Welcome back. Retail is entering a phase where the biggest changes are happening beneath the surface. Not louder campaigns or faster promos, but quieter shifts in how decisions are made and who or what influences them.

This issue focuses on those shifts. AI is becoming the first step in discovery, platforms are redesigning for non-human shoppers, and retailers are being pushed to rethink their operating models.

You will also find a preview of Caddle Corner, a new weekly section launching in January in partnership with Caddle. It will bring data-backed insight into how Canadians are shopping and how those behaviors are evolving.

Let’s dig in.

Spotlight: Why GeekSpeak Commerce Is Worth a Closer Look

This week’s spotlight is on geekspeak Commerce, a full-service ecommerce partner built for brands navigating increasingly complex digital shelves across Amazon, Walmart, retail media networks, and owned channels.

What stands out immediately is how GeekSpeak approaches ecommerce as a system, not a series of disconnected tactics. Their work spans product data, content enrichment, digital shelf analytics, retail media, and marketplace execution, all designed to help brands show up correctly, consistently, and competitively wherever shoppers are searching and buying.

GeekSpeak combines strategy, content, and data into a single operating model. That means product listings are not just optimized for compliance or SEO, but built to convert. Advertising is not run in isolation, but informed by product readiness, category context, and retailer-specific dynamics. Their experience across Amazon Ads, Walmart Connect, Instacart, MediaAisle, and other RMNs reflects a deep understanding of how performance actually happens on the digital shelf.

What I appreciate most is their emphasis on execution discipline. Their managed services model feels designed for real retail teams dealing with SKU sprawl, multiple banners, bilingual requirements, and constant platform change. They meet brands where they are and help them mature from basic compliance to category leadership.

Strengths

Deep expertise across ecommerce content, product data, and retail media networks.

Strong focus on digital shelf fundamentals like PDP quality, visibility, and share of voice.

Proven experience managing complex, multi-brand and multi-retailer portfolios.

Clear integration between content, advertising, and performance analytics.

A team structure that acts as an extension of internal brand teams rather than a siloed agency.

Limits

Like any managed services partner, success depends on alignment with internal teams and clear priorities.

Best results come when brands are willing to treat ecommerce as a core growth engine, not a side channel.

Their value compounds over time rather than delivering overnight wins.

Why I’d Take the Meeting

Ecommerce has reached a point where execution gaps are expensive. Poor product data, inconsistent content, and disconnected media strategies quietly erode performance every day.

GeekSpeak Commerce sits at the intersection of where many brands are struggling right now. Digital shelf complexity is rising. Retail media is fragmenting. Content requirements keep expanding. Internal teams are stretched thin.

This is the kind of partner I would want in the room if I were responsible for scaling ecommerce revenue without adding headcount. For brands looking to clean up fundamentals, improve performance across marketplaces, and operate with more confidence, this is absolutely a conversation worth having.

Caddle Corner | A New Weekly Insight Starting in January

I am bringing something new into the Roundup. Beginning in January, every issue will include a short, sharp on “hot topic” data insight from Caddle’s Canadian panel. The goal is simple. Give you weekly insights on how Canadians are shopping, what is changing, what is coming and where smart retailers should pay closer attention.

Here is a sample of what you will see going forward.

How AI Is Quietly Reshaping the Canadian Shopping Journey

Caddle surveyed more than 8,000 Canadians across every province, income range, and generation. The takeaway is clear. AI is no longer something shoppers are warming up to. It is already part of how people discover, compare, and choose products.

Where Shoppers Use AI Most

Across the four categories studied, adoption ranges from 18 percent to 24 percent. That tells us this is mainstream behavior, not edge-case experimentation.

Here is how it breaks down:

  • Holiday décor: 20 percent of shoppers use AI for inspiration, style themes, color palettes, and curated lists.

  • Winter power equipment: 18 percent look to AI for product comparisons and driveway specific advice.

  • Automotive accessories: 19 percent rely on AI to avoid compatibility mistakes and troubleshoot issues.

  • Home electronics: 24 percent, the highest of all categories, use AI to decode specs and find the best value.

These numbers come with a mindset shift. In each category, shoppers see AI as a kind of helper. Stylist. Problem solver. Mechanic. Advisor.

A New Layer of Trust

Nearly half of Canadians now trust AI recommendations as much as or even more than familiar sources like store staff or brand websites. That is a big shift in who earns authority in the shopping journey.

If shoppers begin with AI instead of a search bar, retailers need to be sure their product data is ready for that moment.

Generational Momentum and Regional Patterns

Younger shoppers have the highest adoption. Gen Z and Millennials treat AI like a natural extension of research. Gen X turns to AI for clarity. Boomers adopt more slowly but show rising curiosity.

Regionally:

  • Ontario and BC lead in usage

  • The Prairies lean heavily on AI for winter and automotive decisions

  • Quebec’s adoption is lower overall but spikes when AI solves a clear functional need

  • Atlantic Canada still prefers in person retail and traditional research Caddle Shopping Insights - Cate…

AI is not one single behavior. It is shaped by climate, lifestyle, and digital familiarity.

My Take

AI is becoming the first step in discovery. If a shopper’s first conversation happens with an AI agent, your product content needs to be written in a way that AI can read, understand, and confidently recommend. Think clarity. Purpose. Strong use-case examples. That first moment is where the competition begins.

A Question to Leave With

If AI guided your customer’s first step tomorrow morning, would your brand be the one it selects?

NEW -  The Hiring Snapshot. Who’s Hiring Right Now

One thing I hear constantly from founders and operators is how hard it is to find the right talent at the right moment. So starting this week, I’m adding a short hiring snapshot to the Roundup.

Mateo Polic and I have known each other for over 12 years. Over that time, I’ve seen firsthand how he and his team at Accentio operate, focused, fast, and deeply connected to the talent market across North America. Accentio is a boutique recruitment firm working across AI, marketing, product, and executive leadership, and they often see hiring demand before it shows up on job boards.

Each week, we’ll highlight a small set of roles that are actively open right now.

This Week’s Open Roles (via Accentio)

Shared by Mateo Polic, CEO & Founder, Accentio

  • Manager, Paid Social 9-figure US-based pet food company Fully remote

  • Chief Operating Officer (COO) 8-figure US-based SaaS company Fully remote

  • VP, Finance 8-figure US-based SaaS company Fully remote

  • Director of Operations 8-figure Toronto-based consumer services company Hybrid

Interested? Connect directly with Mateo Polic on LinkedIn to learn more about these roles.

Top Retail Signals This Week

  1. Shopify Commits Fully to AI-Native Commerce Shopify’s Winter ’26 release makes its direction clear. The platform is shifting from transaction enablement to AI-first commerce infrastructure. Sidekick is now a proactive builder, Agentic Storefronts let brands control how they appear in AI discovery, and tools like SimGym and Product Network push merchandising into algorithm-driven territory. The signal is simple. Commerce is being designed for AI-led buying, not just human browsing.

  2. AI Becomes a Habitual Shopping Interface This holiday season confirmed it. Shoppers are using AI to find deals, compare products, and make decisions, not just to experiment. Target, Walmart, and Etsy now support shopping inside ChatGPT, while Amazon’s Rufus is already handling massive volume. As conversational search grows, whoever owns the AI interface increasingly owns the customer relationship.

  3. lululemon Enters a Leadership Transition Moment CEO Calvin McDonald will step down in January 2026 after a decade of expansion that tripled revenue and global reach. Interim co-CEOs and an executive chair signal continuity, but moments like this test strategy and culture at the same time. Growth eras end. How leadership transitions are managed often determines what follows.

  4. Amazon Tests One-Hour Pickup Amazon is reportedly piloting one-hour pickup at Whole Foods and Amazon Fresh, combining marketplace items with store inventory. If it works, the line between ecommerce and physical retail blurs even further. Speed is no longer a differentiator. Immediate access is quickly becoming the baseline.

  5. Agentic Commerce Advances, Slowly AI agents that research and recommend are real and improving, but fully autonomous buying is still limited. Despite rising AI-driven traffic, only a small share converts today. The message for retailers is balanced. Prepare your data and systems now, but stay realistic about what agentic commerce can deliver in the near term.

Takeaway

This week’s signals point to a clear shift. AI is no longer sitting on the sidelines of retail. It is actively reshaping discovery, decision-making, fulfillment, and leadership priorities. Platforms are preparing for non-human shoppers. Customers are trusting AI to guide purchases. Speed expectations continue to rise. And organizations are entering moments where leadership and strategy must evolve together.

Retail advantage is no longer about reacting faster. It is about building systems that can act with clarity.

In Closing

Retail is changing quickly, but the most important work still happens inside teams. Deciding what matters. Choosing where to invest. Letting go of habits that no longer serve the customer.

My goal with this Roundup is not to predict the future, but to help you see the patterns forming underneath it. If this issue helped you frame a conversation or rethink a decision, then it did its job.

Thanks for being here. I appreciate the time and the dialogue more than you know.

Sources

Shopify Winter ’26 RenAIssance ReleasePYMNTS Intelligence Holiday Shopping and AI ReportLululemon Corporate Press Release on CEO TransitionReuters Coverage on Amazon “Rush” Pickup TestingGeekWire Analysis on Agentic Commerce and AI Shopping

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