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Real estate inquiries arrive after hours, on weekends, and mid-showing. AI automation captures every lead and follows up automatically, so no prospect is lost to a slow response. Full breakdown: https://www.nerdstech.co/blog/ai-automation-real-estate-agencies
Hashtags: #RealEstate #AIAutomation #LeadGeneration #AI #CRM
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I help founders and small businesses stop losing time and leads to manual work.
What I build:
→ AI automation: AI that reads every new lead, scores it, and routes the hot ones to your team in seconds (n8n, OpenAI, Claude)
→ GoHighLevel systems: pipelines, SMS and email follow-up, and stage gates, like the one I built for an insurance team so deals can't move without the sold value, policy details and documents
→ Bubble.io apps: MVPs, SaaS products, marketplaces and internal tools, with Stripe payments, APIs and AI features built in
→ Workflow pipelines: booking to payment to confirmation with no one touching it, like the n8n and Stripe flow I built for a cross-docking warehouse
The video shows it all in under a minute.
Not sure where to start? Book a free 30-minute automation audit: cal.com/jubril-toheeb-rgh9vp/30min
Impressive work! 👏 Great use of AI and workflow automation to save time, streamline operations, and help businesses convert more leads.
Built an AI system that reads supplier invoices and posts them straight into a dealer management system. No one retypes anything anymore.
The problem: a group of car dealerships was getting hundreds of supplier invoices by email and WhatsApp photos, and staff were keying every line into their DMS by hand.
What I built:
• Email and WhatsApp intake, auto-matched to the right dealership
• AI and vision extraction of vendor, tax details, and line items grouped by vehicle
• Verification and duplicate detection before anything gets posted
• A review dashboard for the few cases that need a human
• Browser automation that posts approved invoices into the DMS
• WhatsApp auto-replies that chase suppliers for missing details
Result: 280+ invoices processed so far, with zero exceptions.
Stack: Python, LLM and vision models, React, Selenium
If your team is still copying data from documents into another system, that's usually very automatable. Happy to take a look at yours.
#AI #Automation #AIAgents
The WhatsApp auto-replies that chase suppliers for missing details are the piece I like most, since that closes the loop instead of just flagging a gap. How do you decide when a missing field gets an automatic chase versus going to the review dashboard for a person?
Pulen is a take-a-number app for a roti mochi bakery in Bandung. The bakery is fictional, the problem is real: the line starts at 6:40, people wait 45 minutes, and the cheese one sells out before nine.
You fill a box from home and pay, and your number only exists once the card clears, so nobody can hold buns with a fake order. Your paper ticket follows the oven and tells you when to start walking. In the kitchen, every tray of 36 is planned from paid boxes first. Unpaid holds, missed boxes, sold-out flavours and the owner's closing summary with an AI suggestion all run on their own.
If Bandung is asleep when you visit, press "Play the morning" to watch a whole morning in 70 seconds. To try ordering, use the Stripe test card 4242 4242 4242 4242.
Built in Base44 from 12 plain-English prompts.
I'd test the last cheese bun with two payments completing at once. Does Pulen reserve stock during checkout and release it on expiry, or allocate only after payment with a refund path if that flavour has sold out?