Quick Commerce Platform Transforms Partner Acquisition with AI Voice Agents

2.4x

Conversion improvement

22%

Lead-to-payment rate

~50%

Lower cost per hire

Quick Commerce Platform Transforms Partner Acquisition with AI Voice Agents

2.4x

Conversion improvement

22%

Lead-to-payment rate

~50%

Lower cost per hire

Customer story

Delivery Partner Onboarding

2.4x

Conversion improvement

22%

Lead-to-payment rate

~50%

Lower cost per hire

Overview

Quick Commerce Platform Transforms Partner Acquisition withAI 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.

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.

Challenges

  1. 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.


  2. 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.


  3. 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.


  4. 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.


  5. 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.


Solutions

  1. 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.


  2. 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.


  3. 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.


  4. 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.


  5. 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.


  6. 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.

2.4x

Conversion improvement

22%

Lead-to-payment rate

~50%

Lower cost per hire

Ready to manage your workforce better?

Turn conversations into better workforce outcomes.

Turn conversations into better workforce outcomes.

Bluejay Worktech Pvt. Ltd

contact@hunar.ai

CIN: U72200HR2021PTC100129

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