Author: Shabbir Poonawala

I’ve been working on a project to automate expense tracking using n8n, a workflow automation tool. One of the key features is parsing text commands from Telegram messages.

The text command might look like this: ‘Paid 2000 for server hosting’. My goal is to extract the amount, category, and narrative from this text and push it to Firestore/Sheets.

I’ll break down the JavaScript Regex logic I use to achieve this. If you’re interested in learning more about regex and how to apply it to finance, stay tuned for the next part of this series.

Check out the ShahiRaj blog for more technical articles on finance and workflow automation.

#ShahiRaj #n8n #Regex

I’m excited to share with you a simple yet powerful setup that will change the way you handle server monitoring. Say goodbye to email alerts and hello to high-priority notifications on Telegram!

In this post, I’ll walk you through integrating Uptime Kuma webhooks with n8n, filtering out false positives, and sending critical alerts to a private Telegram channel. The best part? It’s a 3-node setup, making it easy to implement and maintain.

Don’t rely on email alerts that you might miss. With this setup, you’ll receive timely notifications and stay on top of your server’s performance. Follow along and learn how to set up your own server monitoring system using n8n and Uptime Kuma. Get in touch if you have any questions or need help implementing this setup.

Most tracking apps lag by hours. I’ll show you how I use n8n to listen for Shipmozo Webhooks instantly. The moment the courier scans the packet, my database updates, and a WhatsApp message triggers. Latency: <2 seconds. Check out the code and architecture.

#ShahiRaj #n8n #Shipmozo

Visitors to our website rarely use the right keywords. Instead, they ask vague questions like ‘Do you do that thing with the phones?’ That’s where semantic search comes in. With the help of Pinecone and OpenAI Embeddings, our bot can understand the intent behind the messy query and retrieve the correct service page from our vector store.

But how does it work? Well, first we use Pinecone to index our vector database. Then, when a visitor asks a question, we use OpenAI Embeddings to generate a vector representation of their query. Finally, we use the Pinecone index to find the closest match in our vector database.

This approach allows our bot to provide accurate and relevant answers to our visitors’ questions, even when they don’t use the right keywords.

Learn more about our semantic search technology and how it can help you improve your customer experience.

#ShahiRaj #SemanticSearch #AI

Standard bots fail when a user says ‘It’s too expensive.’ But not ours. With Vector Search, we retrieve specific ‘ROI data’ and ‘Competitor Comparisons’ from a PDF knowledge base, allowing the LLM to counter objections with hard facts instantly.

In this technical deep dive, I’ll show you how to code a bot that can negotiate and seal the deal. By combining RAG, Vector Search, and LLMs, we’ve created a bot that can handle objections and close deals.

Want to learn more? Check out our ShahiRaj blog for the latest on RAG-powered chatbots and objection handling.

Old OCR tools failed on complex layouts, but I’ve found a game-changer in GPT-4o Vision. This AI-powered vision model inside n8n allows my bot to ‘look’ at an image (like a conference agenda) and output clean JSON meeting details, handling even blurry text perfectly.

I’ll demonstrate how I integrated GPT-4o Vision into my bot’s workflow, showing you how it can extract meeting details from images and sync them with your calendar.

Want to learn more about this cutting-edge technology? Check out our blog for the latest updates and tutorials.

When handling voice notes, it’s not just about transcription; it’s about intent. I’ll walk you through how I pipe Telegram audio files into OpenAI Whisper (for accuracy) and then into an LLM (for extraction) to convert “Kal dopahar” into 2025-12-12T14:00:00. This tech stack is crucial for our Shahi Raj solutions, ensuring seamless integration. If you’re interested in building something similar, check out our development services. #ShahiRaj

I don’t just wait for webhooks. I run a nightly Cron job in n8n that scans the active order database. If Order_Date is more than 5 days old and Status is not 'Delivered', it triggers an 'Escalation' workflow to the logistics partner and an 'Apology' template to the customer.

Learn more about how ShahiRaj uses n8n to automate workflows and improve customer satisfaction.

In this post, I’ll share how I built a ‘Normalizer’ node in n8n to standardize status codes from Shipmozo and BigShip. This allowed us to push clean updates to users, improving their experience and reducing support queries.

Every logistics carrier sends data differently, making it challenging to work with. By normalizing the data, we can now provide a seamless experience for our customers.

Check out the code and learn how to build your own Normalizer node in n8n!

Read more about our e-commerce solutions and how we can help you get started today!

When working with multiple logistics partners like Shipmozo, BigShip, and ShipRocket, webhook routing can get complicated. Shipmozo sends webhooks one way, while BigShip does it another. That’s where n8n’s ‘Switch’ node comes in handy.

In this post, I’ll break down how to use the ‘Switch’ node to route incoming webhook data based on the ‘Carrier_ID’, so you can handle unlimited logistics partners in a single workflow.

With n8n, you can:

• Route webhooks from multiple carriers
• Automate data processing and updates
• Integrate with your existing systems

Want to learn more about webhook routing and how it can supercharge your logistics operations? Check out our Dev blog for the full tutorial.

#ShahiRaj #WebhookRouting #LogisticsAutomation