Autovoxx

Solution Architecture

Business Presentation

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The Challenge

Salespeople miss opportunities by not knowing how to adapt their pitch to customer profiles. Behavioral insights arrive too late, always post-sale. Manual processes limit scale and traceability.

The Solution

Enterprise AI platform that captures conversation audio in real-time, identifies customer DISC profile with ML.NET, and sends actionable recommendations to the salesperson during the interaction, all automatically synced with CRM.

Architecture

• • .NET MAUI mobile app with audio capture (16kHz, mono)
• • WebSocket streaming → Azure Speech STT (< 2s)
• • Azure AI Language for NLP + sentiment + entities
• • ML.NET + rules engine for DISC classification
• • SignalR Hub for real-time insight push
• • Multi-tenant PostgreSQL with Row-level Security
• • Redis Cache for sessions and recommendations
• • RD Station OAuth2 + bidirectional webhooks
• • Power BI Embedded for executive dashboards

Metrics

• • Audio → insight latency: < 500ms (SignalR)
• • DISC classification accuracy: > 85%
• • SLA uptime: 99.9%
• • Scale: 100+ dealerships, 1000+ concurrent users

Differentiators

• • From pitch to partnership: Executive presentation convinced stakeholders to invest in the project, validating both technical vision and communication skills.
• • Real-time behavioral analysis (not post-processed)
• • Actionable recommendations, not just dashboards
• • Multi-tenant with complete data isolation
• • LGPD ready: data retention + anonymization
• • CRM agnostic: RD Station today, HubSpot/Salesforce tomorrow

Results

• • Pitch presented to stakeholders resulted in partnership deal for development
• • Complete architecture documented in 80+ pages
• • Projected ROI: 500%+ in 12 months
• • +15% sales conversion (pilot target)
• • +20% operational efficiency
• • 100% service traceability in CRM