Insight

Houdini Sportswear ran its e-commerce store on Litium, a setup that carried the classic constraints of a legacy commerce platform. Every change to the site, from a content update to a new market configuration, required developer or consultant hours, which turned routine business decisions into admin-heavy, time-consuming projects. Small requests routinely grew into large initiatives, and the business had no practical way to move quickly on its own.

The platform had been assembled around enterprise-grade tools that were never used to their full capacity, adding licensing cost and operational complexity without a matching return. It was a technology-first stack rather than one built to enable profitable growth, and that mismatch showed up directly in total cost of ownership and in the effort required to keep the site running day to day.

As Houdini pursued expansion into Europe, North America, and Asia, this dependency on developer resources for basic operational flexibility became a growing constraint. Launching in new markets and adapting the storefront to local context was slow and difficult on Litium's architecture, at exactly the point when growth required the opposite: a platform its own team could run without a technical bottleneck at every step. Daily operations stayed reactive by necessity, since every fix and every market decision had to wait on external resources rather than being handled as they arose.

Idea

Speed to launch was a central requirement, since every additional week on Litium carried real cost. A senior Iggy consultant led the project end to end, taking Houdini from discovery to a live store on Shopify Plus in ten weeks, a timeline achievable specifically because the build prioritized Shopify's native features over custom development and ran without the handoffs a larger delivery team would introduce. A single accountable owner also meant risk decisions, sequencing, and scope tradeoffs were made once, by the person who understood the full architecture, rather than relayed across a chain of specialists. Fewer custom components meant fewer dependencies to build, test, and debug before launch, giving Houdini a working store to collect live sales and customer data on sooner, rather than a long build phase with no market feedback.

Iggy built the new storefront on Houdini's existing brand and design language rather than treating the migration as a reason to redesign, a deliberate choice both sides made early on. Iggy's view is that design changes should be earned with data, not bundled in because a migration makes them convenient. With no evidence a redesign would pay for itself, the ten weeks went to the technical migration and a new theme built around Houdini's established identity. That kept scope precise, and both project leads always knew where prioritization needed to happen.

International growth required a pricing and tax structure that could handle dozens of markets without manual overhead. Iggy configured Shopify Markets to sell into 40 countries, grouped into market groups and priced in local currency and market context rather than through live foreign exchange conversion, so a price in any market changes only when Houdini decides it should, not when a currency moves. This gives the business the margin control it had lost under Litium's more rigid, harder-to-adjust setup, run from a single codebase.

Managing product data for 632 products and close to 8,400 variants across this market footprint required a structure that could receive content from an external system without custom code bridging the two. Houdini's product data already lived in a third-party product information management (PIM) tool, and rather than replace it, Iggy built the Shopify data model around it: metaobjects and metafields structured to align with the PIM's existing data structure. Feature callouts and variant options map directly from the PIM into their corresponding metaobjects and metafields, so content prepared in the PIM populates the storefront without manual re-entry. Houdini's enterprise resource planning (ERP) system, Business Central, remained the system of record for inventory, orders, and financial data throughout, since the constraint was never the ERP itself but the custom, point-to-point development built around it under Litium. The integrations was built through an Integration Platform as a Service (iPaaS) middleware layer, and while the technical integration was delivered by the ERP and PIM partners, Iggy defined the requirements it had to meet on the Shopify side and led coordination across the parties involved.

Holding a ten-week timeline across this scope required an engagement model built for fast, close collaboration rather than a traditional handoff-based project structure. Iggy ran the project on daily standups and an agile working rhythm so that blockers surfaced immediately instead of sitting until a weekly check-in, and both sides could decide quickly instead of routing every adjustment through a formal change process. This reflects how Iggy structures its engagements generally, and it kept Houdini's own team directly involved in decisions throughout rather than positioned as a passive recipient of the build.

Impact

Houdini enters this next chapter already operating at meaningful scale, spanning 40 countries and a catalog of over 8,000 variants, the operational complexity the new Shopify Plus architecture was built to support going forward. Conversion rate on Shopify is up 53 percent year over year since launch, with July up 50 percent year over year and August already up 66 percent year over year. The migration landed ahead of Houdini's peak outdoor season, and while seasonal demand plays a role in any summer trading period, gains have accelerated month over month rather than tapering off, which points to a platform converting more efficiently at every stage of the funnel rather than a temporary launch effect. Completing the cutover for 632 products and close to 8,400 variants on this schedule, ahead of peak trading, also removed the handoff and timing risk that typically accompanies a migration of this scale.

The native, app-light theme has also delivered fast, accessible site performance from launch. Google PageSpeed Insights scores above 70 on mobile and above 92 on desktop, with a perfect 100 on accessibility, best practices, and search engine optimization (SEO) across both devices, reflecting the lower overhead of a storefront built close to Shopify's platform rather than layered with custom code and third-party scripts.

Keeping the redesign question out of scope also meant Houdini's post-launch effort could go toward work with a direct line to revenue rather than an unproven visual overhaul. In the months since launch, Houdini has started using Shopify's native artificial intelligence (AI) tooling in its daily operations, from merchandising and product data management to routine site changes, an option the previous platform did not support. This reflects both the advantage of running on Shopify itself and Iggy's ongoing role in helping Houdini's team adopt AI into its workflows as part of the advisory engagement. Combined with the leaner architecture, this now lets a team of two to three people run Houdini's entire e-commerce operation and scale it profitably, a level of operational leverage the previous setup did not allow.

Consolidating a fragmented, enterprise-heavy stack into a native Shopify architecture has also simplified Houdini's operations. Replacing underused enterprise tools and custom point-to-point integration work with native Shopify functionality, a modular iPaaS middleware layer, and the existing PIM and ERP systems means fewer licenses and fewer integration points for the team to reconcile day to day. With the data model, tax logic, pricing structure, and integration layer now aligned to this leaner architecture, Houdini can add new markets by configuring a catalog and tax strategy rather than building new custom logic. Routine changes that previously required external consultants and turned into full projects can now be handled directly by Houdini's own team.

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