Trebu helps logistics companies to reliably detect and structure incoming sales orders by scanning and interpreting the thousands of incoming Whatsapp messages and emails they receive every day. For example, we help a logistics broker to double the amount of daily reported shipment requests by automatically detecting messages asking for a shipping service and transferring the details into a structured database.
- High default rates make it harder to build sustainable lending companies without relying on increasing interest rates.
- High interest rates lead to low retention.
- Many of the same borrowers who are defaulting with one lending company, are also defaulting with others.
- Borrowers are taking out multiple loans from various lenders in order to repay other loans.
- Borrowers take out loans to repay other loans and get larger loan amounts, which leads to customer indebtedness.
What is our solution?
Backstory
After giving over 2 million loans as the general managers of Tala and Branch in Mexico, Daniel and Fran realized that many of the same borrowers who were defaulting with one company were also defaulting with the other, shedding light on the high risk of the market. Using the existing alternatives to underwrite is not enough as they are expensive and data is not recent enough to detect common risks. To change this, they partnered with Antonio to build Trebu.
Asks
Intros to anyone in risk and credit teams!! Head of Risk, Chief Risk Officer, VP of Risk of digital lending companies.
Offer
If you are launching a lending product in Mexico we are happy to help you.
Let's fight fraud and default: www.trebu.io