HOW WE BUILT A RESEARCH-BACKED MATTRESS RECOMMENDATION ENGINE FOR A 120-YEAR-OLD GLOBAL BRAND
Client
KingKoil
Industry
Retail
Project Duration
5+ Years
Core Focus
AI-Driven Mattress Recommendation
Project
Brief
KingKoil has been in the mattress industry for over 120 years. Present in more than 100 countries, it is one of the most recognized sleep brands in the world. But a brand's age and global reach do not automatically translate into a modern customer experience, and that gap is exactly where this project began.
We partnered with KingKoil to design and build a full digital ecosystem: a dealer and distributor ordering platform (Android, iOS, and web), a salesman app, an admin panel, and, most critically, an intelligent mattress recommendation engine. This case study focuses primarily on SleepID and the thinking behind building a personalized sleep recommendation system from the ground up.
Business Objectives
KingKoil came to us with a clear set of priorities. The brand had the product quality and the global credibility. What else was needed was the infrastructure to translate those strengths into a seamless, data-informed customer experience.
- Provide research-backed sleep products that genuinely improve sleep quality, not just comfort.
- Move beyond generic product recommendations by salesmen toward truly personalized, body-data-driven mattress matching.
- Expand market reach across both retail and B2B (especially hospitality) channels without losing control over brand messaging.
- Establish quality benchmarks in manufacturing and after-sales support that justify premium pricing.
- Make sleep health education central to the purchase journey and shift customers from doing price-first to value-first thinking.
- Digitize the dealer and distributor network to reduce dependency on manual, error-prone processes.
Business Challenges Faced by the Client
Before we could build anything, we had to understand what was broken. And quite a bit was. KingKoil's operations were running on a patchwork of phone calls, WhatsApp messages, printed price lists, and gut-feel product recommendations. Here's the thing: none of that is unusual for a traditional distribution-heavy business. But it creates a ceiling. And KingKoil had hit it with the following:
- No science behind the sales floor
- Manual and fragmented order management
- Zero real-time order visibility
- Disconnected dealer and distributor ecosystem
- No analytics on what was selling and where
- Demand forecasting was largely guesswork
SOLUTION WE DELIVERED
Before we could build anything, we had to understand what was broken. And quite a bit was. KingKoil's operations were running on a patchwork of phone calls, WhatsApp messages, printed price lists, and gut-feel product recommendations. Here's the thing: none of that is unusual for a traditional distribution-heavy business. But it creates a ceiling. And KingKoil had hit it with the following:
01.
Research-Backed Mattress Recommendation System
We built a tablet-based, in-store recommendation engine that brings structure and science to mattress selection. It captures inputs such as body weight, height, sleep position, health conditions, temperature preferences, and partner parameters, then processes them through a research-aligned matching algorithm.
We built a tablet-based, in-store recommendation engine that brings structure and science to mattress selection. It captures inputs such as body weight, height, sleep position, health conditions, temperature preferences, and partner parameters, then processes them through a research-aligned matching algorithm.
02.
Dealer & Distributor Platform
For the operational layer, we built a multi-role platform serving Dealers, Distributors, Preferred Dealers, and Salesmen. This platform replaced the entire phone, WhatsApp, and PDF workflow with a structured digital ecosystem.
Dealers can browse the full catalog, place orders instantly via Android or iOS, and track status in real time (Pending, Approved, or Rejected). They also have access to month-wise order history and unique order IDs. They can know new product launches, pricing changes, and promotional schemes via in-app notifications.
03.
Digital Price List and Product Catalog
A live, always-updated digital price list replaced printed sheets. Product specifications, variants, and pricing are accessible in seconds, directly inside the app. This eliminates pricing errors and ensures consistent quotations across the dealer network.
04.
Admin Dashboard and Analytics
The admin dashboard provides the management team with a centralized view of dealer performance, regional order volumes, and buying trends. These insights feed directly into inventory planning and demand forecasting.
Technologies Used
About
Technologies Used
Mobile App
- Kotlin for Native Android App
- Swift for Native iOS App
Web & Admin Panel
- React.js
Backend & API
- Node.js
- Laravel
Database
- MySQL
Push Notifications
- Firebase
Recommendation Engine
- Python REST API
Authentication & Security
- JWT-based authentication
- Role-based access control (RBAC)
The Result
KingKoil's challenge was never about technology. It was about translating over a century of product expertise into a modern customer experience and one that could scale across geographies, dealer tiers, and customer demographics. That's what SleepID does. And that's what the broader platform makes operationally possible.
The recommendation engine continues to be refined. As more Sleep IDs are generated, the system accumulates real-world data on purchase patterns and customer feedback, creating a feedback loop that strengthens recommendation quality over time. What started as a matching algorithm is gradually becoming a proprietary dataset, and that is a long-term competitive moat that very few mattress brands have the infrastructure to build.
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Reduction in order turnaround time
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Drop in manual order entry errors
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