Rebuilding Royal Canin’s CMS, search and store locator
A leaner CMS architecture, indexed content and caching improved response times, while typo-tolerant search and geo-enabled store discovery made products and retailers easier to find.
About the client
Royal Canin is a global pet nutrition company founded in France in 1968. Its specialised products are developed around the nutritional needs of different breeds, sizes, ages and health requirements, and are available in more than 100 countries. Operating across markets at this scale requires digital platforms that can handle high traffic while keeping product information and local retailers easy to find.
Key insights
Project rescue
Rapid takeover and stabilization of a failing implementation.
Speed and scale
Architecture tuned for heavy traffic and quick responses.
Smart search
Fast, precise queries for products and breeds.
Geo discovery
Store locator with reliable map and filtering.
The challenge
Royal Canin needed a content platform that remained responsive at peak traffic while delivering smooth user journeys across markets.
High-volume search
Built-in search for products and pet breeds serving thousands of daily queries without loss of speed or accuracy.
Store discovery at scale
Map-based store locator handling heavy traffic with reliable geolocation and filtering.
Peak-load resilience
Consistent performance under load to prevent slowdowns and errors.
Global consistency
Stable experience across countries and devices to protect brand standards.
Quality of service
Previous stability gaps and uneven performance threatened user satisfaction and brand perception.
The solution
CODEWAVE took over early to stabilize delivery and rebuild core elements for speed, reliability, and maintainability.
Lean CMS architecture
Efficient data models, indexed content, and caching to keep response times low at scale.
Advanced search UX
Faceted, typo-tolerant search for products and breeds with clear filters and instant feedback.
Store discovery
Geo-enabled locator with distance calculations, regional filters, and resilient map rendering.
Operational hygiene
End-to-end monitoring, structured logging, and error budgets to keep the platform predictable and easy to evolve.
Used technologies
Custom CMS development
High-performance search engine
System architecture optimization
Store locator map
"They developed and implemented a repair plan for the platform. We were surprised at how quickly CODEWAVE's engineers identified so many of the platform's problems. Their recommendations were always exactly what we needed."
Key results
The platform was stabilized and handed back to business operations with a clear performance envelope. Users experience faster page loads and near-instant search across products and breeds, while editors work against a cleaner, more maintainable content model.
Smooth project takeover and risk reduction.
Accurate, reliable store locator with geo filtering.
Noticeably faster responses for search and navigation.
Maintainable CMS structure that supports future growth.
The summary
CODEWAVE stabilized and accelerated Royal Canin's digital ecosystem, replacing fragile components with a lean, high-performance architecture. The platform now delivers fast, reliable search and content experiences at scale, ensuring consistent uptime and smooth journeys for pet owners worldwide. In short: predictable performance, enterprise-grade resilience, and room to grow.
Let’s create a success story together
