From lead capture to qualified prospect.
Fully automated. Infinitely scalable.
AI conversations that feel human. RAG powered responses grounded in company data. Managers only see qualified leads ready to close.
Car dealerships drown in unqualified leads. Hundreds pour in daily from Meta ads, but most aren't ready to buy. Sales managers waste hours chasing cold prospects while real buyers wait days for responses. The funnel breaks down at scale.
VeloxCRM automates the entire pipeline. Webhook capture feeds leads directly into the system. AI initiates WhatsApp conversations with human like timing (7-15 minute randomized delays). Custom RAG pipeline grounds every response in vectorized company data, no hallucinations, perfect accuracy.
The result: 200 daily leads compressed to 4-5 qualified conversations. Managers close deals instead of cold calling. System scales infinitely without adding headcount. Revenue grows. Costs stay flat.
Built with Next.js. Powered by Gemini 2.5. Vectorized with pgvector. Cached with Redis. Every component optimized for throughput and precision.
Four stages. Zero manual intervention. Infinite scale.
Meta webhook intercepts leads in real time. Name, interest, vehicle preference, contact details, all streamed directly into PostgreSQL. Zero latency. Zero manual input.
Facebook Lead Ads API, Real time Webhooks, PostgreSQL
AI initiates WhatsApp conversation 7-15 minutes post-capture (randomized for human like behavior). Natural dialogue. Question extraction. Rapport building. Prospects don't know it's automated.
WhatsApp Business API, Gemini 2.5, Behavioral Delay Logic
Custom RAG pipeline queries vectorized company data (768 dim embeddings). Every response grounded in regulations, pricing, inventory. Gemini embeddings enable semantic search. Zero hallucinations. Pure accuracy.
Gemini Embeddings, PostgreSQL pgvector, Custom RAG
Qualified leads flagged to manager dashboard. From 200 daily leads, managers engage with 4-5 ready to close prospects. No cold calls. No wasted hours. Only hot opportunities.
Smart Routing, Priority Scoring, Manager Dashboard
Custom retrieval augmented generation. No frameworks. No overhead. Pure semantic intelligence.
Company data embedded into 768 dimensional vectors via Gemini. Stored in PostgreSQL pgvector for semantic search.
Questions vectorized and matched via cosine similarity. Relevant chunks retrieved in milliseconds. Redis caching for speed.
Gemini 2.5 synthesizes context into natural responses. Grounded in company data. Zero hallucinations. Pure accuracy.
Vector enabled database storing 768 dimensional embeddings. Semantic search over company knowledge in milliseconds. Cached in Redis for speed.
Gemini 2.5 for conversational intelligence. Gemini embeddings for vectorization. Custom RAG pipeline, no frameworks, no overhead.
Conversation state and frequent queries cached. Sub-second response times even under load. Pipeline optimized for throughput.
Automated nurture sequences for leads not ready to convert. Drip campaigns keep prospects warm until buying intent peaks.
7-15 minute randomized delays. Prospects perceive natural human pacing, not instant bot responses.
Every response grounded in vectorized company data. No hallucinations. No outdated info. Just precision.
200 daily leads compressed to 4-5 qualified conversations. Managers close deals, not chase cold prospects.
10 leads or 10,000 system performance stays consistent. Revenue scales without headcount.
Managers liberated from the grind. More time closing deals. Less time chasing cold prospects. Revenue scales. Costs stay flat. System runs 24/7 without supervision.
Technical documentation in progress.
RAG architecture deep dive, conversation design patterns, production deployment lessons.
VeloxCRM transformed sales operations for car retailers. Curious about the architecture, the RAG pipeline, or the AI orchestration?
Enter the System