In an increasingly digital and convenience-driven market, the motorcycle retail industry is rapidly adapting to immersive technologies to meet evolving customer expectations. Twin Reality developed an Augmented Reality (AR) visualization experience that empowers customers to interact with a virtual replica of a motorbike—right from the comfort of their homes. The experience bridges the gap between in-showroom product feel and online browsing convenience, setting a new standard in vehicle retail.
Key Results:
🚀 Delivered an immersive AR solution allowing users to visualize motorcycles in their real-world environment using mobile devices.
📈 Improved customer product understanding and engagement, leading to stronger pre-sales interest and lead conversions.
🔧 Enabled vehicle feature interactivity (colors, parts zoom, environment view) that reduced showroom dependency.
Revenue in the AR & VR market market worldwide
Why This Case Matters:
Bridges the Online-Offline Gap: It shows how AR can bring the showroom experience into a user’s home, an emerging expectation in the e-commerce ecosystem.
Demonstrates Scalable Innovation: The solution is modular and adaptable to various vehicle models and digital campaigns.
Validates Customer-Centric Tech: Offers proof that immersive technologies can significantly elevate buyer confidence and engagement.
About the Client
The client operates within the two-wheeler automobile industry, a sector that has been witnessing consistent growth, particularly in developing markets where motorcycles are a primary mode of transportation. However, this growth also brings fierce competition, with brands racing not just in performance and design—but in digital innovation.
With the post-pandemic shift toward digital-first customer journeys, the two-wheeler industry is increasingly investing in tech-driven experiences like 3D configurators, immersive showrooms, and AR product previews.
According to McKinsey, “auto retail is at an inflection point,” where immersive technologies are “no longer optional but expected” to create frictionless discovery and buying journeys.
AR has emerged as one of the most promising tools to deliver this shift—making vehicles more accessible, understandable, and engaging for tech-savvy consumers.
The Problem / Challenge
What Was the Business Problem?
Despite having a strong digital presence, the client realized their online customer journey lacked the emotional resonance and physical interaction that motorbike purchases typically demand.
While users could browse through models, specs, and price points, there was no way for them to “experience” the vehicle in their own environment—something crucial when investing in a lifestyle product like a motorcycle.
This led to:
❌ Drop-offs in the sales funnel, especially after the initial product viewing.
❌ Low engagement on product pages, particularly from mobile users.
❌ Over-reliance on physical showrooms, which were increasingly inaccessible due to either geography or post-pandemic hesitancy.
The client asked a critical question:
How can we replicate or even enhance the showroom experience for users browsing at home?
Limitations of Existing Methods
Before the AR solution was introduced, the brand was using:
Static 2D images and product videos
Specification tables and comparison tools
Dealer locators and booking forms
While these tools helped inform users, they didn’t inspire confidence or create immersion. Customers couldn’t:
Visualize how the bike would look in their garage or driveway.
Examine intricate design features closely.
Customize variants in a meaningful way.
Build a tangible emotional connection with the product.
In today’s “phygital” (physical + digital) age, experience is the differentiator. But the existing system wasn’t experiential—it was informational.
Why Did They Seek a Solution?
The client’s internal team noted increasing web traffic but stagnant lead conversion rates. Surveys also revealed that customers were unsure about:
Bike size and presence
Color accuracy in real-world settings
What the product “feels” like visually in their space
They realized that to stay competitive and appeal to next-gen buyers, they needed:
A scalable, mobile-first visualization tool
A digital solution that could drive showroom-like engagement
A method to shorten the customer decision cycle
Objectives
To address the engagement gap between online browsing and physical retail, the project was designed with clear, measurable, and scalable goals aimed at improving the digital buyer journey.
Primary Objective:
Enable potential customers to visualize and interact with motorbike models in their real-world environment using Augmented Reality.
This objective was driven by two core themes:
Enhancing customer confidence in purchase decisions by offering a realistic preview.
Reducing dependency on physical showrooms by delivering the core discovery experience virtually.
Our Approach
Creating a seamless, immersive AR experience for visualizing motorbikes from home required a balanced blend of technical precision, UX design, and strategic planning. We followed a structured, collaborative methodology to deliver a solution that was both powerful and user-friendly.
Discovery & Research
We began with a comprehensive discovery phase, working closely with the client’s marketing, product, and digital innovation teams. Key activities included:
User journey mapping: Understanding where potential customers drop off in the digital funnel.
Competitor analysis: Benchmarking similar AR solutions in the automotive and consumer electronics space.
Tech environment audit: Evaluating the client’s existing digital ecosystem to ensure seamless AR integration.
Device compatibility study: Considering the wide range of devices customers may use—from budget Android phones to high-end iPhones.
Our research clearly showed that mobile-first WebAR (no app required) would deliver the lowest friction experience, increasing adoption and shareability.
Technologies Explored
We evaluated several technologies during this phase:
| Technology | Explored For | Decision |
|---|---|---|
| ARKit / ARCore | App-based native AR | Not preferred (required install) |
| WebXR | App-less AR via web browsers | ✅ Selected |
| Unity WebGL + Vuforia | High-end customization | Too heavy for fast load on mobile |
| Three.js + Model Viewer | Lightweight 3D rendering | Used for fallback devices |
The Solution
Twin Reality developed a mobile-first Augmented Reality experience that brought the motorbike into the customer’s environment—whether it was their driveway, living room, or garage. With zero app downloads and an ultra-lightweight interaction layer, the solution was optimized for ease of use, realism, and performance.
Core Features Delivered
🔍 Real-Scale Motorbike Visualization
Customers could view a 3D model of the motorbike in 1:1 scale, positioned in their physical surroundings via mobile AR. This helped users better assess the vehicle’s size, design aesthetics, and spatial presence.
🎨 Color & Variant Toggle
Users could switch between different color options of the same model, allowing for easy side-by-side comparison. This enhanced the personalization experience and mirrored what would typically happen in a showroom.
🔄 360° Product Interaction
The AR model could be rotated freely, giving customers the freedom to view the bike from all angles. Pinch-to-zoom functionality allowed closer inspection of parts like the exhaust, suspension, or headlights.
🌐 No-App Experience (WebAR)
Built using WebXR, the AR solution launched directly via browser. Users could scan a QR code or click a link from the client’s website or marketing campaigns to immediately launch the experience.
📱 Cross-Platform Compatibility
The AR viewer was optimized for both Android and iOS devices with fallback rendering using <model-viewer> where AR capabilities weren’t available.
🧰 Custom CMS Hooks
The solution was integrated with a lightweight CMS module to allow future content updates—such as swapping models, adding new variants, or updating call-to-actions—without additional dev effort.
Tools & Platforms Used
| Component | Technology / Tool |
|---|---|
| 3D Model Optimization | Blender, Unity, GLTF tools |
| AR Platform | Webgl |
| Web Integration | HTML5, CSS3, JS (React optional) |
| Cross-Device Testing | BrowserStack, Chrome AR emulator |
| Fallback Rendering | <model-viewer> API |
| Asset Hosting | AWS S3 / Cloudflare CDN |
Implementation
Bringing the AR motorbike experience to life required thoughtful execution across phases—balancing technical feasibility, design precision, and tight timelines.
Our implementation process followed an agile development model, enabling iterative progress, quick feedback cycles, and early user testing.
📅 Timeline & Phases
The project was broken down into four distinct phases over the span of 6 weeks:
| Phase | Duration | Key Deliverables |
|---|---|---|
| Phase 1 – Planning & Design | Week 1 | UX wireframes, tech stack selection, model handoff strategy |
| Phase 2 – Prototype Build | Week 2–3 | MVP WebAR version with 1 model and basic interactions |
| Phase 3 – Testing & Refinement | Week 4–5 | Device testing, bug fixing, variant toggle implementation |
| Phase 4 – Final Delivery | Week 6 | Performance optimization, documentation, CMS-ready rollout |
🔧 Development Process
The solution was built using a modular component system, where features like color toggling, AR placement, and zoom control were treated as independent modules. This made testing, refinement, and future updates much easier.
Key development highlights:
3D models provided in high-poly formats were optimized using Blender decimation + GLTF compression, reducing file size by over 70% without compromising visual fidelity.
We used cloud-hosted assets with CDN support to ensure near-instant load times worldwide.
Multiple fallback layers were built in for:
Non-AR-supported browsers (render static 3D viewer)
Devices with low performance (serve LOD variant of model)
QA checklist covered:
20+ mobile devices
3 lighting conditions (indoor, daylight, low-light)
Load time tests (target: <6 seconds)
UX testing with first-time users
🧑💻 Team Involved
This project was powered by a cross-functional team from Twin Reality, bringing together experts from AR development, 3D optimization, UI/UX, and QA.
| Role | Responsibility |
|---|---|
| Project Manager | Planning, timeline tracking, client updates |
| AR Developer | Core WebAR build, 8thWall integration |
| 3D Artist | Model decimation and texture optimization |
| UX Designer | Wireframes, interface interactions |
| QA Tester | Device testing, bug reporting |
“We ran a lean, agile team to ensure fast iterations. Everyone owned their piece of the puzzle, but we built it like a single unit.”
🔄 Deployment & Handoff
The AR experience was deployed with:
An auto-scaling backend using AWS
QR codes and links embedded in digital and print marketing
A full handoff package including:
Training guides
CMS walkthrough
Performance benchmarks
A/B testing strategy suggestions
With implementation complete, we transitioned into performance tracking and impact analysis.
Results & Impact
After launch, the AR motorbike visualization experience demonstrated strong performance across user engagement, lead conversions, and brand innovation metrics. Not only did it attract attention—it drove action.
__________
🚀 Tangible Outcomes
1. Increased Engagement Metrics
Users spent an average of 3.5 minutes interacting with the AR experience, compared to the previous 40–60 seconds on static product pages.
The bounce rate dropped by 42%, indicating that users were more inclined to explore and stay on the site.
2. Surge in Conversion Rates
The client witnessed a 24% increase in test ride bookings from pages that featured the AR viewer.
Forms with AR links saw a 17% higher submission rate than traditional web forms.
3. Mobile-First Win
Over 88% of users accessed the experience via mobile, validating the decision to use WebAR over app-based solutions.
The AR experience became one of the top three traffic drivers during a key product launch campaign.
📊 Before vs After Comparison
| Metric | Before AR | After AR | Change |
|---|---|---|---|
| Avg. time on product page | 48 sec | 3.5 min | ↑ +337% |
| Bounce rate (product page) | 62% | 36% | ↓ -42% |
| Test ride form submissions | Baseline | +24% | Significant uplift |
| User engagement (CTR) | 1.2% | 3.4% | ↑ +183% |
💬 Client Feedback
📈 Strategic KPIs Met
✅ Achieved target of <6 second load time for AR model
✅ Delivered on timeline (within 6 weeks)
✅ Scalable framework approved for multi-model rollout
✅ Shared in press release and digital campaign coverage as an innovation highlight
“The success of this deployment has paved the way for AR to become a core part of our buyer journey—not just a one-off marketing experiment.”
