Quick Commerce Platform Transforms Partner Acquisition with AI Voice Agents
2.4x
Conversion improvement
22%
Lead-to-payment rate
~50%
Lower cost per hire
Industry
Quick Commerce
Target role
Delivery partners
Scale
~45% to payment
Volume
Delivery Partner Onboarding
2.4x
Conversion improvement
22%
Lead-to-payment rate
~50%
Lower cost per hire
Screening for
Packing Associates
Quick Commerce Platform Transforms Partner Acquisition with AI Voice Agents
A leading quick commerce platform in India needed to scale delivery partner onboarding rapidly across cities.
However, heavy dependence on large telecalling teams led to:
High operational costs
Slow lead response times
Inefficient qualification
By deploying Hunar's Voice AI Agents, the platform transformed its entire onboarding funnel from lead qualification to activation, achieving higher conversions, faster onboarding, and significant cost savings.
The core problem
Slow lead response time meant candidates moved on. Manual teams couldn't scale during peak demand. Conversion rates of just 8–10% made the cost per hire unsustainable.
The outcome
Voice AI agents call every lead instantly post sign-up. Conversion jumped to 22%. Projected annual payroll cost halved from ₹130 Cr to ₹60–70 Cr.
The challenges
Challenge #1
Massive telecalling spend with low ROI
Challenge #2
Delayed response to inbound leads
Challenge #3
Inconsistent and low qualification rates
Challenge #4
No ability to scale during peak demand
Challenge #5
High drop-off — no reactivation strategy
Massive telecalling spend with low ROI
₹120–130 Cr spent annually on 3,000–4,000 telecalling agents. Despite the scale, conversion rates were stuck at 8–10% — making the cost per hire economically unsustainable.
Delayed response to inbound leads
Inbound leads waited hours or days before a telecaller could reach them. By that time, intent had dropped — or the partner had signed up with a competitor. Every delay was a direct revenue loss.
Inconsistent and low qualification rates
Manual qualification varied by human agent, shift, and city. There was no consistent bar — leading to high-intent leads being missed and low-quality leads being passed to onboarding teams, wasting downstream effort.
No ability to scale during peak demand
Festival seasons and city expansions created sudden spikes in hiring demand. Manual teams couldn't scale fast enough, leaving thousands of leads uncontacted during the highest-value windows.
High drop-off — no reactivation strategy
Partners who dropped out mid-funnel were effectively lost. There was no systematic process to re-engage lapsed leads, leaving a significant pool of pre-qualified supply permanently inactive.
Solution
Instant Lead Engagement
AI-Driven Candidate Qualification
Accelerated Human Handoff
AI-assisted onboarding completion
Reactivation of Funnel Drop-Offs
Multilingual Engagement across 5 languages
Instant Lead Engagement
The moment a delivery partner registers, a Voice AI agent initiates outreach immediately, eliminating operational delays and shift dependencies. Engagement occurs within seconds of lead creation, ensuring interaction at the highest-intent stage of the funnel.
Voice AI-Driven Candidate Qualification
The Voice AI agent evaluates both candidate intent and predefined eligibility criteria at the outset, filtering out low-fit applicants before they enter the recruitment workflow. Only qualified, high-intent candidates progress further in the process.
Accelerated Human Handoff
High-potential candidates identified by Voice AI agents are routed to human recruiters within few minutes for further engagement. This enables telecalling teams to focus exclusively on pre-qualified, high-intent candidates, maximizing recruiter productivity and conversion efficiency.
Voice AI-Assisted Onboarding Enablement
Voice AI supports delivery partners through key onboarding milestones, including documentation, application setup, and readiness for first delivery. This structured guidance drives onboarding completion rates of approximately 80%, significantly outperforming app-only engagement workflows.
Automated Reactivation of Funnel Drop-Offs
Candidates who disengage during the onboarding or hiring journey are proactively re-engaged through automated Voice AI outreach. Approximately 63% of previously dropped-off candidates are successfully reactivated, helping recover workforce supply that would otherwise be lost.
Multilingual Engagement across 5 languages
The solution operates across Hindi, English, and three regional languages, enabling a consistent candidate experience across geographies. This reduces dependency on local language hiring while ensuring standardized engagement quality across markets.
Manual telecalling achieved just 8–10% lead-to-payment conversion — weighed down by delayed outreach and inconsistent qualification. Hunar.AI Voice Agents call every lead instantly, filter for intent, and route only high-quality leads to humans, pushing conversion to 22% — a 2.4x improvement in funnel efficiency.
Maintaining 3,000–4,000 telecallers cost ₹120–130 Cr annually — a fixed overhead regardless of lead volume or conversion outcomes. Hunar.AI replaces the bulk of this with scalable Voice AI, projecting the annual spend down to ₹60–70 Cr — roughly half — while handling far greater lead volumes.
Across every stage of the delivery partner funnel — from initial connection through to payment completion and reactivation — Hunar.AI outperforms the manual process. The most dramatic gains are in speed-of-connection (instant vs hours) and reactivation of dropped-off partners, where the AI's persistent, consistent outreach achieves results no human team could sustain at scale.
