Growing pains bring a need for change
As Favor Delivery grew, so did the number of chargebacks they were experiencing. Favor Delivery was looking to scale across Texas, but was hindered by the fear of increasing an already high chargeback rate. The number of users creating fraudulent accounts was growing and account takeover (ATO) attempts were becoming more frequent, but Favor Delivery didn’t have a machine learning tool to highlight events quickly. Instead, they were using their internal heuristic system to manually search for fraud, which wasn’t scalable and couldn’t keep up with the volume of incoming orders. They needed a proactive solution that could automate and keep them ahead of fraud—not struggling to keep up with it.