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System Status
Online: 3K+ Agents Active
Digital Worker 13 AI Agents Active

Lead Intelligence & Qualification System

Orchestrates 13 specialized AI agents to automatically enrich lead data, score qualification probability using logistic regression, assess creditworthiness, match vehicles using collaborative filtering, optimize pricing, calculate financing options, and assign to optimal sales representatives - all in real-time with circuit breaker patterns for reliability..

Parent Portal Nexgile-Kinetic Hub
13 AI Agents
5 Tech Stack
AI Orchestrated
24/7 Available
Worker ID: lead-intelligence-system

Problem Statement

The challenge addressed

Automotive dealerships receive leads from multiple channels but lack the ability to quickly qualify, score, and route them effectively. Sales teams waste time on low-quality leads while hot prospects go unattended. Credit assessment, vehicle matching...

Solution Architecture

AI orchestration approach

Orchestrates 13 specialized AI agents to automatically enrich lead data, score qualification probability using logistic regression, assess creditworthiness, match vehicles using collaborative filtering, optimize pricing, calculate financing options,...
Interface Preview 4 screenshots

Agent Orchestration Dashboard - Multi-stage lead processing workflow with specialized agents for enrichment, scoring, and matching

Multi-Agent Orchestration Theater - Real-time execution flow showing 13 specialized agents processing lead qualification with task details

AI Analysis Complete - Lead scoring results with 89% conversion probability, vehicle recommendations, credit assessment, and financing options

System Resources & Performance - Agent execution details with technical summary, performance metrics, and resource utilization monitoring

Multi-Agent Orchestration

AI Agents

Specialized autonomous agents working in coordination

13 Agents
Parallel Execution
AI Agent

Data Enrichment Agent

Incoming leads contain minimal information, making it impossible to assess quality or personalize the sales approach without manual research.

Core Logic

Automatically enriches lead profiles by querying LinkedIn for professional information, credit bureaus for financial data, and CRM history for past customer interactions. Aggregates job title, company, connections, credit pre-qualification status, and customer relationship history into a unified lead profile.

ACTIVE #1
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AI Agent

Lead Scoring Agent

Sales teams cannot distinguish between high-intent buyers and casual browsers, leading to inefficient resource allocation and missed opportunities.

Core Logic

Uses a logistic regression model trained on 50,000+ historical leads to calculate conversion probability. Evaluates 10+ weighted factors including budget alignment, response time, credit score, customer loyalty, website engagement, referral quality, timeline urgency, and decision authority. Assigns Hot/Warm/Cold tier classification with 95% confidence intervals.

ACTIVE #2
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AI Agent

Credit Assessment Agent

Credit evaluation is slow, inconsistent, and often happens late in the sales process, wasting time on unqualified buyers or under-serving qualified ones.

Core Logic

Calculates FICO-like credit scores using a 5-factor model: payment history (35%), credit utilization (30%), history length (15%), credit mix (10%), and recent inquiries (10%). Computes probability of default, determines approved financing amount, recommends APR tiers, and identifies derogatory factors.

ACTIVE #3
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AI Agent

Vehicle Matching Agent

Matching customers to the right vehicle requires deep knowledge of inventory across 39 locations and understanding of customer preferences - too complex for consistent manual execution.

Core Logic

Implements collaborative filtering using cosine similarity to match customer preferences against vehicle inventory. Builds feature vectors for budget flexibility, eco-preference, size, luxury, performance, safety, and tech features. Returns ranked recommendations with match scores, boosting in-stock and preferred brand vehicles.

ACTIVE #4
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AI Agent

Inventory Search Agent

Vehicle inventory is distributed across 39 dealership locations, making it difficult to find available matches and coordinate cross-location sales.

Core Logic

Searches inventory across all Nexgile-Kinetic dealership locations in real-time. Returns matching vehicles with VIN-level detail, location, year, price, days in inventory, and availability status. Identifies the optimal match and provides alternatives from other locations.

ACTIVE #5
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AI Agent

Dynamic Pricing Agent

Static pricing ignores inventory age, market demand, competition, and seasonality - resulting in either slow-moving stock or lost margin opportunities.

Core Logic

Optimizes pricing using inventory aging curves, condition adjustments, market demand elasticity, seasonal factors, and competitive positioning. Calculates MSRP, recommended price, discount percentage, gross profit margin, holding costs, and predicted days to sale. Provides price competitiveness assessment.

ACTIVE #6
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AI Agent

Financing Calculator Agent

Calculating financing options with French market specifics (TVA, registration fees, insurance) is time-consuming and error-prone when done manually.

Core Logic

Computes complete financing packages using amortization formulas with French automotive specifics: 20% TVA, carte grise registration fees based on fiscal horsepower, and insurance estimates. Calculates monthly payments, total interest, LTV ratio, DTI ratio, and residual values for multiple term options (36/60/84 months).

ACTIVE #7
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AI Agent

Sales Assignment Agent

Leads are often assigned randomly or round-robin, ignoring specialist expertise and performance metrics, reducing conversion rates.

Core Logic

Routes leads to optimal sales specialists based on brand specialization, historical conversion rates, average cycle time, and current workload. Provides assignment reasoning and estimated contact time for immediate follow-up.

ACTIVE #8
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AI Agent

Market Intelligence Agent

Sales decisions are made without real-time understanding of regional demand trends, price movements, and market conditions.

Core Logic

Analyzes regional demand patterns, price indices, and seasonal factors. Provides demand forecasts with confidence levels, identifies market insights (EV trends, government incentives, interest rates), and assesses competitor activity levels to inform pricing and positioning decisions.

ACTIVE #9
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AI Agent

Competitor Analysis Agent

Dealerships lose deals because they are unaware of competitor pricing, promotions, and inventory levels in their market area.

Core Logic

Scans competitor pricing, inventory levels, and current promotions from Renault Retail Group, Stellantis dealers, and other major competitors. Calculates price positioning relative to market, identifies threat levels, and recommends counter-actions like matching promotions or offering service packages.

ACTIVE #10
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AI Agent

Parts Availability Agent

Vehicle sales can stall when service parts availability is unknown, causing delays in delivery preparation and after-sales support.

Core Logic

Checks spare parts availability across 39 dealership warehouses for matched vehicles. Reports availability percentages by category (brakes, filters, electrical, suspension, body parts), average delivery times, and service capacity at preferred dealers. Ensures warranty parts coverage is confirmed.

ACTIVE #11
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AI Agent

Trade-In Valuation Agent

Trade-in valuations are inconsistent and time-consuming, often requiring external appraisals and delaying deal closure.

Core Logic

Estimates trade-in values using Argus data fused with current market conditions. Calculates low/mid/high valuation ranges, applies seasonal and condition adjustments, recommends offer price with profit margin analysis, and identifies quick-sale bonus opportunities.

ACTIVE #12
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AI Agent

Action Recommender Agent

Sales follow-up is ad-hoc and inconsistent, with no systematic approach to next-best-actions based on lead characteristics and engagement signals.

Core Logic

Generates autonomous next-best-actions with prioritization (immediate/follow-up/engagement/nurture). Creates personalized communication templates for email, SMS, and WhatsApp with 88-94% personalization scores. Schedules follow-up cadences, determines conversion strategy (aggressive vs consultative), and provides risk mitigation recommendations.

ACTIVE #13
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Technical Details

Worker Overview

Technical specifications, architecture, and interface preview

System Overview

Technical documentation

A production-grade multi-agent AI system for automotive dealership lead management across Nexgile-Kinetic's 39+ locations. Processes leads through specialized agents handling data enrichment (LinkedIn, credit bureaus, CRM), ML-based lead scoring (94.7% accuracy), credit assessment, vehicle matching via collaborative filtering, inventory search across all dealerships, dynamic pricing, financing calculations with French market terms (TVA, APR, DTI), and intelligent sales assignment based on specialist performance metrics.

Tech Stack

5 technologies

Logistic regression model with 94.7% accuracy for lead scoring

Circuit breaker pattern for fault-tolerant external API calls

LRU cache service for performance optimization

Collaborative filtering algorithm for vehicle recommendations

Event sourcing with full audit trail and distributed tracing

Architecture Diagram

System flow visualization

Lead Intelligence & Qualification System Architecture
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