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If your team is spending this Monday morning manually updating Excel sheets instead of launching your brand on new marketplaces, your operational velocity is stalled.

As a brand owner, you know that expanding to Flipkart and Myntra is crucial to hitting your scaling goals. However, the thought of weeks of manual flat-file formatting, listing rejections, and compliance roadblocks can be daunting.

That’s where the Shahi Raj Marketplace Engine comes in – we take the entire cataloging burden off your plate by programmatically pulling your live Amazon data and using our internal automation pipelines to instantly format and validate it for multi-channel deployment.

With our assistance, you’re empowered to expand your market footprint to millions of new buyers simultaneously. Our robust, high-performance AWS Mumbai server infrastructure (Debian 12) ensures your listings go live at maximum speed, while your team stays focused entirely on fulfillment and growth.

We assist with the complex compliance mapping to empower horizontal channel expansion, scaling your multi-platform revenue streams without increasing your headcount. Learn more about our services at https://www.shahiraj.com.

Ready to scale your brand across India’s top marketplaces this week? Comment ‘LAUNCH’ below, and I will instantly DM you our step-by-step 48-Hour Cross-Boarding Blueprint.

While you take a break this weekend, millions of active shoppers on Flipkart and Myntra are looking for your exact products—but they can’t find you. By Friday evening, e-commerce founders are logging off, hoping for a strong weekend sales surge on Amazon. But relying on a single storefront means your weekend growth is entirely capped.

The Shahi Raj Marketplace Engine assists by handling the entire technical cross-boarding process in the background. We migrate your catalog data seamlessly while you are off-duty, empowering you to wake up to multiple active, synchronized sales channels. Supported by our scalable AWS Mumbai infrastructure (Debian 12), your automated expansion runs flawlessly without demanding a single minute of your weekend free time.

Learn more about how we can help you maximize your market reach with zero manual overhead at https://www.shahiraj.com.

Ready to stop letting single-channel limits bleed your weekend revenue? Comment ‘LAUNCH’ below, and I will instantly DM you our step-by-step 48-Hour Cross-Boarding Blueprint.

Ever wondered how we automate the process of extracting live Amazon listings and transforming them for Flipkart and Myntra? Our Shahi Raj Onboarding Service uses a combination of n8n workflows, Vector DBs, and Webhooks to make it seamless. Here’s a high-level overview of how we built the Instant Catalog Clone:

We use n8n’s visual interface to design and automate workflows that extract product information from Amazon and reformat it to meet the compliance rules of Flipkart and Myntra. Our Vector DBs store the transformed data, which is then used to populate the product listings on the target marketplaces.

The magic happens when we trigger the Webhooks to send the updated product data to the respective marketplaces. It’s a complex technical process, but our team has perfected it to ensure a smooth and efficient experience for our clients. If you’re interested in learning more about our technical setup, drop us a message and let’s schedule a call.

I recently worked on building a marketplace onboarding service using n8n and Vector DBs. The goal was to automate the process of creating listings on multiple e-commerce platforms like Amazon, Flipkart, and Myntra.

We used n8n’s workflow automation capabilities to integrate with various APIs and webhooks. Vector DBs were used to store and transform the data for each platform’s specific requirements.

The result was a seamless onboarding experience for our clients, who could now launch their brands on multiple platforms simultaneously. Our internal AI and automation stack handled the heavy lifting of data transformation, eliminating the need for manual cataloging efforts.

Want to learn more about how we built this service? Contact us to schedule a technical discussion.

The Tech Behind Instant Studio

I’m excited to share my experience building Instant Studio, a product that leverages AI technology to transform raw product photos into premium brand imagery.

The challenge was to create a solution that could automatically erase cluttered backgrounds, place items into photorealistic scenes, and generate clean, modern visuals using professional palettes. To achieve this, we utilized a combination of n8n workflows, Vector DBs, and Webhooks.

The n8n workflow allows us to orchestrate the entire pipeline, from image processing to scene generation. Vector DBs enable fast and efficient storage of high-quality images, while Webhooks facilitate seamless communication between services.

The result is a highly scalable and reliable solution that can process thousands of images in seconds.

Want to learn more about how we built Instant Studio? Get in touch with me directly.

I recently led the development of the Frictionless Booking Engine, an AI-powered meeting scheduler that integrates with WhatsApp and Telegram. The goal was to create a seamless scheduling experience that reads natural language commands and checks real-time availability via secure Google Calendar integrations.

The tech stack consisted of n8n for workflow automation, Vector DBs for efficient data storage, and Webhooks for real-time event handling. Our AWS Mumbai-hosted infrastructure securely automates the pipeline in the background.

One of the key challenges was implementing natural language processing to handle user input. We utilized a combination of machine learning algorithms and rule-based systems to achieve this.

Want to learn more about the technical details behind the Frictionless Booking Engine? Reach out to me at abdeali@shahiraj.com.

#ShahiRaj

As a developer, you’re likely familiar with the challenges of building scalable and efficient lead generation systems. Our AI Lead Gen Widget is a cutting-edge solution that leverages the power of AI to qualify leads in real-time. In this post, we’ll dive into the technical details of how it works.

Our solution is built on top of a robust tech stack, including n8n, Vector DBs, and Webhooks. By integrating these technologies, we’re able to create a seamless and efficient lead qualification process that flags hot opportunities in real-time.

One of the key benefits of our AI Lead Gen Widget is its ability to handle high volumes of traffic while maintaining a low-latency response time. This is achieved through a combination of load balancing, caching, and optimized database queries.

Want to take a closer look at the code? Visit our website to access our public demonstration bot on Telegram and see how our AI Lead Gen Widget works in action.

#ShahiRaj #LeadGen #TechStack

I’m thrilled to share the technical implementation details of our newly upgraded visual engine for generating high-resolution Arabic script images of any Ayah in our Al Quran al Kareem Bot.

Using the power of AWS Mumbai deployment, we’ve streamlined the image generation process, allowing users to request a beautiful, clean image of any specific Ayah or range directly within the bot.

With natural, flexible commands and multilingual search capabilities, our bot empowers users to focus on their Quran study without worrying about administrative tasks.

Here’s a brief overview of the technical components involved:

• N8n workflow for processing user requests
• Vector DBs for efficient data storage and retrieval
• Webhooks for seamless integration with Telegram

Explore the technical aspects of our Al Quran al Kareem Bot and learn from our expertise.

I’m excited to share the technical details behind the Pocket Quran Academy, an innovative solution that streamlines your daily spiritual routine.

The Al Quran Audio Bot, a key component of the Pocket Quran Academy, is built using a custom engine that processes natural commands in English, Hindi, Urdu, or Arabic. The bot uses an n8n workflow to integrate with various APIs, including those for Quranic text and audio.

To power the bot, I leveraged the Vector DBs to store and retrieve Quranic data efficiently. Webhooks were also used to establish real-time communication between the bot and the user.

The application’s frontend is built using a lightweight framework, allowing for seamless integration with the Telegram API. The user interface is designed to be intuitive, enabling users to easily navigate and access Quranic content.

At Shahi Raj, we’re committed to delivering production-grade solutions that run flawlessly on our AWS Mumbai infrastructure. The Pocket Quran Academy is a testament to our expertise in building custom engines that cater to the needs of our clients.

Ready to learn more about the technical aspects of the Pocket Quran Academy? DM me ‘QURAN’ to discuss further.

As a developer, I’m always on the lookout for ways to improve productivity and streamline workflows.

That’s why I’m excited to share my experience building an AI Email Briefing & Summarizer using Groq AI, which helps scan unread emails across multiple Gmail accounts and delivers a clean, bulleted executive digest to Telegram.

Here’s a high-level overview of the architecture:

• n8n for workflow automation and email scanning
• Vector DBs for efficient data storage and retrieval
• Webhooks for real-time updates and notifications

By leveraging these technologies, we’ve created a powerful tool that helps business owners prioritize their morning workflow and make executive decisions with confidence.

Want to learn more about the tech stack behind our AI Email Briefing & Summarizer? Get in touch and let’s discuss further!