AI for E-Commerce: 6 Deployments Worth Testing, and How to Measure Them
Six ways online stores are using AI, from product copy to returns, with the risks of each and the test that tells you whether it works for your store.
Results for AI in e-commerce vary widely by store, catalogue and traffic, and published figures usually come from the vendors selling the tools. The useful question is not "what lift do others claim?" but "how do I test this on my store?". Here are six deployments worth testing, with the measure for each.
1. Product descriptions at scale
For large catalogues with thin or duplicated copy, AI can draft unique descriptions from each product's details. Quality matters: rewording the spec sheet adds nothing; real use cases and details do. Test: rewrite one category, leave a similar one alone, and compare organic traffic and conversion over two to three months.
2. Search that understands intent
Semantic search handles queries like "something for a beach wedding" that keyword search fails. Test: the share of searches returning no results, and conversion from search, before and after.
3. Personalised email
Content and timing based on what a customer browsed and bought, rather than one campaign to everyone. Test: split your list and compare revenue per recipient, unsubscribes and spam complaints.
4. Abandoned cart recovery
Choosing the message, timing and channel for each abandoned cart. Get consent for texts and keep any discount rules deliberate, or customers learn to abandon carts to get one. Test: a holdout group that gets your current sequence.
5. Size and fit guidance
For apparel, recommendations based on a customer's past purchases and returns. Test: return rate for "wrong size" on products with guidance versus without.
6. Pricing support
Models that suggest prices from demand, stock and competitor data. This is the riskiest of the six: prices that feel manipulative damage trust, and some practices draw regulatory attention. Keep human approval and margin floors. Test: gross margin and conversion on a small set of products first.
How to run the tests
Change one thing at a time, keep a comparison group, run long enough to cover a normal sales cycle, and decide in advance what result would make it worth keeping.
Practical takeaway: Start with the deployment that attacks your biggest cost or leak: returns, failed searches or thin product pages. Measure it properly, then decide on the next.
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