Transforming Franchise Operations with Drone Technology & Machine Learning

Full Time VP of Product & UX • Short Term Engagement

Company:

PE-Backed Home Services Franchise

Scale:

$4B+ revenue • 5,500 locations

Role:

VP of Product & UX

Duration:

4 months

Authority:

Vision, roadmap, execution

Primary Goal:

Adoption + revenue growth

Executive Summary

A PE-backed franchisor faced platform resistance, unsafe manual inspections, and stalled cross-sell across 30+ brands. this engagement turned inspections into a scalable, AI-powered growth engine.

The Challange

  • Franchise owner NPS near -20

  • Manual, ladder-based inspections capped throughout

  • No structured defect data to drive cross-sell

The Approach

Through field immersion, platform audits, and pilot-driven execution, a drone + ML inspection system was designed and integrated into core workflows.

Results

Modeled Financial Impact

$2.1M+ modeled anual royalty uplift with an estimated ≥3.5x ROI on leadership investment.

Outcomes & Impacted (Executed)

Metric
Result
After
Inspections / week
10
14.9
Inspection time
3hrs
1.8hrs
NPS
-20
+52

Related Publication

This case study was later expanded into a published article for senior executives, detailing the strategic and operational lessons behind the transformation.

Published Article:

CSuiteBrief • Executive Leadership Publication

Book a conversation with Adam M. Root

If you’re facing stockouts, demand volatility, or fragmented operational visibility, book a call to discuss how this operating model can be applied to your business