Discount leakage
Discounts above policy or approved band, discounts applied without authorisation, and cumulative discounting that erodes contracted margin.
RISK COVERAGE
Revenue leakage is money you already earned and never collected. These analytics find it in the billing and credit data you already have.
Order-to-cash leakage is harder to see than cost leakage because nothing leaves the bank. Revenue simply never arrives. A discount exceeds policy. A shipment is delivered but never invoiced. A credit note is issued twice for the same dispute.
foretale.ai tests the full order-to-cash chain — order, delivery, invoice, credit, and receipt — for the gaps where earned revenue is lost or given away.
WHAT WE DETECT
Discounts above policy or approved band, discounts applied without authorisation, and cumulative discounting that erodes contracted margin.
Goods delivered or services rendered with no corresponding invoice, quantity billed below quantity shipped, and contract escalations never applied.
Prices inconsistent with contract or price master, incorrect tax treatment, and duplicate invoice lines.
Credits issued more than once for the same dispute, credits without documented approval, and credits issued near period end.
Ageing concentration, customers exceeding credit limits, repeated payment term extensions, and write-offs lacking approval.
Receipts never matched to invoices, on-account balances that persist across periods, and misapplied payments.
HOW IT RUNS
foretale.ai maps your data and relationships, plans the analytics for this domain, tests the full population, and returns findings with evidence attached. Your team keeps every judgement.
DATA USED
Revenue leakage is earned revenue that a business never collects because of process or control failure rather than customer default. Common causes are unbilled deliveries, discounts applied beyond policy, contract price escalations never implemented, duplicate credit notes, and cash received but never applied to an invoice.
By reconciling delivery and shipment records against customer invoices over the same period. Deliveries with no matching invoice line, or with a billed quantity lower than the shipped quantity, are the direct signal. Testing the full population rather than a sample is important, because individual gaps are small and easy to miss.
Yes. Approved discount bands and policy documents can be provided as context, and analytics then test invoiced discounts against them. This is a common situation, because commercial policy often lives outside the transactional system.
No. Ageing reports show where balances sit; these analytics explain why. They test whether credit limits were respected, whether terms were extended without approval, whether credits were legitimate, and whether receipts were correctly applied.
NEXT STEP
Request a focused walkthrough—usually within one business day.