E-COMMERCE DIGITAL INFRASTRUCTURE

Mountain Warehouse's Sam Biddlecombe on AI and E-Commerce

TM
Techmediaglobal
| 6 min read
400+
STORES WORLDWIDE
10 YEARS
ON PREVIOUS PLATFORM
50%
FASTER FEATURE DELIVERY
2
KEY TECH PARTNERS

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

Measuring Success and Defining Personalisation

One of the key internal metrics Mountain Warehouse is watching is the time it takes to implement new features, with a goal of delivering 50% quicker than historical performance. The team also wants data accessible across complex order handling, custom checkout experiences and multi-location inventory management.

Personalisation, for Mountain Warehouse, means making every shopper feel understood, moving away from isolated transactions toward seeing the whole customer journey, whether they're shopping for hiking, skiing or camping gear.

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.

Key Takeaways

  • Mountain Warehouse replaced a 10-year-old custom-built platform with an API-first architecture on BigCommerce to support 400+ stores worldwide.
  • The right vendor test balances flexibility and control, letting teams customise what matters without adding operational complexity.
  • A core success metric is delivering new features 50% faster than under the legacy platform.
  • Algolia enables real-time interpretation of customer signals, surfacing more relevant results than static keyword search ever could.
  • Click-and-collect, flexible checkout and advanced order handling are helping bridge the gap between online and in-store shopping.
  • Gen AI is being approached practically, focused on customer service, product discovery and content rather than as a standalone project.
Tags: Mountain Warehouse E-commerce Personalisation Algolia API-First Foundation BigCommerce Retail Technology Gen AI