AI for E-commerce: Where It Actually Pays (and Where It Just Adds a Ticket Queue)
Coming soon: a Workflow Decision Lab breakdown of AI for small e-commerce — product pages, support triage, and order updates. What to automate first and what to leave human.
Coming soon. This is the first Decision Lab piece for e-commerce and D2C operators — the one that will decide, for a small catalog, where AI support actually saves money and where it just creates a ticket queue you have to babysit.
When it ships it will follow the same format as the AI receptionist guide: a named scenario, a verdict, the workflow, the cost shape, the failure modes, and a 30-day test.
In the meantime, the version of this that’s true for almost every small store: automate the three questions you already answer 20 times a day (order status, shipping, returns policy) before you try to automate the rest. The moment an AI starts drafting anything a customer reads, the failure modes get expensive. That’s the part this guide is about.