How AB InBev, the world's largest brewer, surfaced over $20M in procurement and payables value across a global operation that already believed its controls were strong.
| Dimension | Details |
|---|---|
| Manufacturing Problem | AB InBev — the world's largest brewer — running a global procurement operation across thousands of vendors, multiple currencies, and markets on every continent. |
| Visibility Gap | Value sat where automated controls don't look: near-duplicate payments that aren't exact matches, vendor credits stranded in inboxes, volume discounts buried in contracts, and currency mismatches at booking. |
| Outcome | $20M+ in P&L impact identified across the global rollout, with $3.6M+ in itemized recoveries validated and process fixes embedded from $11.6B+ in spend analyzed. |
AB InBev is the world's largest brewer, with Budweiser, Corona, and Stella Artois sold across 150+ markets and $11.6B+ in procurement spend spanning ingredients, packaging, logistics, and indirect spend.
High volume of:
Complex environment combining:
This was not an organization with weak controls. AB InBev runs mature procurement systems, automated payment controls, and disciplined finance teams across every market. The problem was structural: automated controls are built to catch exact matches and known exceptions — not the near-misses that look legitimate on every individual line. Even within a limited dataset of 8 vendors, these inconsistencies translated into measurable financial impact.
At this scale and across this many currencies, the leakage hid in transactions that each looked valid in isolation. The same invoice booked twice under slightly different references. A credit issued by a vendor but never routed to the team that books it. A volume discount earned under a contract clause no one revisited. An invoice booked and paid in a stronger currency than the one it was issued in.
Each control worked correctly in isolation. What was missing was the ability to reconcile, across the full population and every currency, what was agreed and owed against what was actually paid.
Once vendor, payment, and contract data were analyzed together across the full population — not a sample — and across every currency, recurring value patterns emerged. Four representative scenarios show how the value was found.
The same invoice paid more than once — booked twice under transposed numbers, split across two vendor accounts, or charged to the wrong vendor entirely. Because the entries aren't exact matches, automated duplicate-detection reads them as distinct and lets them through.
How it leaks:
Beyond this primary pattern, additional scenarios surfaced — each repeatable, each missed by conventional AP audit:
Vendor credits for overpayments, pricing, and returns sitting in inboxes and on statements, never booked. Recovered through direct vendor-statement outreach.
Contractual volume-discount clauses earned but never billed back — buried in vendor contracts and email, never reconciled to actual purchase volume.
Invoices booked and settled in a stronger currency than issued; credits deducted in a weaker one — driving systematic overpayment and under-deduction.
Discover Dollar did not start by looking for "errors." It started by restoring commercial context to retail financial execution.
Manufacturing data across purchase orders, goods receipts, advance-payment ledgers, FX records, invoices, and payments was securely connected without disrupting existing ERP, Ariba, or AP workflows.
Natural language processing analyzed master data, agreements, and posting metadata to understand what was actually authorized — not just what processed through systems.
Authorized commercial terms — unit costs, advance settlements, FX rates, and receipt states — were systematically compared against invoices and payments to identify where automated execution diverged from economic intent.
Mismatches with real margin or P&L impact were surfaced — prioritized by materiality, not volume — enabling AP, controlling, and procurement teams to focus on what truly mattered.
Once validated, these signals became part of an ongoing visibility layer, allowing finance and AP teams to detect and address leakage continuously, not retrospectively.
| Metric | Value |
|---|---|
| Total P&L Impact | $20M+ identified across the global rollout |
| Itemized Recoveries | $3.6M+ validated across four representative claim types |
| Spend Analyzed | $11.6B+ in procurement spend evaluated |
| Primary Driver | $1.94M — Duplicate & wrong-vendor payments |
| Global Reach | Expanded across Europe, North America, Africa & Latin America |
| Method | Full-population analysis across every vendor account and currency — not sampling |
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