After a decade running its own custom-built e-commerce system, Mountain Warehouse has moved to a flexible, API-first architecture built on BigCommerce and Algolia. Sam Biddlecombe, Senior Delivery Manager – Technology at the outdoor retailer, explains why the switch was necessary, how real-time customer signals are reshaping search and discovery, and where Gen AI fits into the company's next chapter across its 400-plus stores worldwide.
Why the Custom-Built System Had to Go
Expectations on e-commerce systems have risen sharply over the last decade, with customers wanting faster digital experiences, advanced search, seamless checkout and a consistent experience across online and physical stores. Mountain Warehouse's previous platform was becoming increasingly difficult to scale, absorbing significant resources simply to maintain ageing infrastructure.
The retailer needed a platform capable of adapting quickly to changing customer behaviour and emerging trends such as GEO and AI-driven optimisation, while supporting the scale of a business spanning over 400 stores worldwide. With BigCommerce, the team can now innovate faster and integrate best-of-breed technologies rather than maintaining core infrastructure themselves.
Choosing the Right Vendor
For Biddlecombe, the real test of a vendor is whether they strike the right balance between flexibility and control. Mountain Warehouse wanted a platform that allowed it to customise the parts of the experience that genuinely matter to its customers while accelerating innovation across global e-commerce operations, without adding unnecessary operational complexity.
Partnering with BigCommerce lets the team take this flexible approach across payments, search, content and marketing automation, helping implement new features faster while improving security, reliability and compliance.
"We wanted a platform that allowed us to customise the parts of the experience that genuinely matter to Mountain Warehouse customers."— Sam Biddlecombe, Senior Delivery Manager – Technology, Mountain Warehouse
Real-Time Signals with Algolia
Algolia gives Mountain Warehouse a better understanding of customer intent in real time. Previously, a search for "waterproof jacket" would have returned a static set of results based purely on the search term itself.
Now, if that same customer filters by kids' sizes, checks local store stock and browses insulated products, the platform can recognise they are likely shopping for a warm, waterproof children's jacket with local availability, surfacing far more relevant results in the moment.
Bridging Online and In-Store, and What's Next for Gen AI
With more than 400 physical stores, Mountain Warehouse wants its online experience to feel as personalised as interacting with a store colleague. The BigCommerce rollout included click-and-collect functionality, more flexible checkout with multiple payment methods and gift cards, and more advanced order handling.
On Gen AI, Biddlecombe is clear the focus is practical: customer service, product discovery and AI-assisted content are all areas of interest, particularly useful in outdoor retail where clearer, tailored guidance on size, fit, colour and activity adds real value. The API-first foundation gives the business flexibility to connect AI tools into the right parts of the operation without locking into one fixed approach.
