AI-Powered Lead Scoring & Qualification System (Smart Sales Automation)
https://www.loom.com/share/b0976e731754445995b904b8a2b4ff2f
Developed an AI-driven lead scoring system to help businesses automatically identify, prioritize, and convert high-quality leads eliminating manual qualification and improving sales efficiency.
Problem:
Sales teams were spending excessive time manually reviewing and qualifying leads, often prioritizing low-intent prospects. This led to wasted effort, missed opportunities, and inconsistent conversion rates.
Solution:
Built an intelligent AI-powered system that analyzes lead data, behavior, and interactions to automatically score and segment leads based on conversion potential enabling sales teams to focus only on high-value opportunities.
Key Features:
AI-based lead scoring using behavioral and demographic data
Automated lead qualification and segmentation (hot, warm, cold)
Integration with CRM and marketing tools for real-time updates
Smart triggers for follow-ups and sales actions
Continuous learning system that improves scoring accuracy over time
Centralized dashboard for lead insights and prioritization
Tech Stack:
OpenAI, n8n , CRM (HubSpot / Salesforce), Google Sheets / Database
Results:
Reduced manual lead qualification time by 70–80%
Increased conversion rates by prioritizing high-intent leads
Improved sales efficiency and response time
Better visibility into lead quality and pipeline health
Scalable system for handling large volumes of leads
Impact:
Transformed a manual, inconsistent lead qualification process into a data-driven, AI-powered system enabling smarter sales decisions and faster revenue growth.
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AI-Powered Credit Recovery Voice Agent (Automated Collections System)
Developed an AI-driven voice automation system to streamline and scale credit recovery operations through intelligent, human-like calling agents.
Problem:
Manual debt collection processes were time-consuming, inconsistent, and difficult to scale. Agents had to make repetitive calls, track responses manually, and follow up inefficiently leading to low recovery rates and high operational costs.
Solution:
Built an AI-powered voice agent that automates outbound and inbound collection calls, interacts naturally with customers, and handles follow-ups—while logging all interactions in real time.
Key Features:
AI voice agent for automated outbound collection calls
Human-like conversations with dynamic responses
Smart payment reminders and follow-up scheduling
Intent detection (promise to pay, dispute, no response, etc.)
Real-time call transcription and logging
Integration with CRM / database for tracking recovery status
Automated escalation for high-priority cases
Tech Stack:
Voice AI APIs (VAPI), OpenAI, n8N ,Google Sheets.
Results:
Increased call coverage without hiring additional agents
Reduced manual calling workload by 70–80%
Improved recovery rates through consistent follow-ups
Real-time visibility into collection performance
Scalable system handling thousands of calls daily
Impact:
Transformed traditional debt collection into a scalable, AI-powered voice system reducing operational costs while improving recovery efficiency and customer engagement.
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AI-Powered Recruitment Automation System (End-to-End Hiring Workflow)
https://www.loom.com/share/cdb3a1b006e34f6ab7922da742feb505
(https://www.loom.com/share/cdb3a1b006e34f6ab7922da742feb505)Built a fully automated AI-driven recruitment pipeline to streamline hiring operations and eliminate manual coordination across teams.
Problem:
Hiring processes were fragmented requiring multiple approvals, manual job description creation, and time-consuming resume screening. This led to delays, inefficiencies, and lack of visibility across the hiring pipeline.
Solution:
Designed and implemented an intelligent automation system that manages the entire hiring lifecycle from request submission to candidate shortlisting—using AI and workflow automation tools.
Key Features:
Automated hiring request and approval workflows via Monday.com (http://Monday.com)
AI-generated job descriptions based on role requirements
Smart candidate intake and application forms
AI-powered resume parsing, scoring, and tagging
Automated email communication and follow-ups via Gmail
Centralized candidate tracking and workflow orchestration using n8n
Real-time updates and task management across teams
Tech Stack:
n8n, Monday.com (http://Monday.com), OpenAI, Gmail .
Results:
Reduced hiring coordination time by 60–70%
Instant job description generation
Automated resume screening and shortlisting
Improved transparency across recruitment pipeline
Faster hiring decisions with minimal manual effort
Impact:
Transformed a manual, time-consuming hiring process into a scalable, AI-powered recruitment system improving efficiency, speed, and hiring accuracy.
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Real-Time Distributor Inventory Sync Automation (AI-Powered)
Built an AI-driven automation system to streamline and standardize distributor inventory reporting for an FMCG client.
Problem:
Distributor stock updates were coming in through multiple unstructured channels like WhatsApp, emails, screenshots, and handwritten notes. This required manual data entry by sales teams, leading to delays, errors, and inconsistent reporting.
Solution:
Designed and implemented an intelligent automation pipeline that captures incoming data, extracts key stock details using AI, and converts it into a structured format. The system auto-generates a review form for validation and syncs approved data directly into centralized dashboards.
Key Features:
AI-powered data extraction from text, images, and documents
Automated workflow using Make.com
(http://Make.com)Smart data structuring and standardization
Human-in-the-loop approval system
Real-time sync to Google Sheets / database
Scalable architecture for multiple distributors
Tech Stack:
Make.com (http://Make.com), OpenAI, Supabase, Google Sheets, Custom Forms
Results:
Reduced data entry time by 90%
Achieved consistent and clean data formatting
Improved inventory visibility and forecasting
Enabled sales teams to focus on decision-making instead of manual tasks
Impact:
Transformed a manual, error-prone process into a real-time, AI-powered inventory sync system improving operational efficiency and business insights.
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