CRM & Internal Tools Case Study

Clemxy AI CRM

Impact: 65% Faster Deal Cycles · 18h Saved / Wk · $0 Per-Seat Fees

Clemxy AI CRM
Project Overview

Enterprise Product Engineering

Engineered an AI-native CRM platform that unifies sales pipeline management, customer interaction history, and automated deal intelligence with real-time Supabase synchronization.

Project Details

My Role

Lead AI Systems Architect & Full Stack Engineer

Timeline

3 Weeks (2025)

Niche Industry

Sales Operations & AI Pipeline Automation

Interactive Video Presentation

Walkthrough Demo

Watch an in-depth walkthrough of the system, code integration details, and production features.

video_walkthrough.mp4
01. The Problem Space

Client Challenge

Spreadsheets and rigid per-seat SaaS tools caused sales team burnout, delayed lead follow-ups by 48h+, and lacked automated deal priority scoring.

02. Engineered Outcome

Implemented Solution

Architected an AI-native CRM featuring automated conversation summarization, 1-click lead qualification, multi-tenant RBAC, and real-time database subscriptions.

Core Specifications

Key Features Engineered

  • Live Kanban pipeline with real-time Supabase change subscriptions.
  • Automated lead scoring & ICP qualification via LLM context extraction.
  • Granular Role-Based Access Control (RBAC) with team hierarchy permissions.
  • Instant 1-click auto-drafted personalized email follow-ups.
Core Technology Stack

Technologies Engineered

A listing of the programming languages, database systems, libraries, and frameworks integrated to build this product.

Next.js 15React 19FastAPISupabasePostgreSQLLangGraphOpenAITailwind CSS
03. Commercial Impact

Outcomes & Metrics

A look at the specific business gains, search indexing speedups, and conversions achieved upon launch.

+65%Deal Velocity

Acceleration in closed deal cycles

18h / WkTime Saved

Manual data entry eliminated

98.5%Data Accuracy

CRM pipeline record hygiene

Engineering Workflow

Development Process

1

Data Modeling

Designed normalized PostgreSQL schema with Row-Level Security policies.

2

Real-Time Engine

Built Supabase WebSocket subscriptions for real-time Kanban updates.

3

AI Deal Assistant

Integrated LangGraph agent loop analyzing deal communications.

4

UI & Performance

Crafted sub-second Linear-style dark mode interface with Next.js 15.

Live Project Gallery & Sandbox Simulator

Visual Interactive Showcase

Explore active frontend screens, database telemetry sync panels, and medical intake logic coded specifically for this case study.

clemxy-ai-crm.clement.dev/home
Module Render complete
Client Feedback

“Clemxy AI CRM completely eliminated our spreadsheet chaos. We cut 18 hours of manual logging every week while closing deals 65% faster.”

David Sterling

VP of Sales at VentureScale Systems

Coordination Linkings

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