The Challenge
The client relies on a constant, high-volume pipeline of last-mile delivery riders to keep operations running across its busiest tier-1 cities. As demand for delivery riders surged, the existing hiring process struggled to keep pace.
Sourcing and qualifying candidates depended heavily on manual telecalling. Recruiters were spending the bulk of their time on repetitive, low-value conversations, verifying basic eligibility, explaining the role, and screening for intent, before a candidate could even move to onboarding. This manual overload directly inflated time-to-hire in the client’s select tier-1 cities, the very markets where delivery capacity mattered most and where any hiring lag translated into missed fulfillment SLAs.
The client needed a way to qualify and activate riders faster, without simply adding more recruiters to the phones.
The Vahan.ai Solution
Vahan deployed its end-to-end AI Recruiter, a combined voice and chat bot, to take over the candidate qualification and onboarding journey for last-mile delivery hiring in the client’s key tier-1 cities.
• Automated first-line engagement: every inbound and sourced candidate was greeted, screened, and qualified by the AI voice/chat bot instead of waiting in a manual telecalling queue.
• Consistent, always-on qualification: the AI recruiter handled eligibility checks, role explanation, and intent screening at scale, any time of day, removing bottlenecks caused by recruiter bandwidth.
• Human effort redirected to high-value work: by taking repetitive screening off recruiters’ plates, the client’s team could focus on edge cases and closing, rather than volume calling.
• End-to-end coverage: the same AI layer carried qualified candidates through to onboarding, creating a seamless handoff from first contact to activation.
The result was a hiring engine that could absorb tier-1 city demand spikes without a proportional increase in manual recruiter effort.
The Impact
With Vahan’s AI Recruiter live across its priority tier-1 markets, the client saw a step-change in both hiring speed and recruiter efficiency: riders were onboarded and activated at 2X the speed of the prior manual process, directly reducing time-to-hire in the cities that mattered most to the client’s delivery capacity.
At the same time, calling productivity effectively doubled. The same recruiting effort now qualified twice as many candidates, since the AI recruiter absorbed the repetitive, high-volume screening work end to end. Qualification was handled 100% by AI, with zero manual telecalling load.
