Lead Intelligence & Qualification System
Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
Illustrative preview (sample data, not verified outcomes): Agent Orchestration Dashboard - Multi-stage lead processing workflow with specialized agents for enrichment, scoring, and matching
Illustrative preview (sample data, not verified outcomes): Multi-Agent Orchestration Theater - Real-time execution flow showing 13 specialized agents processing lead qualification with task details
Illustrative preview (sample data, not verified outcomes): AI Analysis Complete - Lead scoring results with 89% conversion probability, vehicle recommendations, credit assessment, and financing options
Illustrative preview (sample data, not verified outcomes): System Resources & Performance - Agent execution details with technical summary, performance metrics, and resource utilization monitoring
AI Agents
Specialized autonomous agents working in coordination
Data Enrichment Agent
Incoming leads contain minimal information, making it impossible to assess quality or personalize the sales approach without manual research.
Core Logic
Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. 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.
Lead Scoring Agent
Sales teams cannot distinguish between high-intent buyers and casual browsers, leading to inefficient resource allocation and missed opportunities.
Core Logic
Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Numerical examples are scenario inputs or illustrative outputs, not validated performance results. 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.
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
Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Numerical examples are scenario inputs or illustrative outputs, not validated performance results. 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.
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
Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. 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.
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
Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. 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.
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
Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. 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.
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
Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Numerical examples are scenario inputs or illustrative outputs, not validated performance results. 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).
Sales Assignment Agent
Leads are often assigned randomly or round-robin, ignoring specialist expertise and performance metrics, reducing conversion rates.
Core Logic
Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. 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.
Market Intelligence Agent
Sales decisions are made without real-time understanding of regional demand trends, price movements, and market conditions.
Core Logic
Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. 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.
Competitor Analysis Agent
Dealerships lose deals because they are unaware of competitor pricing, promotions, and inventory levels in their market area.
Core Logic
Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. 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.
Parts Availability Agent
Vehicle sales can stall when service parts availability is unknown, causing delays in delivery preparation and after-sales support.
Core Logic
Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. 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.
Trade-In Valuation Agent
Trade-in valuations are inconsistent and time-consuming, often requiring external appraisals and delaying deal closure.
Core Logic
Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. 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.
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
Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Numerical examples are scenario inputs or illustrative outputs, not validated performance results. 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.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
5 technologies
Architecture Diagram
System flow visualization