Case Study: WheelsEye reduces support calls and boosts efficiency with Verloop.io

WheelsEye Leveraged Conversational AI for Unprecedented Efficiency

WheelsEye, a logistics-tech startup, faced the significant challenge of managing a high volume of 5000+ daily support calls from its users, which strained its team of 120 agents. To address this operational bottleneck, they partnered with the vendor Verloop.io to implement an automated conversational AI support system.

Using Verloop.io's platform, WheelsEye integrated a bilingual conversational AI into its mobile app to handle common user queries. The results were substantial, including a reduction in support calls, a 30% bot deflection rate, and a 5% reduction in support costs. The implementation by Verloop.io also dramatically improved first response times to just six seconds and increased agent efficiency, allowing fewer agents to manage more queries.

WheelsEye

Aakash Aggrawal

Product Manager