Blog

Eid Mubarak, everyone! As a developer, I’m excited to share my thoughts on how we can build a scalable infrastructure for global trade at Shahi Raj.

When it comes to handling massive amounts of data, high-traffic APIs, and real-time integrations, our tech stack plays a crucial role. At Shahi Raj, we’re leveraging n8n, Vector DBs, and Webhooks to create a robust and efficient system that can handle the demands of global trade.

I’ve built a custom workflow using n8n that automates data synchronization between our CRM and ERP systems. The result? A seamless experience for our customers and a significant reduction in manual errors.

Want to learn more about our tech stack and how we’re building a scalable infrastructure for global trade? Check out our website for the latest updates and insights from our team.

I’m excited to share my experience building the Instant Expert Shield using n8n, Vector DBs, and Webhooks. Our AI Support Chat Widget is designed to absorb up to 70% of routine FAQs instantly, freeing up human agents to focus on complex customer issues.

We use n8n to integrate our AI model with various data sources, including our Debian 12/AWS Mumbai production server. Vector DBs provide the necessary storage for our AI model’s training data, while Webhooks enable seamless communication between our services.

By leveraging these technologies, we’ve created a scalable and secure solution that empowers support teams to focus on what matters most – delivering exceptional customer experiences.

Check out our tech stack and learn more about our AI Support Chat Widget.

I recently worked on a project to build a lead-to-meeting solution using n8n and Vector DBs. The goal was to automate the entire booking flow, from lead capture to meeting confirmation.

We used n8n’s workflows to integrate with WhatsApp and Telegram, allowing users to book meetings directly from these platforms. The Vector DBs were used to store real-time availability data, which was then used to check for conflicts and lock in the meeting slot.

The solution was hosted on our AWS Mumbai infrastructure, with Google Calendar integration for seamless syncing of confirmed meetings.

By using n8n and Vector DBs, we were able to build a scalable and efficient lead-to-meeting solution that empowers sales teams to focus on closing deals.

Want to learn more about how we built this solution? Check out our developer blog.

At Shahi Raj, we’ve developed an AI Personal Assistant Bot that integrates with Telegram and WhatsApp, providing a seamless experience for users.

The bot is built using our high-performance Debian 12 production environment, ensuring scalability and reliability.

From a technical standpoint, the bot utilizes n8n for workflow automation, Vector DBs for data storage, and Webhooks for real-time updates.

Want to see how we’ve implemented this architecture? Check out our GitHub and explore the code.

As a developer, I’ve always been fascinated by the complexities of Amazon e-commerce. In this article, I’ll take you on a technical journey of how we built our Amazon Capital Protection Intelligence, a solution that empowers sellers with data-backed strategy.

Our solution uses a combination of n8n, Vector DBs, and Webhooks to process and analyze large datasets in real-time. The ‘Brand Moats’ detection algorithm is a key component of our solution, which identifies unwinnable fights for beginners. We also developed a ‘Safe Buy Price’ and ‘Strategic Entry Risk’ assessment module, which ensures investment decisions are backed by data, not hope.

Our AWS Mumbai infrastructure provides a scalable and secure platform for our solution to operate. If you’re interested in learning more about our technical approach, click here to visit our website and explore our technical blog.

Stay tuned for more technical deep dives and insights into our Amazon e-commerce solutions.

Hey fellow developers! Are you tired of building custom integrations for your clients only to have them break down under the weight of high-volume data transfers? I faced this challenge when building a custom workflow for a client, and I knew I had to find a better solution.

That’s when I discovered n8n, a powerful workflow automation tool that can handle high-volume data transfers with ease. I built a custom n8n workflow that automated the client’s data transfers, and the results were incredible.

With n8n, I was able to create a scalable digital spine for the client’s business, reducing manual data transfers and increasing data accuracy. And the best part? The workflow was built on a stable Debian 12 production environment, ensuring that it would run smoothly even under heavy loads.

Check out our Custom Build Services and learn how we can help you build a scalable digital spine for your business.

Ready to take your workflow automation to the next level? Contact us today to schedule a consultation and let’s get started on building your custom n8n workflow.

I recently built a 24/7 digital receptionist using n8n and Vector DBs. The goal was to create a system that could answer calls instantly, identify the caller’s needs, and log everything while my team is away. Here’s a high-level overview of the architecture:

Webhooks: I used webhooks to receive incoming call data from our phone system. The webhook sends a JSON payload to n8n, which triggers the workflow.

n8n: n8n is the workflow engine that runs the logic for answering calls and identifying the caller’s needs. I used a combination of JSON and Vector DBs to store and retrieve caller data.

Vector DBs: Vector DBs are a type of NoSQL database that allows for fast and efficient storage and retrieval of caller data. I used Vector DBs to store caller information, such as name, phone number, and reason for calling.

By leveraging n8n and Vector DBs, I was able to build a robust and scalable system that can handle a high volume of calls. If you’re interested in building a similar system, I’d be happy to share more details.

Check out our AI Voicebot solution for more information on how we can help you build a 24/7 digital receptionist.

#ShahiRaj #n8n #VectorDBs

I recently worked on a project that involved building a digital gatekeeper using n8n and Vector DBs. The goal was to automate the qualification process for website visitors and empower the sales team to focus on high-quality leads. Here’s a high-level overview of the architecture:

1. n8n workflow captures intent, budget, and contact info from website visitors.
2. Vector DBs store the qualified leads and sync with the AWS Mumbai database.
3. The sales team receives only ‘hot’ leads, ensuring they can focus on closing deals.

The result was a significant reduction in lead leakage and an increase in conversion rates. By automating the front-line qualification, we empowered the sales team to do what they do best – close deals. Get in touch if you’d like to learn more about this project and how we can help you build your own 24/7 digital gatekeeper.

Hey developers! I just had the chance to play with the latest AI-powered photography tool from Shahi Raj, ProductStudioAI. I was blown away by how easy it was to generate 8 distinct, pro-grade scenes for my product, including a transparent PNG for my website.

The process was seamless – I just sent one photo to ProductStudioAI and waited for the magic to happen. The result? A full gallery on Google Drive with SEO-ready names, all for just ₹100 per product. It’s like having a professional photographer on demand!

I’m excited to see how this tool will transform my product catalog and boost my sales. If you’re a D2C seller looking to elevate your brand’s aesthetic without breaking the bank, give ProductStudioAI a try. DM ‘STUDIO’ and get your 8 pro shots in under 3 minutes.

ProductStudioAI is the perfect solution for developers who want to take their product photography to the next level. Trust me, you won’t be disappointed!

Tags: #ShahiRaj #ProductStudioAI #AIpoweredphotography #D2Cseller #Developer

Hello fellow developers! Today, I’d like to share with you a project I recently worked on – a custom n8n workflow designed to automate data routing and syncing for a client’s operations.

Problem Statement: The client was manually ‘copy-pasting’ data between WhatsApp, Sheets, and their CRM, which was causing a bottleneck in their operations. We needed to build a system that could automate this process and free up their team’s time.

Technical Solution: I designed a custom n8n workflow using a combination of Webhooks, Vector DBs, and Debian 12/AWS Mumbai server hosting. This setup allowed us to route 800+ shipping updates seamlessly and sync leads from their web widget.

Code Logic: The custom n8n workflow is built using a series of nodes that trigger and update each other in real-time. I’ll be sharing more about the code logic and architecture in a future post.

Want to learn more about building custom n8n workflows? Get in touch with us today, and let’s discuss your project requirements.