Thanks @harleyf - we made it - Oct launch and >1M orders by early Dec.
Shopify x WOB:
7M SKUs
5M daily reprice events
4 currencies
3 languages
2 international warehouses
1 platform
Biggest BFCM, ever.
Biggest Christmas trading, ever.
2025 will be WILD.
I’m thrilled to be joining @Bodenclothing as Director of Product & Portfolio.
Why Boden? They’re a British heritage brand I’ve grown up with, and there’s definitely something special about joining a business that’s loved by three generations of your own family.
Boden is also at a really exciting moment: back to profitability, live on a fresh @Shopify platform, approaching £400M in revenue with a fast-growing US business, the first US store has opened in Atlanta and another shortly in Nashville.
I’ll be leading product, portfolio, UX and AI, and I’m super excited to spend time getting to know our customers, our team and the tech stack!
More soon.
Of course every large platform experiments. That's kind of a given.
But to make the Meta comparison is simply a category error - Meta is rented audience. The entire deal with Meta is that you don’t control the algorithm, you buy probabilistic access to attention and the black box is the product you’re renting.
Experimentation isn’t a violation there; it is the thing you bought. Shopify is the opposite. It’s your store infrastructure, the system of record for a channel you own etc.
I'm massively pro Shopify but also cautious about things like this
@JamesRNail@ericries Sure, but “more customers” assumes they exist to be won. If every competitor gets the same productivity boost, nobody gains share, prices fall, and the gains leak to consumers. Cost-cutting is the rational individual move precisely because demand is fixed. That’s the trap.
This feels like a wild thing to AB without merchants knowing/having control. At perhaps the most critical point in the customer journey, changing the user experience. I am so insanely in favour of how Shopify continues to adapt the platform and make it better for both merchants and customers but this feels like it is slightly too much, asp if the underlying hypothesis is one that may primarily benefit Shop.
The model-obsolescence point is the one most enterprises will under-build for. The fix is to make the AI 'factory' or harness the unit of investment, not the agent.
Architecture specs change when the technology changes; feature specs survive a rewrite of the system beneath them.
A proper harness (instructions, evals, tools, guardrails, observability etc) absorbs the model swap.
Enterprises that treat each agent as a deployable artefact will pay the re-do tax every time a model ships, but I think the ones that treat the factory as the unit will not.
Super interesting! Have been working at WoB on "Modular Dark Factory" - idea borrowed from Fanuc's lights-off factory in Japan. Idea: a spec goes in, deployable software comes out, humans are absent from the production loop but very present in defining and improving the system.
We've built (currently) six interlocking modules:
��� Declarative feature specs (the input layer)
• Testing harness (machine-checkable acceptance criteria, incident-to-test loop)
• Security agent (WoB ASVS + AppSec standards, runs on every PR in CI)
• Data layer (mart-layer contracts, PII boundary at staging)
• Observability + "the Mayor" (decision authority that dispatches RCA / Dev agents)
• Deployment pipeline with auto-rollback on post-deploy contract breach
@rorysutherland Big fan. As a Shopify merchant, it’s also an (almost) entirely free new acquisition and retention channel.
Shopify also had some amazing paid campaign ROI guarantees on Shop App at one point too.
By the time our leadership team got around to a serious conversation about AI strategy, the staff of World of Books had been running one for the better part of a year.
Here's the story of AI implementation at an enterprise Shopify merchant:
https://t.co/927UqRAP9U