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E-commerce price and stock extractor, published on the Apify Store (async Python, httpx + BeautifulSoup). Give it product or category URLs and it returns title, price, currency, availability, SKU and link. It reads schema.org JSON-LD first and falls back to common product card selectors. Each record says which method produced it. https://apify.com/thanh81646/apify-ecommerce-price-and-stock-monitor
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Built an AI-powered lead qualification automation using n8n. The system receives incoming leads, validates their information, analyzes customer needs, assigns a lead score from 0 to 100, creates or updates CRM contacts, and sends Telegram notifications. It also handles duplicate contacts and processing errors.
This is a solid, practical build. The flow makes sense: validate → analyze → score → CRM → notify. What I like most is the duplicate handling and error processing — those are usually the first things people skip, and they're exactly what makes a lead system actually usable day...
I built a complete AI powered e commerce store or website called Shop AI focused on modern, minimal essentials. The site features a Clean luxury store front with hero collection banner, product grid ( 20+ items), shopping cart and check out flow.
The goal was to create a high converting brandable store that feels like a real DTC brand, not a template. Users can browse collections, view products like bags, sneakers, and watches, and also shop instantly. the UI is fully responsive and optimize for sales
clean, the minimal essentials vibe fits. a full cart + checkout flow is more than most demo stores bother with
📩 Thousands of Facebook messages.
💸 One missed reply = one lost sale.
That's the problem behind a recent project I built
for a Bangladeshi online clothing business. 🛍️
Their inbox was busy, but their old automation wasn't helping.
Messages were missed. Replies were wrong.
And every wrong reply cost trust — and sales.
So I built an AI-powered Messenger system with
Make.com + Google Sheets + Gemini AI + Facebook Messenger: 🤖
💬 Natural replies in the customer's own language — Bangla, Banglish, or English
📊 Product, price, discount, and stock checked live from Google Sheets
❓ No guessing — if there's no product code, it asks for it first
🧠 Per-customer memory, so 10 customers chatting at once don't get mixed up
✅ Orders saved only after confirmation, with Order & Payment Status marked Pending for the owner
🔔 Instant Telegram notification to the owner on a new confirmed order
🔄 Gemini first, with an AI fallback if it fails
The goal wasn't to replace the owner.
It was to remove the repetitive work, reply faster,
and keep every order organized — without losing accuracy.
For online businesses in Bangladesh, this isn't just a tech experiment anymore.
It's a practical way to improve customer experience and scale smarter.
Shop owners, quick question for you: 💭
What's costing you more right now — missed messages, or wrong replies?
I build AI chatbots and business automation for Messenger, WhatsApp, and Instagram.
If you want something like this for your business, let's connect. 🤝
#AIAutomation #MakeCom #FacebookMessenger #CustomerSupport #BusinessAutomation #Bangladesh
