EV Brand Case Study

Automating Lead Execution for an Emerging EV Scooter Brand

I built an automated lead-routing system for MetaEV, an emerging 2-wheeler EV scooter brand in Nepal, that generated NPR 600,000+ in closed revenue from a $400 marketing budget, cutting lead response time from hours to under 30 seconds.

This case study examines the overhaul of a lead follow-up system using a connected reporting system to integrate AI-assisted automation.

Last updated: July 2026

Task Completion

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Lead Retention

100%shield

Value Generated

600K+NPR

Marketing Budget

$400account_balance_wallet
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The Challenge: Losing Customers to Waiting

Imagine a bustling store where hundreds of potential customers walk in every hour, but there's only one person at the front desk writing down their names on paper. That was the reality for our client, MetaEV, an emerging 2-wheeler EV scooter brand. They were capturing valuable leads across Facebook, LinkedIn, Google, and their own website, but processing them was entirely manual.

The core problem was human delay. It took hours, sometimes days, for a lead to be reviewed, sorted, and handed to a salesperson. In today's fast-paced world, if you aren't responding in minutes, your customer has already moved on to a competitor.

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Slow, manual handling meant the company was losing massive amounts of "Hot" leads simply because they couldn't respond fast enough.

timerThe Latency Benchmark

Automated AI RoutingUnder 30 Seconds
Manual Human RoutingHours or Days (Lost Sales)
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The Solution: Automated Enquiry Handling

We built an automated system that works 24/7. It instantly catches new leads, reads their intent, and routes them to the exact right place without a single second of human delay.

Full-Funnel Tracking
Workflow
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1. The Central Hub

No more scattered spreadsheets. Our custom system instantly catches a lead the millisecond they hit "Submit" on a Facebook ad, LinkedIn, or the official www.metaevnepal.com website (which I developed and directly integrated).

Instant CaptureAll Platforms

psychology2. AI Lead Sorting

Think of this as an AI assistant reading the customer's mind. It reviews the lead's information and instantly decides: Are they Hot (ready to buy), Warm (interested), or Cold (browsing)?

New Lead
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AI Decides Intent
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Sorts & Grades

3. Instant Action

What happens next is automatic. "Cold" leads are put on an email list for nurturing. "Hot" leads? The system instantly texts, emails, or Slacks the best-performing salesperson while automatically saving the lead's profile into the main database.

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Hot Lead

INSTANT
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Sales Alert

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How We Built It For Success

To ensure the new system actually helped the sales team (instead of confusing them), we followed a simple, practical approach to rolling it out.

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1. The Blueprint

Mapping exactly where leads come from and mapping out the perfect response journey for each type.

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2. AI Training

Teaching the AI the specific difference between a 'ready to buy' lead and a 'just looking' lead for their business.

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3. Integration

Plugging the new automated system securely into existing databases, company chat tools, and the custom www.metaevnepal.com frontend.

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4. Live Action

Turning it on and ensuring sales reps got instant, high-quality notifications without lifting a finger.

Zero Lost Leads, More Closed Deals

By putting this automated "digital receptionist" in place, we eliminated human error and delay. Every single person who shows interest gets exactly what they need, instantly.

The sales team stopped wasting time sorting through bad leads or slow spreadsheets, and started focusing entirely on people who were ready to buy. The result? A lead-to-close tracking system, and a realistic generation of 600K+ NPR secured with only a $400 marketing budget.

Conclusion Snapshot
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From Reactive to AI Leader

Automated execution as a prerequisite for survival.

Saugat Sankar

Saugat Sankar

Head of Operations

RAI Compliant