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Complete AI Lead Management: Auto-Response, Qualification & CRM Sync
Get the core engine of automated sales. This comprehensive package combines 24/7 AI customer service with intelligent lead profiling, ensuring every prospect is stored, analyzed, and prioritized.
What’s included:
Full features from Service 1 (24/7 AI chat, name/phone extraction, history sync).
Full features from Service 2 (AI Lead scoring: Hot/Warm/Cold, CRM updating).
Instant Hot Lead Alerts directly to your team's device for immediate closing.
(Note: This specific package does not include the long-term follow-up sequences).
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🚀 Just Built an AI Lead Nurturing Agent for B2B Sales Teams!
The problem: Most B2B companies lose leads because follow-ups are slow. By the time a rep reaches out, the lead has already talked to competitors.
The solution: An AI agent that handles the entire lead nurturing workflow:
✅ Scores leads as HOT/WARM/COLD automatically
✅ Sends personalized follow-ups within 60 seconds
✅ Logs everything to Google Sheets/CRM
✅ Alerts reps only for serious buyers
✅ Books meetings directly into calendars
Tech Stack: n8n | OpenAI | Google Sheets | Gmail | Telegram
Result: 60% higher conversion rate, 15+ hours/week saved per rep.
This is like having an AI SDR that never sleeps — for $300/month.
Want this for your sales team? Let's talk.
#AIAutomation #LeadNurturing #B2BSales #SalesOps #n8n #PropTech
The bit about auto booking meetings into calendars looks like it will eliminate a lot of scheduling back and forth.
The AI Clothing Inspection System is an advanced automated quality control solution for garment and textile inspection. It leverages cutting-edge artificial intelligence technologies including multilingual OCR, deep learning vision models, and real-time object detection to ensure comprehensive product quality assurance. The system automates the detection of defects, verifies compliance with order specifications, and generates detailed inspection reports.
spotting garment defects with vision plus OCR on labels is a solid real-world use
This week, I have been working on automating my boss's inbox management, delegating email triage to AI while I handle reviews and approvals that require sound judgment. Because one wrong response to a client can cost a business revenue, I wanted to build a system that saves time without handing over critical decisions to AI.
How I built it:
I created two connected automation scenarios in Make.com.
Scenario 1: Intelligent Inbox Triage:
AI analyzes incoming emails, categorizes them by priority, summarizes their content, and recommends the next action. This makes it easier to identify urgent messages and decide what needs attention first.
Scenario 2: Human Review & Approval:
The workflow supports the review and approval process before an email is sent. Slack notifications help bring relevant updates to my attention, so I can review the proposed action and approve the response before it goes out.
Below are snippets of the two scenarios, including a Slack notification, showing how the workflow operates.
My takeaway? AI can help manage the inbox, but when a response could affect revenue or a client relationship, the final decision should remain human.
I'd test the triage with urgent emails that sound casual, such as 'I still can't access the account.' Do you review a sample of low-priority messages to catch urgent ones the AI missed?