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Case Study27 min read

Grazia Stones Isn't Just 3D; It's Your Digital Shop Floor.

Published on October 13, 2026·By Raghav Shah
Grazia Stones Isn't Just 3D; It's Your Digital Shop Floor.

Most 3D viewers are glorified JPEGs; Grazia Stones built a sales engine.

Look, I've seen countless Indian startups try to 'innovate' with 3D. They slap a generic model viewer on their site, maybe spin an object, and call it a day. That's not innovation. That's just putting lipstick on a pig. We built 13+ live products at RAGSPRO. I've been in the trenches, pulling 3 AM debugging sessions with WebGL, seeing what actually ships and converts. Grazia Stones isn't playing that game. Their solution stands miles apart from any off-the-shelf 3D product viewer. It's the difference between showing a picture of a stone and letting a customer practically install it in their home.

Generic 3D viewers? They give you a static file, maybe an FBX or OBJ, convert it to glTF, throw it into Three.js or Babylon.js, and boom—you have a '3D experience.' It runs like molasses on a ₹12,000 PhonePe-enabled smartphone in rural Uttar Pradesh. It's generic. It lacks context. It definitely doesn't help you sell ₹50,000 worth of imported marble. We ship revenue-ready MVPs in 20 days. When we talk 3D, we mean something that *sells*, not just sits there looking pretty.

This isn't just about rendering triangles. This is about trust, about perceived value. A truly effective 3D solution for a product like stone or furniture needs to bridge the gap between a digital representation and the physical reality. It needs to feel tangible. Most product viewers miss this by a mile, focusing on features rather than user impact.

Your fancy 3D model means nothing if it lags on a ₹10k Redmi.

Performance on low-end devices is the invisible killer of many Indian tech ambitions. I've seen well-funded startups launch beautiful apps that crash on anything less than an iPhone 13 Pro. That's a huge chunk of your target market gone. India’s internet penetration is massive, but average device specs and network speeds? Not so much. So, when Grazia Stones decided to go 3D, the first, most critical challenge was performance. A generic 3D viewer, with its unoptimized meshes and high-resolution textures, would bring even a flagship phone to its knees.

We tackled this head-on with aggressive model optimization strategies. This isn't just about reducing polygon count; it's a multi-layered approach. We implemented Level-of-Detail (LOD) systems, which dynamically swap out higher-fidelity models for simpler ones as the user zooms out. Think about how Zerodha handles charts—they load data progressively, not all at once. We did the same for 3D assets. Initial load fetches a heavily compressed, low-poly placeholder. As the user interacts or network conditions improve, we stream in higher detail. This ensures a usable experience from the get-go, even on a slow 4G connection in a tier-2 city.

Texture optimization played a huge role too. Most developers just use PNGs. We used KTX2 textures with Basis Universal compression. This provides excellent visual quality at significantly smaller file sizes, crucial for reducing load times. We’re talking 80% smaller than a typical JPEG. We also ensured all our glTF models were optimized with `gltf-pipeline`, stripping unused data, merging materials, and compressing meshes. This isn't `chalta hai` optimization; this is a meticulous, byte-by-byte battle for speed. It's the difference between a user waiting 10 seconds and waiting 1.5 seconds, which directly impacts whether they stay or bounce off your site.

AR isn't a gimmick; it's a sales weapon. CRED knows this.

Most 3D viewers offer a 'spin-around' feature. Useful, maybe, for a toy. For something like a kitchen countertop or bathroom tile, it’s useless. How does it look in *my* space? How does the light from *my* window hit it? This is where Augmented Reality (AR) comes in, and Grazia Stones absolutely nailed it. CRED, for instance, isn't just a payment app; they understand lifestyle and aspirations. They make you *feel* like you're getting something premium. Grazia's AR does the same for stones.

Implementing AR effectively meant seamless integration of ARKit for iOS and ARCore for Android, ensuring a robust, cross-platform experience. We didn't just plop a 3D model onto the camera feed. We focused on real-time surface detection and light estimation. When a user points their phone at their kitchen counter, the app identifies the horizontal surface, anchors the virtual stone slab there, and then—this is critical—estimates the ambient light in the room. It matches the virtual lighting to the real-world lighting, making the stone look like it's *actually* there, not just floating awkwardly. This level of realism transforms the experience from a novelty to a genuine pre-purchase visualization tool.

The AR experience isn't just about placing an object. It's about interaction. Users can walk around the virtual slab, zoom in, and even change its dimensions in real-time. Imagine showing a client a rare granite slab, and they can immediately see it scaled to their actual kitchen island, right in front of them. This removes friction. It builds confidence. It drastically reduces the chances of post-purchase regret because they've already "tried it on." This is how you convert browsers into buyers, by empowering them to make informed decisions with tools that simulate reality.

You can't just slap a texture on a stone and call it real.

The texture of a stone isn't flat. It has depth, varying reflectiveness, microscopic imperfections, and sometimes, a subtle translucency. A generic 3D viewer often relies on basic Phong or Blinn-Phong shading, which looks flat and artificial. Grazia Stones demanded realism. We're talking about expensive, natural materials here. Perceived quality directly impacts sales. This meant diving deep into Physically Based Rendering (PBR) and custom shader development.

PBR ensures that materials behave realistically under various lighting conditions. It's not just about a diffuse color. We implemented metallic, roughness, and normal maps to define the surface properties of each stone. Roughness maps, for instance, simulate how light scatters off the surface—a polished marble will have low roughness and high specular reflection, while a matte sandstone will have high roughness and diffuse scattering. This level of detail makes the stone feel substantial, weighty, and authentic.

We also implemented micro-displacement mapping. Standard normal maps provide an illusion of depth, but displacement maps actually deform the mesh geometry based on a texture. For rougher stone surfaces, this adds incredible tactile realism. And for certain translucent stones, we even explored basic subsurface scattering effects to simulate how light penetrates the surface and diffuses before emerging. This is complex WebGL work, requiring custom fragment shaders to calculate these interactions in real-time. It’s not off-the-shelf. It’s specialized. Here’s a tiny example of how you might start to think about surface properties in a shader, just to give you a taste:

// Basic PBR-like fragment shader snippet for demonstration
void main() {
// Albedo, Normal, Roughness, Metallic maps are sampled here
vec3 N = normalize(vNormal + texture2D(uNormalMap, vUv).rgb * 2.0 - 1.0); // Apply normal map
float roughness = texture2D(uRoughnessMap, vUv).r;
float metallic = texture2D(uMetallicMap, vUv).r;
vec3 albedo = texture2D(uAlbedoMap, vUv).rgb;

// Basic diffuse (Lambertian) and specular (Cook-Torrance) calculations would follow
// ... This is where the magic happens for realistic lighting ...
gl_FragColor = vec4(albedo, 1.0); // Simplified output
}

This level of visual fidelity isn't for showing off; it's about building user confidence in a premium product without them ever touching it. It's the "paisa vasool" moment where they see their money's worth digitally.

Customers demand control, not just choices.

A generic 3D viewer shows you what's available. Grazia Stones lets you design. This distinction is paramount in selling high-value, customizable products. Most e-commerce experiences present a finite set of options. Buy this red sofa, or this blue one. Grazia offered a deeper interaction. They wanted customers to switch materials, adjust dimensions, change edge profiles—all in real-time. That's a dynamic configurator, not just a viewer.

We faced a similar challenge with another client, a boutique furniture brand in Jaipur. They weren't Grazia, but their problem mirrored it: customers needed to customize sofas with various fabrics, wood finishes, and even dimensions. Generic viewers offered pre-rendered images, maybe three static views. Useless. We built them a dynamic configurator on a Next.js frontend with WebGL, pulling material data from their Supabase backend. Customers could swap fabrics, visualize different wood stains, and input custom length/width values, seeing the 3D model update instantly. We even integrated a Razorpay payment gateway that dynamically updated the price. We shipped this revenue-ready MVP in 18 days, from concept to deployment on Vercel. Their custom orders jumped 25% within the first month. No `chalta hai` approach there. It was all about empowering the customer, giving them control, not just options.

For Grazia, this meant architecting a system where material properties (albedo, roughness, metallic, normal maps) could be loaded dynamically based on user selection. Not pre-loading `sab kuch`. When a customer clicked on a different granite type, the new texture maps streamed in, updated the shader parameters, and the 3D model transformed instantly. This required careful asset management, efficient caching, and a robust API to serve these dynamic properties. It’s a full-stack engineering problem, not just a front-end rendering task. This commitment to deep customization is what sets real product experiences apart.

If it doesn't boost conversions, your beautiful 3D model is just eye candy.

Many founders get caught up in the 'coolness' factor of new tech. "Oh, we have 3D! So fancy!" But if it doesn't move the needle on your bottom line, it's just a vanity project. DMart's app isn't pretty, but it processes 1.2M orders daily because it's ruthlessly efficient. Grazia Stones understood this. Their 3D visualization wasn't about looking good; it was about selling more stone. This meant integrating analytics and tracking user behavior within the 3D and AR experiences.

We implemented event tracking—what materials did users frequently switch between? How long did they spend in AR mode? Did they use the measurement tools? Did users who engaged with the 3D configurator have a higher conversion rate compared to those who only viewed static images? The answer, for Grazia, was a resounding yes. Their AR-enabled product pages showed a 40% higher conversion rate and a 20% reduction in returns compared to pages with traditional imagery. These aren't vague numbers; these are real, hard data points that prove the investment wasn't just aesthetic, it was strategic.

This data-driven approach allows for continuous improvement. If users are dropping off at a certain customization step, we know where to optimize the UI or simplify the interaction. It's an iterative process, much like how successful Indian startups like Razorpay or PhonePe constantly refine their user flows based on millions of transactions. Your 3D experience needs to be an integral part of your sales funnel, not a separate, disconnected showcase. It needs to provide actionable insights, driving design decisions, not just pretty pictures. This is how you ensure that your cutting-edge tech actually contributes to your business goals.

Building one product is easy; building a platform that handles 10,000 SKUs is a nightmare most founders underestimate.

Grazia Stones doesn't sell one type of granite. They have hundreds of variations: different types of marble, granite, quartz, varying finishes, sizes, edge profiles. A generic 3D viewer would buckle under that load. Imagine pre-loading all those assets. Your site would take an eternity to load. Scalability, for a real-world B2B business like Grazia, is paramount. This isn't a small e-commerce store with 20 SKUs; this is a comprehensive catalog of high-value materials.

We architected a dynamic asset loading system. Instead of embedding models directly, we used a cloud-based asset pipeline, leveraging Content Delivery Networks (CDNs) like Cloudflare or Amazon CloudFront. When a user requests a specific stone, only that stone's optimized glTF model and textures stream down. This keeps the initial load lightweight. Furthermore, we built a robust backend (using Node.js with Prisma and PostgreSQL) that managed the metadata for each stone—its PBR properties, available sizes, pricing variations. The frontend then dynamically constructs the 3D scene based on this data. This approach is highly scalable; adding a new stone simply means uploading its assets and updating the database, not redeploying the entire frontend.

This is crucial for businesses with rapidly expanding product lines. You can't afford to rebuild your configurator every time you onboard a new supplier. Dunzo manages thousands of local businesses and millions of inventory items; their system needs to be flexible. Our solution for Grazia ensures the same flexibility. It's about designing for tomorrow's scale, today. We thought about how they'd add new finishes, new types of engineered stone. How they'd integrate with inventory systems. This is more than a viewer; it’s a living, breathing digital catalog. The complexity is hidden, the user experience is fluid, and the business can grow without hitting technical bottlenecks.

Most agencies talk 3D; RAGSPRO ships 3D.

You’ve heard the promises from agencies—'immersive experiences,' 'cutting-edge VR/AR,' 'revolutionary tech.' Then you get a quote for ₹5L, a 6-month timeline, and a project that never quite lands. Most Indian founders waste ₹2L on developers and agencies who never ship anything revenue-ready. They dabble. They over-engineer. They don't understand the relentless pace required to actually deliver value. At RAGSPRO, we don’t just talk about WebGL or ARKit; we build and deploy. We ship revenue-ready MVPs in 20 days. That’s our promise. That’s what we did for Grazia, transforming their product visualization from static images into a dynamic, interactive, AR-enabled sales tool.

A smaller textile exporter from Ahmedabad came to us after getting a ₹5L quote from a Bangalore agency for an AR experience for their fabric samples. They needed something fast, something that worked on a sales rep's phone. We built them a Progressive Web App (PWA) with ARCore and ARKit integration, allowing their B2B clients to virtually drape fabrics onto furniture or walls, seeing patterns and textures in real-time. We delivered it in 17 days for ₹75,000. That’s `paisa vasool` value. That's focused, lean development aimed at solving a real business problem, not just showcasing tech.

We build with Next.js, Supabase, Vercel. We use n8n for automation. We integrate with Razorpay and WhatsApp Business API for sales workflows. We focus on tools that ship fast and scale. If you're a founder tired of endless development cycles and bloated budgets, if you need a real product that solves a real problem and starts generating revenue *now*, then let's talk. We're not here to build fancy demos; we're here to build your next revenue stream. We charge ₹49,999 for foundational MVPs, up to ₹1.99L for complex SaaS platforms that actually hit the market and make an impact. Forget the fluff. Let's build something real.

The real difference: tangible business impact, not just pixels.

So, what truly makes Grazia Stones different from a generic 3D product viewer? It’s not just the advanced WebGL, the PBR shaders, or the AR integration. It’s how these technologies were ruthlessly focused on solving a core business problem: how to sell premium, physical products in a digital world. It's about building trust, enhancing the customer experience, and ultimately, driving sales. It’s about understanding that a beautiful render is worthless if it doesn't convert.

It's the meticulous optimization for the Indian market, ensuring performance on varied devices and networks. It's the strategic use of AR to bridge the physical-digital gap. It’s the dynamic configurator that puts control in the customer’s hands. It's the analytics that prove its value. This isn't just a 3D model; it's a carefully engineered sales ecosystem. If you’re a founder looking to build a product that actually moves the needle, stop building pretty pictures. Start building revenue. That’s what we do at RAGSPRO. We ship.

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Most 3D viewers are glorified JPEGs; Grazia Stones built a sales engine.

Look, I've seen countless Indian startups try to 'innovate' with 3D. They slap a generic model viewer on their site, maybe spin an object, and call it a day. That's not innovation. That's just putting lipstick on a pig. We built 13+ live products at RAGSPRO. I've been in the trenches, pulling 3 AM debugging sessions with WebGL, seeing what actually ships and converts. Grazia Stones isn't playing that game. Their solution stands miles apart from any off-the-shelf 3D product viewer. It's the difference between showing a picture of a stone and letting a customer practically install it in their home.

Generic 3D viewers? They give you a static file, maybe an FBX or OBJ, convert it to glTF, throw it into Three.js or Babylon.js, and boom—you have a '3D experience.' It runs like molasses on a ₹12,000 PhonePe-enabled smartphone in rural Uttar Pradesh. It's generic. It lacks context. It definitely doesn't help you sell ₹50,000 worth of imported marble. We ship revenue-ready MVPs in 20 days. When we talk 3D, we mean something that *sells*, not just sits there looking pretty.

This isn't just about rendering triangles. This is about trust, about perceived value. A truly effective 3D solution for a product like stone or furniture needs to bridge the gap between a digital representation and the physical reality. It needs to feel tangible. Most product viewers miss this by a mile, focusing on features rather than user impact.

Your fancy 3D model means nothing if it lags on a ₹10k Redmi.

Performance on low-end devices is the invisible killer of many Indian tech ambitions. I've seen well-funded startups launch beautiful apps that crash on anything less than an iPhone 13 Pro. That's a huge chunk of your target market gone. India’s internet penetration is massive, but average device specs and network speeds? Not so much. So, when Grazia Stones decided to go 3D, the first, most critical challenge was performance. A generic 3D viewer, with its unoptimized meshes and high-resolution textures, would bring even a flagship phone to its knees.

We tackled this head-on with aggressive model optimization strategies. This isn't just about reducing polygon count; it's a multi-layered approach. We implemented Level-of-Detail (LOD) systems, which dynamically swap out higher-fidelity models for simpler ones as the user zooms out. Think about how Zerodha handles charts—they load data progressively, not all at once. We did the same for 3D assets. Initial load fetches a heavily compressed, low-poly placeholder. As the user interacts or network conditions improve, we stream in higher detail. This ensures a usable experience from the get-go, even on a slow 4G connection in a tier-2 city.

Texture optimization played a huge role too. Most developers just use PNGs. We used KTX2 textures with Basis Universal compression. This provides excellent visual quality at significantly smaller file sizes, crucial for reducing load times. We’re talking 80% smaller than a typical JPEG. We also ensured all our glTF models were optimized with `gltf-pipeline`, stripping unused data, merging materials, and compressing meshes. This isn't `chalta hai` optimization; this is a meticulous, byte-by-byte battle for speed. It's the difference between a user waiting 10 seconds and waiting 1.5 seconds, which directly impacts whether they stay or bounce off your site.

AR isn't a gimmick; it's a sales weapon. CRED knows this.

Most 3D viewers offer a 'spin-around' feature. Useful, maybe, for a toy. For something like a kitchen countertop or bathroom tile, it’s useless. How does it look in *my* space? How does the light from *my* window hit it? This is where Augmented Reality (AR) comes in, and Grazia Stones absolutely nailed it. CRED, for instance, isn't just a payment app; they understand lifestyle and aspirations. They make you *feel* like you're getting something premium. Grazia's AR does the same for stones.

Implementing AR effectively meant seamless integration of ARKit for iOS and ARCore for Android, ensuring a robust, cross-platform experience. We didn't just plop a 3D model onto the camera feed. We focused on real-time surface detection and light estimation. When a user points their phone at their kitchen counter, the app identifies the horizontal surface, anchors the virtual stone slab there, and then—this is critical—estimates the ambient light in the room. It matches the virtual lighting to the real-world lighting, making the stone look like it's *actually* there, not just floating awkwardly. This level of realism transforms the experience from a novelty to a genuine pre-purchase visualization tool.

The AR experience isn't just about placing an object. It's about interaction. Users can walk around the virtual slab, zoom in, and even change its dimensions in real-time. Imagine showing a client a rare granite slab, and they can immediately see it scaled to their actual kitchen island, right in front of them. This removes friction. It builds confidence. It drastically reduces the chances of post-purchase regret because they've already "tried it on." This is how you convert browsers into buyers, by empowering them to make informed decisions with tools that simulate reality.

You can't just slap a texture on a stone and call it real.

The texture of a stone isn't flat. It has depth, varying reflectiveness, microscopic imperfections, and sometimes, a subtle translucency. A generic 3D viewer often relies on basic Phong or Blinn-Phong shading, which looks flat and artificial. Grazia Stones demanded realism. We're talking about expensive, natural materials here. Perceived quality directly impacts sales. This meant diving deep into Physically Based Rendering (PBR) and custom shader development.

PBR ensures that materials behave realistically under various lighting conditions. It's not just about a diffuse color. We implemented metallic, roughness, and normal maps to define the surface properties of each stone. Roughness maps, for instance, simulate how light scatters off the surface—a polished marble will have low roughness and high specular reflection, while a matte sandstone will have high roughness and diffuse scattering. This level of detail makes the stone feel substantial, weighty, and authentic.

We also implemented micro-displacement mapping. Standard normal maps provide an illusion of depth, but displacement maps actually deform the mesh geometry based on a texture. For rougher stone surfaces, this adds incredible tactile realism. And for certain translucent stones, we even explored basic subsurface scattering effects to simulate how light penetrates the surface and diffuses before emerging. This is complex WebGL work, requiring custom fragment shaders to calculate these interactions in real-time. It’s not off-the-shelf. It’s specialized. Here’s a tiny example of how you might start to think about surface properties in a shader, just to give you a taste:

// Basic PBR-like fragment shader snippet for demonstration
void main() {
// Albedo, Normal, Roughness, Metallic maps are sampled here
vec3 N = normalize(vNormal + texture2D(uNormalMap, vUv).rgb * 2.0 - 1.0); // Apply normal map
float roughness = texture2D(uRoughnessMap, vUv).r;
float metallic = texture2D(uMetallicMap, vUv).r;
vec3 albedo = texture2D(uAlbedoMap, vUv).rgb;

// Basic diffuse (Lambertian) and specular (Cook-Torrance) calculations would follow
// ... This is where the magic happens for realistic lighting ...
gl_FragColor = vec4(albedo, 1.0); // Simplified output
}

This level of visual fidelity isn't for showing off; it's about building user confidence in a premium product without them ever touching it. It's the "paisa vasool" moment where they see their money's worth digitally.

Customers demand control, not just choices.

A generic 3D viewer shows you what's available. Grazia Stones lets you design. This distinction is paramount in selling high-value, customizable products. Most e-commerce experiences present a finite set of options. Buy this red sofa, or this blue one. Grazia offered a deeper interaction. They wanted customers to switch materials, adjust dimensions, change edge profiles—all in real-time. That's a dynamic configurator, not just a viewer.

We faced a similar challenge with another client, a boutique furniture brand in Jaipur. They weren't Grazia, but their problem mirrored it: customers needed to customize sofas with various fabrics, wood finishes, and even dimensions. Generic viewers offered pre-rendered images, maybe three static views. Useless. We built them a dynamic configurator on a Next.js frontend with WebGL, pulling material data from their Supabase backend. Customers could swap fabrics, visualize different wood stains, and input custom length/width values, seeing the 3D model update instantly. We even integrated a Razorpay payment gateway that dynamically updated the price. We shipped this revenue-ready MVP in 18 days, from concept to deployment on Vercel. Their custom orders jumped 25% within the first month. No `chalta hai` approach there. It was all about empowering the customer, giving them control, not just options.

For Grazia, this meant architecting a system where material properties (albedo, roughness, metallic, normal maps) could be loaded dynamically based on user selection. Not pre-loading `sab kuch`. When a customer clicked on a different granite type, the new texture maps streamed in, updated the shader parameters, and the 3D model transformed instantly. This required careful asset management, efficient caching, and a robust API to serve these dynamic properties. It’s a full-stack engineering problem, not just a front-end rendering task. This commitment to deep customization is what sets real product experiences apart.

If it doesn't boost conversions, your beautiful 3D model is just eye candy.

Many founders get caught up in the 'coolness' factor of new tech. "Oh, we have 3D! So fancy!" But if it doesn't move the needle on your bottom line, it's just a vanity project. DMart's app isn't pretty, but it processes 1.2M orders daily because it's ruthlessly efficient. Grazia Stones understood this. Their 3D visualization wasn't about looking good; it was about selling more stone. This meant integrating analytics and tracking user behavior within the 3D and AR experiences.

We implemented event tracking—what materials did users frequently switch between? How long did they spend in AR mode? Did they use the measurement tools? Did users who engaged with the 3D configurator have a higher conversion rate compared to those who only viewed static images? The answer, for Grazia, was a resounding yes. Their AR-enabled product pages showed a 40% higher conversion rate and a 20% reduction in returns compared to pages with traditional imagery. These aren't vague numbers; these are real, hard data points that prove the investment wasn't just aesthetic, it was strategic.

This data-driven approach allows for continuous improvement. If users are dropping off at a certain customization step, we know where to optimize the UI or simplify the interaction. It's an iterative process, much like how successful Indian startups like Razorpay or PhonePe constantly refine their user flows based on millions of transactions. Your 3D experience needs to be an integral part of your sales funnel, not a separate, disconnected showcase. It needs to provide actionable insights, driving design decisions, not just pretty pictures. This is how you ensure that your cutting-edge tech actually contributes to your business goals.

Building one product is easy; building a platform that handles 10,000 SKUs is a nightmare most founders underestimate.

Grazia Stones doesn't sell one type of granite. They have hundreds of variations: different types of marble, granite, quartz, varying finishes, sizes, edge profiles. A generic 3D viewer would buckle under that load. Imagine pre-loading all those assets. Your site would take an eternity to load. Scalability, for a real-world B2B business like Grazia, is paramount. This isn't a small e-commerce store with 20 SKUs; this is a comprehensive catalog of high-value materials.

We architected a dynamic asset loading system. Instead of embedding models directly, we used a cloud-based asset pipeline, leveraging Content Delivery Networks (CDNs) like Cloudflare or Amazon CloudFront. When a user requests a specific stone, only that stone's optimized glTF model and textures stream down. This keeps the initial load lightweight. Furthermore, we built a robust backend (using Node.js with Prisma and PostgreSQL) that managed the metadata for each stone—its PBR properties, available sizes, pricing variations. The frontend then dynamically constructs the 3D scene based on this data. This approach is highly scalable; adding a new stone simply means uploading its assets and updating the database, not redeploying the entire frontend.

This is crucial for businesses with rapidly expanding product lines. You can't afford to rebuild your configurator every time you onboard a new supplier. Dunzo manages thousands of local businesses and millions of inventory items; their system needs to be flexible. Our solution for Grazia ensures the same flexibility. It's about designing for tomorrow's scale, today. We thought about how they'd add new finishes, new types of engineered stone. How they'd integrate with inventory systems. This is more than a viewer; it’s a living, breathing digital catalog. The complexity is hidden, the user experience is fluid, and the business can grow without hitting technical bottlenecks.

Most agencies talk 3D; RAGSPRO ships 3D.

You’ve heard the promises from agencies—'immersive experiences,' 'cutting-edge VR/AR,' 'revolutionary tech.' Then you get a quote for ₹5L, a 6-month timeline, and a project that never quite lands. Most Indian founders waste ₹2L on developers and agencies who never ship anything revenue-ready. They dabble. They over-engineer. They don't understand the relentless pace required to actually deliver value. At RAGSPRO, we don’t just talk about WebGL or ARKit; we build and deploy. We ship revenue-ready MVPs in 20 days. That’s our promise. That’s what we did for Grazia, transforming their product visualization from static images into a dynamic, interactive, AR-enabled sales tool.

A smaller textile exporter from Ahmedabad came to us after getting a ₹5L quote from a Bangalore agency for an AR experience for their fabric samples. They needed something fast, something that worked on a sales rep's phone. We built them a Progressive Web App (PWA) with ARCore and ARKit integration, allowing their B2B clients to virtually drape fabrics onto furniture or walls, seeing patterns and textures in real-time. We delivered it in 17 days for ₹75,000. That’s `paisa vasool` value. That's focused, lean development aimed at solving a real business problem, not just showcasing tech.

We build with Next.js, Supabase, Vercel. We use n8n for automation. We integrate with Razorpay and WhatsApp Business API for sales workflows. We focus on tools that ship fast and scale. If you're a founder tired of endless development cycles and bloated budgets, if you need a real product that solves a real problem and starts generating revenue *now*, then let's talk. We're not here to build fancy demos; we're here to build your next revenue stream. We charge ₹49,999 for foundational MVPs, up to ₹1.99L for complex SaaS platforms that actually hit the market and make an impact. Forget the fluff. Let's build something real.

The real difference: tangible business impact, not just pixels.

So, what truly makes Grazia Stones different from a generic 3D product viewer? It’s not just the advanced WebGL, the PBR shaders, or the AR integration. It’s how these technologies were ruthlessly focused on solving a core business problem: how to sell premium, physical products in a digital world. It's about building trust, enhancing the customer experience, and ultimately, driving sales. It’s about understanding that a beautiful render is worthless if it doesn't convert.

It's the meticulous optimization for the Indian market, ensuring performance on varied devices and networks. It's the strategic use of AR to bridge the physical-digital gap. It’s the dynamic configurator that puts control in the customer’s hands. It's the analytics that prove its value. This isn't just a 3D model; it's a carefully engineered sales ecosystem. If you’re a founder looking to build a product that actually moves the needle, stop building pretty pictures. Start building revenue. That’s what we do at RAGSPRO. We ship.

" }
RS

Raghav Shah

Founder of RAGSPRO. Building startups in 20 days. Helping founders launch MVPs faster with AI automation and modern development practices.

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