Industries
Payment terms, dispute patterns, order volumes and customer expectations differ by sector. Surepayd adapts to yours: the same platform, configured to the way your business trades.
Figures from Surepayd client business cases, modelled on the conservative case rather than the expected one. Your numbers depend on your book, your terms and your team.
Trusted by enterprise businesses across ANZ. More than $1B in receivables a year, across millions of transactions a month.
By sector
The reason cash moves slowly is rarely the same twice. Here is what it looks like in the industries we work in most.
High volume, thin margins, and a long tail of trade customers who all pay differently.
Salons, pharmacies, grocery, independents, each with their own terms, portals and dispute habits. Surepayd standardises collections and cash application across the whole debtor book without flattening the relationships your sales team spent years building.
L'Oréal: –30% DSO, –85% inbound calls
L'Oréal · Revlon · Wella · Kao · New Balance
Impact
–30%
DSO
FMCG · Australia
Six years in. Now expanding across 15 countries.
L'Oréal Australia was running manual cash application and reactive collections across salons, pharmacies and clinics. AI cash matching, automated engagement and a self-service portal replaced the manual work, and the results held long enough to become the template for L'Oréal's APAC rollout.
93%
Dispute reduction
Multi-site operations · ANZ
From 1,600+ open disputes a month to under 100.
A national operator delivering services across hundreds of sites was managing disputes entirely in email, with no central system, no resolution timeline and no visibility. Surepayd's AI dispute module classified, routed and tracked every case, cutting resolution from over 12 months to 4 to 8 weeks and returning five roles to other work.
98%+
Match rate
Technology · New Zealand
Ranked #1 cash matching system across 20 years of internal audit.
Ricoh New Zealand's finance team spent most of every day on bank reconciliation. Surepayd's AI cash matching took it down to minutes, and the accuracy earned the top ranking in Ricoh's own performance audits.
It probably still applies. The working capital problem is more similar across sectors than most finance teams expect, and 30 minutes is usually enough to find out.
