AI B2B Lead System Setup

I want to sit down in Pune for a detailed, face-to-face session and map out an AI-driven B2B lead-generation engine geared toward the construction ecosystem. The core objective is to spot brand-new or still-rising projects and know exactly which stage of construction they are in so I can reach the right people before my competitors do.

Geography in scope: Pune, PCMC and the larger Maharashtra market.
Decision-maker focus: builders and developers, civil contractors and purchase / procurement heads.

What I need built is more than a list of phone numbers. I’m imagining a system that:

• Continuously mines public and paid data sources, portals, RERA filings, satellite imagery or any reliable feed an ML model can consume to flag fresh projects and update their progress stage.
• Enriches each project with verified contact details of the stakeholders above, including architects, interior designers and anyone else who influences the eventual granite or stone purchase.
• Scores and segments opportunities, groups them by zone so that sales routes can be planned efficiently, and pushes everything into a lightweight CRM for follow-up tracking.
• Surfaces reminders, next steps and response history so nothing slips through the cracks.

We will first meet 1-to-1 in Pune to refine the workflow, pick the right stack (n8n, Power BI, data mapping, extracting, HubSpot—open to your suggestions) and define realistic milestones. After that, I expect:

1. A functioning data-collection and staging pipeline.
2. A clean dashboard or CRM view with search, filter and export options.
3. A short user guide and a quick screen-share demo that proves new projects are flowing in and being auto-classified.

If you’re local, comfortable with AI/ML data scraping and CRM integrations, and can demonstrate similar B2B prospecting work, let’s schedule that coffee meeting and get started.