AI Revenue Recovery Engine for a ~$200M Luxury RV Dealer
$200M Luxury RV Dealer
Business Situation
A luxury recreational-vehicle dealership in the $200M annual revenue range, selling high-consideration units on long research cycles, holding an 18,000-contact database and over 1,000 new leads a month.
The Challenge
An 18,000-contact database carried no predictive scoring, and 1,000+ monthly leads were qualified by hand, so customers ready to buy were indistinguishable from cold ones. Purchase windows closed unworked every month.
Why It Matters
Compose built the AI Revenue Recovery Engine: an ML lifecycle-scoring model ranking contacts by probability of buying now, NLP classification extracting intent from inbound lead text, an AI agent running personalized multi-channel outreach against the ranked list, and automated routing matching each prospect to a best-fit specialist.
What Compose Delivered
- ML lifecycle scoring model ranking all 18,000 contacts by buy intent
- NLP classification extracting intent signals from inbound lead text
- AI agent running personalized multi-channel outreach at scale
- Automated routing matching prospects to sales specialists by fit
- Contact-database consolidation and enrichment pipeline
- HubSpot CRM integration wiring lead scores into the sales workflow
- Sales-team training and change management on the scored queue