In Q1 2026, AI stopped assisting the shopping journey and started mediating it.
Retail technology is no longer confined to back-office automation, product copy generation, or customer service chatbots. AI is moving closer to discovery, recommendation, merchandising, pricing visibility, loyalty, and increasingly the transaction itself. The result is a structural shift in retail power dynamics: platforms and AI agents are beginning to sit between consumers and retailers, reshaping how demand is created, influenced, monetized, and fulfilled.
For Canadian retailers, the tension is becoming harder to ignore. The more commerce moves into AI-assisted ecosystems, the greater the risk that retailers lose direct control over customer relationships, discovery pathways, and brand visibility unless they have strong first-party data, trusted loyalty ecosystems, operational discipline, and the infrastructure needed to participate in AI-led commerce without becoming dependent on it.
You can see that shift throughout what Retail Insider covered this quarter. Google expanded Gemini shopping partnerships with Walmart, Shopify, and other commerce platforms, moving shopping closer to conversational search. Loblaw launched grocery shopping integrations through ChatGPT and Google Gemini while positioning itself as an “AI-native enterprise.” Canadian Tire scaled its MOSaiC retail intelligence platform with Microsoft to connect merchandising decisions to real-world customer behaviour. RBC and Canadian Tire deepened loyalty integration through Avion and Triangle Rewards. Instacart pushed “Physical AI” smart carts capable of influencing baskets in real time, while platforms such as Square and Shopify embedded AI assistants designed to help smaller merchants operate more like enterprise retailers.
At the same time, consumer trust and security concerns remained elevated. SOTI reported that 84% of Canadians are concerned about at least one privacy or security issue while shopping, while Adyen found that more than half of Canadian shoppers are open to allowing AI to complete purchases on their behalf.
The takeaway for executives is increasingly urgent: AI is no longer simply a technology layer inside retail. It is becoming the interface through which retail increasingly operates.
Overall Retail Technology Coverage by Retail Insider
Retail Insider published 24 Retail Technology stories in Q1 2026, and the mix says a great deal about where the sector is heading. This was not a quarter dominated by experimental gadgets or futuristic store concepts. The centre of gravity shifted toward AI entering core retail workflows: search, discovery, loyalty, merchandising, forecasting, checkout, retail media, operational execution, and decision-making itself.
The coverage leaned heavily toward Trend/Analysis and Product/Format Launch stories, reflecting a market rapidly moving from experimentation into deployment. Retailers and platforms are rolling out AI-enabled capabilities quickly while simultaneously deciding which systems to integrate, which partnerships to pursue, and which parts of the customer relationship they still need to control directly.
Partnerships emerged as one of the defining mechanisms for speed. Google expanded Gemini shopping through retailers and commerce infrastructure partners including Walmart and Shopify. Loblaw integrated grocery planning and purchasing capabilities into ChatGPT and Gemini. Canadian Tire deepened its Microsoft partnership to scale MOSaiC across banners and channels. RBC and Canadian Tire linked loyalty ecosystems to strengthen everyday customer engagement across multiple retail banners. Walmart Connect Canada launched an academy-style certification platform to help suppliers and agencies navigate the rapidly growing retail media ecosystem.
Even operational execution became part of the technology story. The Reset Team demonstrated how technology-enabled rollout infrastructure, standardized field execution, and centralized reporting are becoming strategic advantages as retailers deploy new formats, connected-store technologies, and merchandising programs at increasing speed.
The broader implication is becoming clear: retail technology is no longer sitting at the edge of the business. It is increasingly becoming the operating system of the business itself.
AI Compresses the Shopping Funnel
One of the most important shifts this quarter is that AI is beginning to compress the traditional retail buying funnel.
Historically, retail discovery followed a relatively predictable pattern: search, browse, compare, research, evaluate, select, and purchase. AI-assisted commerce increasingly condenses that process into something far simpler: ask, receive recommendations, and buy.
That changes the economics of retail.
When Google expands Gemini shopping with conversational discovery and instant checkout integrations tied to retailers such as Walmart and Shopify, it moves commerce closer to search and further away from standalone retailer websites and apps. Consumers may increasingly bypass traditional browsing behaviour entirely.
Loblaw’s grocery integrations with ChatGPT and Gemini make that shift especially tangible in Canada. Consumers can now generate meal plans conversationally, build grocery lists, check inventory, and move toward PC Express checkout from inside AI-assisted environments. The traditional grocery discovery process is increasingly becoming machine-assisted commerce.
The implications extend well beyond convenience. If AI systems increasingly guide discovery, recommendation visibility may become as strategically important as physical shelf placement once was. Retailers and brands will need to think differently about assortment visibility, structured product data, pricing transparency, reviews, attributes, and how products appear inside AI-generated recommendations.
This also creates major implications for traffic and discoverability. Retailers, marketplaces, brands, and publishers increasingly face the possibility that consumers may no longer visit websites until the final stages of the transaction process. AI-generated summaries and conversational recommendations could reduce direct traffic, reshape SEO economics, and weaken traditional digital merchandising strategies.
The commercial risk is significant: retailers may gradually lose ownership over the discovery layer while platforms gain increasing influence over what consumers see first.
Adyen’s research adds urgency to that concern. More than half of Canadian consumers told Adyen they are open to allowing AI to complete purchases on their behalf. The disruption is not simply that AI can recommend products. It is that AI increasingly acts as an intermediary between intent and transaction.
That raises difficult strategic questions for retailers. If AI agents optimize around convenience, value, speed, or lowest basket cost, how do retailers maintain differentiation? How do loyalty ecosystems survive if recommendation systems increasingly influence customer choice before a retailer interaction even begins?
This is where Shopify’s role becomes strategically important. Shopify continues positioning itself as flexible commerce infrastructure for an increasingly fragmented AI-commerce environment, investing heavily in Sidekick and multi-channel commerce systems that allow merchants to maintain control over inventory, fulfilment, pricing, and customer rules regardless of where discovery happens.
The retailers best positioned for this shift are likely to be those capable of participating in AI-mediated commerce without fully surrendering the customer relationship. Retailers with strong first-party data, trusted loyalty systems, operational discipline, and reliable fulfilment infrastructure are better positioned than retailers with fragmented systems and weak personalization capabilities.
Loyalty Becomes Infrastructure
The commercial implication is that loyalty is evolving from a marketing tool into a broader infrastructure layer tied to data, payments, personalization, and retention.
The RBC and Canadian Tire partnership linking Avion Rewards and Triangle Rewards illustrates how loyalty is increasingly functioning as commerce infrastructure rather than simply a points program. Eligible RBC cardholders can connect Avion to Triangle Rewards and earn accelerated Canadian Tire Money across banners including Canadian Tire, SportChek, and Mark’s.
For Canadian Tire, the partnership expands the reach of Triangle’s nearly 12 million-member ecosystem while increasing everyday engagement across banners at a time when consumers remain highly price conscious. For RBC, it creates differentiation in an increasingly crowded payments environment.
However, AI-assisted commerce complicates traditional loyalty economics. If AI shopping systems increasingly optimize around value, speed, convenience, or pricing efficiency, retailers may need to rethink how loyalty works altogether. Points-based systems may become less effective if AI agents increasingly influence purchasing behaviour upstream.
That makes first-party data significantly more valuable. Loyalty increasingly functions as a mechanism for behavioural intelligence, personalization, pricing optimization, forecasting, and customer retention. Retailers capable of integrating purchase history, payments behaviour, promotions, loyalty signals, and fulfilment data into unified customer ecosystems gain an advantage in machine-mediated commerce environments.
Trust becomes critically important in this model. SOTI’s research reinforces that consumer willingness to participate in connected retail ecosystems depends heavily on security and confidence. Privacy, transparency, and cybersecurity are no longer operational concerns sitting in the background. They are increasingly commercial necessities.
Retailers Become AI-Native Enterprises
The commercial implication is that AI scale is increasingly becoming an operational and margin separator.
Kyndryl’s retail research captured the shift clearly. Nearly 89% of retail executives expect AI to significantly reshape retail jobs within the next year, while more than 70% are already deploying AI across customer experience, cybersecurity, forecasting, enterprise applications, and operations. However, almost half reported that foundational technology issues continue slowing innovation efforts.
That distinction matters because AI advantage compounds operationally. Retailers with strong infrastructure improve faster. Retailers with fragmented systems struggle to move beyond experimentation.
Canadian Tire’s MOSaiC platform is one of the strongest Canadian examples of AI evolving into operational infrastructure. MOSaiC combines internal sales data, Triangle loyalty insights, weather patterns, local events, and behavioural signals to identify more than 1,000 customer “occasions” that influence merchandising, inventory allocation, promotions, and store execution decisions.
Loblaw is moving in a similar direction. Its ChatGPT and Gemini integrations are not isolated innovation projects. They are part of a broader effort to position the company as an “AI-native enterprise,” integrating conversational commerce, grocery planning, personalization, and fulfilment into the core customer experience.
The strongest retailers increasingly resemble software and data businesses with physical distribution networks attached. AI is becoming embedded in merchandising, pricing, forecasting, logistics, labour planning, customer engagement, and inventory management rather than sitting inside isolated innovation teams.
The operational advantages compound quickly. Better forecasting reduces stockouts and markdowns. Better targeting reduces blanket discounting. Better inventory intelligence improves margins. Better coordination across channels strengthens the customer experience while protecting profitability.
Retailers lacking those foundations may still purchase AI tools, but they will struggle to convert those investments into sustainable operational advantages.
Physical AI Turns Stores Into Programmable Retail Environments
The commercial implication is that physical stores are increasingly becoming connected digital environments rather than static boxes of inventory.
Instacart’s Caper Cart initiative is one of the clearest examples from the quarter. Smart carts equipped with AI-driven recommendation systems can influence customer purchasing behaviour while the shopping trip is actively happening. Instacart reported that prompts such as “Got everything you need?” generated nearly a 1% increase in basket size on average.
For grocers and large-format retailers, this is not simply a novelty. It represents the transformation of the physical store into a programmable retail surface capable of generating data, influencing behaviour, monetizing attention, and integrating directly with loyalty and pricing systems in real time.
This also changes retail media economics. A digital cart screen tied to real-time basket data becomes an advertising and recommendation surface positioned directly beside the shelf. In AI-assisted commerce environments, recommendation visibility increasingly matters as much as physical shelf placement once did.
The infrastructure implications are significant. Connected stores require stable connectivity, device management, integrated pricing systems, loyalty synchronization, maintenance procedures, and staff training. Physical AI systems fail visibly when execution is weak.
That connects directly to another major theme from the quarter: operational execution and workforce enablement are increasingly part of the retail technology stack itself.
Retail Media Becomes a Core Retail Business
One of the most important long-term shifts in retail technology is the transformation of retailers into media and data businesses.
Retail media networks continue expanding because retailers increasingly control valuable first-party customer data tied directly to purchasing behaviour. Walmart Connect Canada’s certification and education initiative illustrates how rapidly the sector is professionalizing.
Retailers are no longer simply selling products. They are monetizing search visibility, sponsored recommendations, audience targeting, basket placement, and customer attention itself.
AI accelerates this shift because machine-driven personalization increases the value of advertising inventory tied directly to consumer behaviour. Retailers capable of combining loyalty data, behavioural signals, purchase history, and AI-powered targeting can offer suppliers increasingly sophisticated advertising opportunities connected directly to measurable outcomes.
This changes retail economics materially. In some cases, monetized attention and retail media infrastructure may become as strategically important as merchandise margin itself.
The competitive implications are significant. Retailers with scalable customer-data ecosystems gain new revenue streams, deeper supplier relationships, and stronger monetization opportunities. Retailers without strong data infrastructure risk falling behind in a retail environment where commerce, advertising, personalization, and AI increasingly converge.
Synthesis
Put these patterns together and Q1 2026 looks like a turning point where AI moved decisively closer to the money.
The most important shift is not automation itself. It is mediation. AI increasingly sits between consumers and retailers, influencing discovery, recommendation, merchandising visibility, loyalty, pricing perception, and eventually purchasing decisions themselves.
That creates enormous opportunity for retailers with strong operational foundations, trusted brands, loyalty ecosystems, first-party data, and reliable fulfilment infrastructure. It also creates substantial risk for retailers that become overly dependent on external platforms, fragmented systems, or AI layers they do not control.
The retailers most likely to succeed in the next phase of commerce are not necessarily those deploying the most AI tools. They are the ones capable of integrating AI into a broader operating model built around customer trust, operational discipline, data quality, and strategic control over the customer relationship.
Editor’s Take
The biggest shift this quarter is that AI is becoming the shopping journey itself rather than simply a tool operating inside it.
Discovery, recommendation, merchandising, and increasingly checkout are moving into AI-assisted environments attached to platforms such as Gemini, ChatGPT, Instacart, Shopify, and connected commerce ecosystems. That changes the economics of retail in ways many operators may still underestimate.
The retailers best positioned today appear to be those building both the engine and the rails. Canadian Tire stands out for scaling MOSaiC with Microsoft while simultaneously strengthening Triangle through the RBC partnership. Loblaw is emerging as one of Canada’s most important AI-commerce case studies through its ChatGPT and Gemini integrations and broader push toward becoming what executives describe as an AI-native enterprise. Shopify remains well positioned as flexible commerce infrastructure for an increasingly fragmented discovery environment. Google is clearly advantaged as it pulls shopping behaviour into Gemini through retailer and platform partnerships.
The exposed side is less about individual companies and more about operating posture. Retailers with fragmented systems, weak data governance, poor personalization, limited operational discipline, or weak trust infrastructure may struggle as AI compresses the shopping funnel and platform ecosystems gain influence over discovery.
A debatable call is whether AI ultimately levels the playing field for smaller retailers or squeezes them harder. AI tools may reduce barriers to sophisticated merchandising, marketing, and customer engagement. However, if major platforms increasingly control discovery and recommendation systems, smaller retailers may still find themselves competing primarily on price, speed, and fulfilment efficiency.
What to watch next comes down to four developments. First, how quickly retailers clear foundational technology debt and move AI from pilot programs into repeatable operational systems. Second, whether consumers continue embracing AI-assisted purchasing while maintaining trust around pricing transparency, accountability, and data security. Third, how aggressively retail media ecosystems expand as retailers increasingly monetize customer attention and first-party data. Finally, watch how AI changes the balance between digital convenience and physical retail differentiation. As machine-mediated commerce becomes more common, differentiated human retail experiences may become more valuable, not less.
The practical takeaway for executives is increasingly clear: the next era of retail competition may be decided less by who owns the store and more by who controls the interface between consumer intent and purchase.
Selected Coverage
- Kyndryl forecast: 89% of retail executives expect AI to reshape jobs by 2026 – Mario Toneguzzi – Jan 5, 2026
- Google Expands AI Shopping With Walmart, Shopify, Wayfair – Lee Rivett – Jan 12, 2026
- RBC, Canadian Tire launch loyalty partnership linking Avion and Triangle Rewards – Mario Toneguzzi – Jan 13, 2026
- Temu launches Shopify app to expand marketplace access for small businesses – Mario Toneguzzi – Jan 14, 2026
- Canadian Tire expands Microsoft partnership to scale AI-driven retail intelligence platform – Mario Toneguzzi – Feb 19, 2026
- AI Adoption Accelerates Across Canadian Retail – Lee Rivett – Feb 23, 2026
- AI Tools Enter Retail Platforms as Canadian Adoption Grows – Craig Patterson – Mar 18, 2026
- Instacart introduces ‘Physical AI’ smart carts to influence grocery shopping in real time – Mario Toneguzzi – Mar 30, 2026
- Canadian retailers urged to build trust and personalization through technology: SOTI study – Mario Toneguzzi – Jan 27, 2026
- Why Customer Connection Is the New E-Commerce Advantage – David Nagy – Jan 6, 2026
- Adyen report finds majority of U.S. shoppers open to AI making purchases on their behalf – Mario Toneguzzi – Jan 13, 2026
- Shopify’s Standout 2025: The Launchpad for a New Era of Commerce in 2026, it says – Mario Toneguzzi – Feb 11, 2026
- Zucora offers AI powered training platform for Retailers – Retail Insider – Jan 21, 2026
- Walmart Connect Canada Academy Ad Certification designed to educate and empower advertisers – Mario Toneguzzi – Feb 3, 2026
- The Reset Team Leads Retail Merchandising in Canada – Craig Patterson – Mar 5, 2026
