Redefining receivables lending in B2B
TP24 provides working capital solutions for B2B companies generating at least 1 million in revenue. The company offers lines of credit from a quarter to 5 million in local currency, based on the value of a business’s outstanding receivables and its trading history with buyers.
Manual assessments created inefficiency and risk
Before Codat, TP24 relied on a manual process to assess clients’ receivables data. The team had to reformat each file so it could be used by their decisioning platform, and repeat the same work every week to track changes once a client was onboarded. This created a heavy operational burden and tied up significant internal resources.
On top of being incredibly time-consuming, the process also created operational risk, with inconsistent client data leaving TP24 exposed to both accidental errors and potential manipulation.
Automating data access and receivables processing through Codat
With Codat, TP24 removed the need for manual receivables file transformations, lowering the cost to serve customers and enabling automation across large parts of the lending process.
With broad coverage across cloud accounting platforms in TP24’s target markets and robust APIs, Codat enabled TP24 to implement technical changes faster than building and maintaining those integrations in-house.
Faster lending decisions with lower operational cost
By removing manual receivables processing, TP24 streamlined internal operations and reduced operational risk. Automation through Codat also created a smoother client experience and helped the team keep pace with market expectations for faster application journeys and shorter “time to yes”.
As a result, TP24 is also able to price customers who connect via Codat differently, reflecting the substantial reduction in overhead expenses.
Key Results
- Eliminated 40 hours of weekly data processing
- Reduced cost to serve customers by removing manual data transformation
- Improved consistency and quality of data used for lending assessments
- Reduced exposure to fraudulent or accidental data manipulation
- Supported faster application experiences by reducing “time to yes”