AI-Powered Pune Construction Leads
Budget: ₹600 – ₹1,500 INR
I need a fully-functioning, AI-driven lead engine that continually discovers and wins over commercial builders, luxury residential developers, architects, and contractors across Pune before competitors reach them.
The workflow starts with safe, compliant scraping. The agent must pull fresh data every day from Government websites (think RERA approvals or tender notices), leading real-estate portals, and relevant social-media chatter. Raw records then flow into an enrichment layer that adds direct phone numbers, verified emails, and firmographics, with a special focus on Project Managers and Purchase Heads.
Once the contacts are clean, the same system should launch automated outreach campaigns—email sequences, LinkedIn touches, or WhatsApp nudges—while an AI tracker watches for local construction triggers such as new CREDAI member additions or early-stage excavation alerts. Every interaction and trigger should feed back into my CRM so I can see hot prospects in real time.
Deliverables
• A deployed agent (Python/Node, Scrapy/Selenium, LangChain or similar) that scrapes the three source categories safely and respects rate limits.
• Contact-enrichment pipeline with validation ≥ 95 % accuracy.
• Automated outreach workflows pre-loaded in my CRM/marketing-automation tool, ready to run.
• Trigger dashboard or webhook that flags new projects within an hour of detection.
• One-month runbook and hand-off documentation so I can scale or tweak the engine myself.
Acceptance criteria: At least 200 new, verified contacts in the first 30 days, with distinct Project Managers and Purchase Heads representing a minimum of 50 unique construction projects.
If you can stitch these pieces together into a seamless, hands-off machine, let’s get started.
The workflow starts with safe, compliant scraping. The agent must pull fresh data every day from Government websites (think RERA approvals or tender notices), leading real-estate portals, and relevant social-media chatter. Raw records then flow into an enrichment layer that adds direct phone numbers, verified emails, and firmographics, with a special focus on Project Managers and Purchase Heads.
Once the contacts are clean, the same system should launch automated outreach campaigns—email sequences, LinkedIn touches, or WhatsApp nudges—while an AI tracker watches for local construction triggers such as new CREDAI member additions or early-stage excavation alerts. Every interaction and trigger should feed back into my CRM so I can see hot prospects in real time.
Deliverables
• A deployed agent (Python/Node, Scrapy/Selenium, LangChain or similar) that scrapes the three source categories safely and respects rate limits.
• Contact-enrichment pipeline with validation ≥ 95 % accuracy.
• Automated outreach workflows pre-loaded in my CRM/marketing-automation tool, ready to run.
• Trigger dashboard or webhook that flags new projects within an hour of detection.
• One-month runbook and hand-off documentation so I can scale or tweak the engine myself.
Acceptance criteria: At least 200 new, verified contacts in the first 30 days, with distinct Project Managers and Purchase Heads representing a minimum of 50 unique construction projects.
If you can stitch these pieces together into a seamless, hands-off machine, let’s get started.