Case Study: Flatpay boosts SDR productivity by 15% with Kernel Ai

Flatpay uses Kernel agents to research small merchants at massive scale

Flatpay, a company providing payment solutions to small brick-and-mortar merchants, faced a significant inefficiency. Their sales representatives were spending a large amount of time contacting merchants, only to discover later that many were too small to be viable customers, as there was no automated way to pre-qualify and disqualify leads from their lists.

Kernel Ai solved this by implementing agents to automatically research hundreds of thousands of merchants. The solution combined structured and unstructured data to estimate a merchant's total payment volume and accurately disqualify those that were too small before a sales call was made. This resulted in a 15% boost in sales rep productivity for Flatpay and an estimated revenue impact of $1 million, while maintaining a remarkably low error rate of just 1.2%.

Flatpay

Jacob Poulsen

Head of Marketing Expansion