BRIEF

A leading last-mile delivery platform faced persistent inefficiencies in converting interested leads into active delivery partners. Manual telecalling was proving costly and ineffective — especially given the high volume of incoming leads, many of which never picked up or dropped off midway.

To streamline the funnel and reduce human effort, the company deployed Hunar's AI Voice Agent, Neha, as the first touchpoint with potential partners. Neha autonomously initiated conversations, delivered job pitches, and nudged candidates to complete onboarding by paying their registration fee.

This case study explores how the AI-led process achieved 4x faster lead engagement and helped the human sales team focus on high-intent candidates.

PROCESS OVERVIEW

Before AI Integration

The client generated delivery partner leads via app downloads, referrals, and marketing campaigns.
Human telecallers would then:

• Reach out to each lead

• Pitch the job and explain next steps

• Handle queries, objections, and app-related issues

• Encourage fee payment to complete onboarding
  
  
  

Challenges in this approach:

• Inconsistent messaging: Each human caller had a different pitch and quality of delivery.

• High operational cost: Over 70% of calls led nowhere, either due to disinterest or no response.

• Delayed follow-up: Timing gaps between interest and conversion often led to drop-offs.
  
  
  

After AI Integration – Hunar’s Voice Agent Neha

Hunar's conversational AI, Neha, was integrated as the first layer of outreach.

Neha autonomously:

• Delivered a consistent job pitch

• Filtered uninterested leads

• Nudged interested users toward fee payment

• Re-engaged leads with multiple attempts across time slots

• Directed special cases (e.g. reactivations or app issues) to human or support follow-up
  
  
  

Only warm, engaged leads were then passed to human teams, resulting in focused follow-ups and higher conversion potential.

STRATEGIC IMPACT

The introduction of Neha transformed the partner onboarding funnel:

• Human callers now focused only on high-intent leads, making their time significantly more effective.

• The AI system ensured no lead was lost due to timing, call fatigue, or slow follow-up.

• Candidates interacted with Neha multiple times until they were ready to take action — creating a warm pipeline.
  
  
  

RESULTS ACHIEVED

Engagement Funnel

Call Duration Insights

• Uninterested Candidates: Avg. 44 sec

• Interested Candidates: Avg. 67 sec

• Converted (Paid) Candidates: Avg. 70 sec
  
  
  

This correlation became a powerful signal for identifying genuine interest early in the funnel.

BUSINESS OUTCOME

• 60%+ reduction in wasted manual effort on uninterested leads

• 5.74% payment conversion from a cold lead base — driven entirely by AI first-touch

• Clear pipeline visibility enabled proactive follow-up by human teams

The AI-led process was not just more efficient, but more intelligent, ensuring the right leads received the right nudges at the right time.