Case Study: Public Rec achieves 99.5% order-to-cash accuracy with Blue Onion

How Public Rec Achieves 99.5% Order-to-Cash Accuracy with Blue Onion

Public Rec, a digitally-native men’s athleisure brand, faced costly, time-consuming manual reconciliations and relied on an external accounting firm to manage multi-platform payment, banking, and ERP data. To bring operations in-house and scale efficiently, Public Rec selected Blue Onion’s machine-learning order-to-cash reconciliation platform to replace manual processes and integrate their payments, Shopify, bank, and NetSuite data.

Blue Onion implemented proprietary algorithms and direct connectors to auto-detect, clean, match, and push transactions from order to bank payout, eliminating manual data entry and enabling transaction-level reporting. The result: 99.5% order-to-cash accuracy, at least 10 hours saved per month on refunds and sales reporting, automated loading of 260,000+ transactions a year into NetSuite, faster discrepancy identification, and smoother deferred revenue reconciliation — all delivered by Blue Onion.

Public Rec

Brad Schroeder

Finance Director