A 450-outlet global retailer with $2.4B in annual revenue compressed its 14-day close cycle to under 3 days and unlocked $3.2M in previously missed vendor rebates using GenAI-powered finance automation.
This 450-outlet retailer had scaled rapidly through acquisition, leaving it with 28 legal entities spread across NetSuite (North America and APAC) and Workday (EMEA). The month-end close was a 14-day ordeal that consumed the entire finance team every month.
The intercompany elimination process alone took 6 days — spreadsheets were emailed between subsidiaries, reconciliation discrepancies were resolved via phone calls, and the consolidated P&L required 3-4 rounds of correction before the CFO would sign off. The accounting team described it as "controlled chaos every month."
But the silent cost was even larger: the company had negotiated volume-based vendor rebates with its top 200 suppliers — agreements worth a combined $5.2M annually at the contracted thresholds. Because rebate qualification calculations were manual and based on monthly-lagged data, the finance team was systematically failing to qualify for 39% of these rebates. $3.2M was being left on the table every year simply because the data wasn't fast enough.
Flowtaris AI deployed real-time integration connectors for both NetSuite (via SuiteQL REST API) and Workday (via Prism Analytics API). A unified financial data model was constructed — every transaction from all 28 entities flowing into a central intelligence layer with currency normalization and entity-level tagging.
The 6-day intercompany elimination process was rebuilt as an automated real-time workflow. The AI layer continuously matched intercompany transactions across entities, flagging mismatches in real time rather than at month-end. Elimination journals were auto-generated and posted to the consolidation layer, requiring only a final human sign-off on residual exceptions.
The rebate capture failure was addressed with a dedicated AI module. The Rebate Intelligence Engine ingested all 200 vendor rebate contracts, extracted qualification thresholds and measurement periods, and connected them to real-time purchase volume data. When a subsidiary was within 5% of a rebate threshold, an automated alert was sent to the responsible buyer with a recommendation on how to qualify.
Live data streaming from NetSuite and Workday into a unified financial model. Currency normalization, chart of accounts mapping, and entity-level tagging applied automatically. Intercompany matching runs continuously — not just at month-end.
Natural language processing extracts rebate thresholds, qualification periods, and payment terms from vendor contract PDFs. Real-time purchase volume tracking against thresholds with proactive alerts when qualification windows are closing.
Matched intercompany transactions auto-generate elimination journal entries in the consolidation layer. Exceptions routed to the responsible entity controller with pre-populated resolution recommendations.
Real-time close progress tracking for all 28 entities. CFO sees a single view of which entities are reconciled, which have outstanding items, and projected close completion time — updated every 15 minutes throughout the close.
The first full quarter post-deployment delivered results that exceeded all projected targets. The month-end close compression from 14 days to 2.2 days was the headline outcome — but the $3.2M in recaptured vendor rebates represented an unplanned upside that went directly to gross margin improvement.
The CFO noted in the quarterly review that the quality of financial data had fundamentally changed: "For the first time, I'm making pricing and inventory decisions based on data that's hours old, not weeks old. That's a competitive advantage that doesn't show up in a simple ROI calculation."
"We were leaving $3.2M on the table every year and didn't even know it. The rebate intelligence was the surprise — we expected the close compression. What we didn't expect was that real-time data would unlock a completely different way to manage procurement. We now optimize purchase timing around rebate qualification windows. That's a capability we simply didn't have before."
