2.4x conversion. Half the cost. AI. Not headcount.

2.4x

Conversion improvement

22%

Lead-to-payment rate

~50%

Lower cost per hire

Industry

Quick Commerce

Target role

Delivery partners

Scale

4.25 lakh leads

Volume

9L+ AI calls

Delivery Partner Onboarding

2.4x

Conversion improvement

22%

Lead-to-payment rate

~50%

Lower cost per hire

Screening for

Packing Associates

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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 times 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

  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.


  1. 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.


  1. Inconsistent and low qualification rates

Manual qualification varied by 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.


  1. No ability to scale during peak demand

Festival seasons and city expansions created sudden spikes in hiring demand. Manual teams couldn't flex fast enough, leaving thousands of leads uncontacted during the highest-value windows.


  1. 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 outreach — zero delay

AI qualification — intent + eligibility

Hot handoff to humans in 15 minutes

AI-assisted onboarding completion

Reactivation of dropped-off partners

Multilingual scale — 5 languages

  1. Instant lead outreach — zero delay

    The moment a delivery partner signs up, a Voice AI agent calls them. No queue, no shift dependency. Connection happens within seconds of lead creation — the highest-intent moment.


  2. AI qualification — intent + eligibility

    The agent checks for genuine intent and eligibility criteria upfront, filtering out low-quality leads before they consume any human time. Only high-intent candidates move forward.


  3. Hot handoff to humans in 15 minutes

    High-quality leads flagged by AI are routed to a human agent within 15 minutes. Telecallers spend 100% of their time on pre-qualified, high-intent candidates — not cold prospecting.


  4. AI-assisted onboarding completion

    Voice AI guides partners through onboarding steps — documentation, app setup, first delivery prep — achieving ~80% completion rate, far exceeding app-only nudges.


  5. Reactivation of dropped-off partners

    Partners who stalled mid-funnel are re-engaged automatically via AI outreach. ~63% of drop-off partners are successfully reactivated, recovering supply that would otherwise be permanently lost.


  6. Multilingual scale — 5 languages

    Deployed across Hindi, English, and 3 regional languages. Consistent experience across every city and region, with zero dependency on local hiring for language support.


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.