed charge, organizations moving fastest on this are deploying AI agents that watch this data continuously to catch leakage in days, not in a quarterly review.

Treating operational data as a strategic asset, rather than an operational record that finance cleans up later, is becoming a competitive necessity. Supply chain leaders who start by looking at how their own events become invoices will likely find the answer to a cash flow problem they assumed belonged somewhere else.

Nishant Nair is chief executive officer and founder of Recvue.