Case Study: Robocash cuts manual review costs with SEON

Robocash cuts manual review costs with SEON's email and phone analysis

Robocash, a leading P2P lending platform operating in underbanked markets, faced the challenge of high costs associated with manually reviewing customer data for credit risk scoring. To automate this process and better assess creditworthiness, they turned to SEON's digital footprint analysis services, which include email and phone intelligence.

By implementing SEON's solution, Robocash automated its manual review process, leveraging the vendor's analysis of digital and social footprints to underwrite risk. This use of alternative data allowed SEON to help Robocash significantly cut down on manual review costs and improve their credit risk scoring.

Robocash