Why a 'Software as a Shiny Object' Mindset Could Dampen Retail's AI Ambitions

Retail's tech graveyards are full. The relentless cycle of acquiring new tech without a defined strategy or deep integration consistently breeds fragmented systems, wasted resources, and tech stacks that complicate rather than clarify. The allure of a quick fix too often overshadows the discipline of strategic implementation.

"In the retail industry, we suffer from what I call the 'SaaSO' problem—Software as a Shiny Object," says Ron Ijack, CTO of undergarment and performance wear retailer Knix. With over 20 years of experience leading tech teams at iconic Canadian brands like Roots and Canada Goose before joining Knix in September 2024, Ijack has seen this pattern play out repeatedly.

"We get lured by the promise of new tools, buy them, often without proper implementation or clear business alignment, and then quickly move on to the next alluring thing before realizing their true value."

• Confronting fragmentation: When Ijack joined Knix, a brand renowned for creating the leak-proof underwear category, he inherited a tech environment common in fast-growing companies. "The benefit of being a relatively new company is they don't have legacy infrastructure or physical hardware; everything started in the SaaS world," he explains. But while that is beneficial, it is extremely fragmented. "There is a lot of shadow IT going on, and the amount of software tools easily can get quite large with a lot of overlap."‍
• Breaking the 'SaaSO' cycle: "We don't look at AI just for the sake of AI. We start at looking at a business problem that we're trying to solve. AI is just another tool," Ijack says, offering a grounded perspective against the pervasive buzz dominating headlines. This philosophy directly combats what Ijack calls the "SaaSO" dilemma. "We often head to conferences and events where everybody is promising to solve all of my problems with a single line of code in two weeks. And people buy it," Ijack observes. "But they don't necessarily implement it properly. We may see some results, or we may not, and then simply move on to the next thing."

He advocates for a return to fundamentals: "Leadership in tech is all about finding the right solution to solve your particular problem at the right time."