Blog

I’m excited to share my experience building the Logistics Sentinel, an AI-powered e-commerce tracking solution that automates the monitoring of shipments. The system tracks over 800 Shipmozo and BigShip shipments hourly, leveraging the power of Vector DBs and Webhooks to provide real-time updates. By using n8n as our workflow automation tool, we were able to integrate various APIs and services, ensuring seamless data exchange and processing.

One of the key challenges we faced was developing a robust exception handling system, which would alert our users to any shipment delays or issues. Using Gmail and Telegram APIs, we created a notification system that would immediately alert our users, ensuring timely customer service and reducing the likelihood of ‘Where is my order?’ calls.

Want to learn more about the technical details behind Logistics Sentinel? Check out our GitHub repository for the code and architecture.

In this post, I’ll dive into the technical details of building the ₹100 Professional Studio, a product photography solution that uses AI to generate professional scenes in under 3 minutes.

The studio uses a Telegram bot to receive raw photos from users, which are then processed using a combination of machine learning algorithms and computer vision techniques. The output is a set of 8 professional scenes, including marketplace backgrounds, lifestyle shots, and a transparent PNG.

But what makes this solution so powerful is the way it integrates with Google Drive to provide an SEO-ready folder for each product. This empowers users to scale their catalog without needing a photographer, making it a game-changer for e-commerce businesses.

Want to learn more about the tech behind the ₹100 Professional Studio? Check out our solutions and get in touch with our team to learn more about how we can help you grow.

#ShahiRaj #ProductStudioAI #AIpowered #EcommSolutions

In this post, I’ll walk you through building a 24/7 caller assistant using Exotel and AWS. The goal is to create a system that answers every call instantly, qualifies the caller, answers basic questions, and captures requirements with human-like precision.

We’ll use Exotel for handling incoming calls and AWS for storing and processing the caller information. I’ll share the code and architecture used to build this system.

Here’s the high-level architecture: Shahi Raj‘s AI Voicebot uses Exotel to receive incoming calls and then leverages AWS to process the caller information.

This allows us to create a 24/7 caller assistant that never sleeps and always has a professional front-line. Ready to build your own 24/7 caller assistant? Contact us for more information.

#ShahiRaj #Exotel #AWS #CallerAssistant

I’m excited to share my experience building ProductStudioAI, a cutting-edge solution that uses AI to generate high-quality product shots in under 3 minutes.

ProductStudioAI is built on top of n8n, a powerful workflow automation platform, and Vector DBs for efficient image storage and retrieval. Webhooks are used to integrate with Telegram, enabling seamless communication between the bot and users.

The AI engine is trained on a vast dataset of product images, allowing it to analyze and generate accurate and professional-looking shots. The entire process is automated, eliminating the need for manual intervention and ensuring consistency across all products.

One of the key challenges I faced during development was optimizing the AI engine for performance and scalability. By leveraging Vector DBs and n8n’s workflow automation capabilities, I was able to achieve impressive results and ensure a seamless user experience.

Ready to explore the technical details of ProductStudioAI? Head over to our website to learn more.

#ShahiRaj #ProductStudioAI #AIpoweredSolutions #TechnicalDeepDive

At ProductStudioAI, we’re passionate about empowering e-commerce sellers with cutting-edge technology. In this post, I’ll delve into the tech stack that powers our Content-on-Demand Studio, which enables you to generate 8 pro-grade shots from a single photo in under 3 minutes. Our platform leverages the power of n8n, Vector DBs, and Webhooks to deliver seamless and efficient content creation. By integrating these technologies, we’ve created a scalable and reliable solution that meets the demands of modern e-commerce. Learn more about our tech stack. #ProductStudioAI #ShahiRaj #TechStack

I recently built a Custom n8n Workflow for a client that saved them hours of manual data work every week. The workflow used Vector DBs to store shipping updates and Webhooks to sync data in real-time. n8n proved to be an excellent choice for this project due to its flexibility and scalability.

The workflow was designed to handle over 800+ shipping updates per week, and it did so with ease. The client was able to log off on time, knowing that their Debian 12/AWS Mumbai server was handling the heavy lifting. Learn more about our development process and how we can help you build a high-performance digital spine.

Reach out to me directly if you’re interested in learning more about this project or want to discuss a similar project for your business.

I was blown away by the power of ProductStudioAI’s 8-Shot AI Studio. As a developer, I love how it leverages AI to generate high-quality product photography in under 3 minutes. With just a single photo sent via Telegram, the studio assists by generating 8 professional scenes, including marketplace gradients, lifestyle shots, and a transparent PNG.

Here’s a peek at the code logic behind ProductStudioAI’s magic:

n8n workflows handle the image processing and webhooks for seamless integration with Google Drive.
Vector DBs power the AI-driven scene generation, ensuring lightning-fast rendering times.
Webhooks enable real-time updates and notifications for sellers, streamlining the product launch process.

With ProductStudioAI, I can empower e-commerce sellers to launch high-quality products quickly and efficiently. If you’re a developer looking to make a dent in the e-commerce space, check out ProductStudioAI and see how you can build your own instant catalog solution.

As a developer, I’m always looking for ways to automate and streamline processes. That’s why I’m excited to share my experience building a digital front desk using n8n, Vector DBs, and Webhooks.

The goal was to create a seamless appointment scheduling experience for clients, eliminating the need for back-and-forth communication. I used n8n to integrate with Google Calendar and AWS Mumbai, and Vector DBs to store client information. Webhooks enabled real-time notifications and updates.

Want to see the code? Check out the GitHub repository and learn how to build your own digital front desk.

I’m thrilled to share the latest upgrade to the MisriCalendarBot, a project I’ve been working on to bridge the gap between ancient calendars and modern digital convenience. As the lead developer, I’m excited to showcase the technical advancements we’ve made.

With this upgrade, we’ve transitioned from a daily notifier to a full-scale Calendar Engine, powered by our reliable AWS/Debian infrastructure. The new dynamic input allows users to input any date, month, and year, along with their location, to get instant Hijri/Misri conversions and Miqaat data.

Our architecture is built on top of n8n, leveraging its robust workflows and Webhooks to integrate with Vector DBs for high-performance data retrieval. The result is a seamless user experience that empowers users with high-precision data from anywhere in the world.

As a developer, I’m proud to have contributed to this innovative solution that makes tradition accessible through intelligent automation. Experience the power of the MisriCalendarBot today and discover a new way to plan for the future.

Want to learn more about the technical details? Check out our Shahi Raj blog for in-depth insights.

#ShahiRaj #MisriCalendarBot #Automation #Development

As a developer, I’ve worked on several Custom RAG AI Agent projects. The goal is to create a private, internal ‘Google’ for a company’s specific data.

We use a Debian 12 production environment, which provides accurate, context-aware answers in seconds. This is achieved through a combination of natural language processing (NLP) and machine learning (ML) algorithms.

The AI agent is built using n8n and Vector DBs, with webhooks integrated for seamless communication. This setup enables fast and reliable knowledge retrieval, empowering sales and support teams to close deals with confidence.

Want to learn more about building a Custom RAG AI Agent? Check out our expertise and let’s discuss your project.