Case Study: Hello Molly eliminates manual reviews and achieves 99.7% approvals with Forter

Hello Molly Says "Goodbye" to Manual Reviews, Thanks to Forter

Hello Molly, a Sydney-based online women's fashion retailer, was struggling with legacy fraud-prevention processes that caused costly manual reviews, delayed order fulfillment, and friction in the customer journey. Seeking a partner that wouldn’t increase operational costs or slow decisions, Hello Molly turned to Forter and its fully automated, machine-learning fraud prevention solution.

Forter implemented instant, automated decisioning across every touchpoint—providing sub-second approve/decline decisions and continuously tuned ML models—eliminating lengthy manual review queues and reducing operational burden. The Forter solution delivered 100% instant decisioning, a 99.7% approval rate and a 0.06% chargeback rate, markedly increasing approvals while keeping fraud losses and manual reviews down.

Hello Molly

Ena Eaton

Operations Manager