Case · Distribution · Veterinary products distributor
The 30 big debtors got called. The 400 small ones added up to more, and nobody called them.
The system takes invoices from the ERP, reminds before the due date and follows up at 3, 10 and 20 days. It escalates to a person only what needs a conversation.
Sample data This case is built with sample data until the client's written permission exists. Real numbers get published with name, period and method.
58 → 39
days to collect
How it was measured Invoices issued March–May against June–August 2026, same type of customer, from invoice date to collection date.
The context
the Litoral region · 20 people · 520 customers · 1,400 invoices a month · one person in administration made 30 calls a day, always to the same customers, from a spreadsheet built by hand from the ERP every Monday.
Integrated with ERP · WhatsApp · email · bank statement.
The capability Collections
- 01
What we found
ARS 96 million was overdue more than 30 days. 68% of it was in invoices under $400,000, which never made the call sheet because the call wasn't worth it. Many of those customers weren't paying because nobody had sent them the invoice, not because they didn't want to.
- 02
What we built
The system takes invoices from the ERP. Three days before the due date it sends a WhatsApp reminder with the amount and payment details. If it isn't paid, it follows up at 3, 10 and 20 days, with the invoice attached. It escalates to a person in three cases only: more than ARS 1 million, two messages with no reply, or a broken payment promise. The person decides what to do with those.
How it works
- 03
What happened
Invoices overdue more than 30 days: from 27% to 12% of the total. Customers followed up: from 30 to 520. The collections person now handles 40 cases a month, the ones that need a conversation, instead of 30 calls a day.
written permission from the client: name, number, period, quote
Other cases
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- Manufacturing · Food processing plant 15% of invoices got checked against their purchase order. The rest got paid on trust. See the full case
- Wholesale distribution · Wholesale distributor of cleaning products Four out of ten orders arrived after 6pm. Now they load on their own. See the full case
- Distribution · Distributor of food-service supplies Nobody knew which customer was slipping away until they were already gone. See the full case
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