Real Estate & Architecture Services•
Digital Transformation•
AI & SalesTech
AI-Powered Lead Qualification & Sales Intelligence Suite
Developed an AI-powered lead qualification and sales intelligence suite for Cheesy Visual, combining machine learning lead scoring layered over rule-based logic, human override feedback loops, and transparent score explanations to maximize outbound sales conversion.
Executive Summary
Goal
Accelerate lead qualification and eliminate conversion bottlenecks for Cheesy Visual's inside and outbound sales teams through automated, transparent AI lead scoring.
Solution
Engineered a hybrid AI scoring model layered over rule-based business logic, incorporated human override feedback loops for continuous ML tuning, and delivered an intuitive sales visibility dashboard.
Outcome
Increased lead qualification speed by 4x, boosted sales team conversion rates by 32%, and established full funnel visibility for sales management.
Strategic Value
Bridge the gap between AI predictive insights and sales team trust, turning unorganized leads into high-priority revenue opportunities.
Business Challenge
Manual lead qualification creating severe response delays and lost high-value prospects.
Inconsistent sales decision-making and subjective lead prioritization across reps.
Low conversion visibility across the sales funnel, leading to sales rep skepticism towards automated tools.
Project Objectives
Active Industry
Scoring
StackDot Approach
Historical Data Mining
Analyzed past deal outcomes, lead sources, and engagement touchpoints to train initial predictive models.
Hybrid AI Scoring Engine
Layered Machine Learning lead scoring over deterministic business rules for maximum accuracy.
Human Override & Feedback Loop
Built rep override mechanisms that feed real-time human decisions back into model retraining.
Transparent Dashboard Rollout
Deployed sales rep dashboard with clear scoring explanations and top deal drivers to build trust.
Solution Highlights
Manual lead qualification causing delays → AI-assisted scoring layered over rule-based logic.
Inconsistent sales decision-making → Human override & learning feedback loop.
Low conversion visibility across funnel → Clear scoring explanations for sales trust.
Architecture & Tech
AI & ML Engine
Python • XGBoost • Scikit-Learn • Rule-Based Heuristic Engine
Backend API
Node.js REST Services • CRM Connector (HubSpot / Salesforce)
Database & Pipeline
PostgreSQL Data Warehouse • Redis Caching Engine
Sales UI & Analytics
React.js Sales Dashboard • Tailwind CSS • Chart.js Analytics
Impact & Results
Before
After
Lead Qualification Speed
BeforeManual (24-48 Hours)
After4x Faster (Instant AI Scoring)
Manual (24-48 Hours)
4x Faster (Instant AI Scoring)
Sales Conversion Rate
BeforeBaseline Outbound
After32% Increase in Win Rate
Baseline Outbound
32% Increase in Win Rate
Sales Rep AI Adoption
BeforeSkepticism & Resistance
After95% Active Daily Usage
Skepticism & Resistance
95% Active Daily Usage
Funnel Visibility
BeforeBlind Spots
After100% Real-Time Management View
Blind Spots
100% Real-Time Management View
Client Testimonial
“StackDot's AI scoring suite transformed our sales pipeline. Layering AI over our existing rules while giving reps clear scoring explanations built immediate trust, helping us close 32% more deals.”
— Cheesy Visual Sales Director,Head of Global Sales at Cheesy Visual Studio
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Roll out predictive revenue forecasting for quarterly sales targets.
Expand bi-directional sync connectors for major enterprise CRMs.
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AI-Powered Process & Document Intelligence System
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- Human-in-the-Loop
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