The Hidden Cost of Staying Put<\/h2>\n\n\n\n
Legacy commerce platforms were built for a different era. The promise was scalability and control. The reality has been something closer to complexity debt: rigid infrastructure, fragmented data, and multi-year upgrade cycles that eat budget without delivering meaningful innovation.<\/p>\n\n\n\n
A company that retires legacy marketing solutions and processes could see an ROI of 251%<\/a>. And 43% of CIOs<\/a> say they expect to decrease their investment in legacy infrastructure. The question is no longer whether to modernize – it’s how to do it without blowing up everything you’ve already built.<\/p>\n\n\n\n The Maze Group<\/a>, the enterprise digital consultancy behind some of the most ambitious replatforming projects in retail, has seen this pattern play out repeatedly. The insight Maze brings from the front lines: the cost of staying is almost always higher than the cost of moving. Whether measured in total cost of ownership, speed to market, or the organizational toll of managing fragile systems – inertia is expensive.<\/p>\n\n\n\n Getting unstuck isn’t about ripping out your stack and starting over. It’s about removing the layers of complexity that are slowing your team down and replacing them with an agentic-enabled platform designed for how commerce actually works today.<\/p>\n\n\n\n \u201cMost personalization is still transactional: \u2018you liked X, so here\u2019s Y.\u2019 The brands that stand out go deeper. They understand their product, their customer, and what drives loyalty and they have the technology to turn that insight into real experiences.\u201d Mat Feuer, Head of Retention at Maze<\/em><\/p>\n\n\n\n For marketing and commerce teams, that means confronting a set of challenges that tend to compound quietly<\/a> over time:<\/p>\n\n\n\n Sound familiar? You’re not alone and there’s a clear path out.<\/p>\n\n\n\n Getting unstuck requires two things working in concert: commerce infrastructure that moves at your speed, and personalization intelligence that keeps pace with every shopper.<\/p>\n\n\n\n Commerce infrastructure that moves at your speed.<\/strong> Shopify’s enterprise capabilities have matured significantly, and Maze has built a proven framework for migrating from legacy platforms \u2014 with fixed timelines, fixed fees, and a focus on continuity. Maze clients have seen over 30% total cost of ownership savings and more than 60% faster time-to-market. One global media and entertainment company that made the move with Maze cut annual expenses by 25%.<\/p>\n\n\n\n Personalization that runs on real-time intelligence \u2014 not yesterday’s data.<\/strong> Loomi AI for Shopify<\/a> is a native integration between Shopify and Bloomreach<\/a> that unifies customer data, product data, and commerce data so you can personalize every interaction \u2014 from search results to an email to an in-store moment \u2014 with the same real-time intelligence. <\/p>\n\n\n\n Unlike point solutions that force you to stitch together data, models, activation, and optimization, Loomi AI<\/a> brings these critical components together with your Shopify commerce data in a single platform. The result: one place to create unique, seamless experiences for every shopper \u2014 including anonymous visitors.<\/p>\n\n\n\n Under the hood, Loomi AI solves the fragmentation problem through five interconnected capabilities:<\/p>\n\n\n\n The business case for getting unstuck is directly tied to revenue. Around 75% of customers are more likely to purchase from brands<\/a> that deliver personalized experiences, and $2 trillion in revenue is projected to shift toward companies<\/a> that master personalized commerce and communications. <\/p>\n\n\n\n Companies with a cohesive ecommerce strategy see up to 30% higher revenue growth<\/a> – and those delivering seamless digital experiences report a 25% increase in customer satisfaction alongside a 20% boost in repeat purchases.<\/a><\/p>\n\n\n\n For marketing teams, personalization at scale<\/a> requires a data and infrastructure foundation that most legacy stacks weren’t built to support. Brands that make the move now – to modern commerce infrastructure combined with a unified AI personalization platform – will be operating with a structural advantage that compounds over time.<\/p>\n\n\n\n The most common thing we hear from ecommerce and marketing leaders who’ve been through the migration journey is that they wish they’d started sooner. Operating on a modern, unified stack fundamentally changes what their team can do.<\/p>\n\n\n\n If your engineers are spending more time keeping the lights on than innovating, if your segmentation is still based on static lists, or if launching a new personalization experience requires a cross-functional project plan – it may be time to ask what “stable” is actually costing you.<\/a><\/p>\n\n\n\nWhat “Getting Unstuck” Looks Like<\/h2>\n\n\n\n
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The Modern Commerce Stack: Shopify + Loomi AI<\/h2>\n\n\n\n
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<\/figure>\n\n\n\nThe Personalization Imperative<\/h2>\n\n\n\n