The most expensive part of e-commerce used to be the part nobody budgeted properly: photography. Studio days, reshoots, and the meter restarting with every new SKU. AI production has rewritten that math, but the difference between campaign-grade output and obvious AI slop is a system, not a prompt.
How the pipeline works
Serious AI product photography starts before generation: locking a visual system of angles, lighting logic and surface treatment so image one and image sixty look like siblings. Then the pipeline is tuned to the category and its hardest details, metal reflections, fabric weave, glass transparency. Every output passes a human quality gate calibrated to campaign standards, and anything below it dies before the client sees it. We documented the full approach on our AI Production service page.
What it costs versus a studio
The honest comparison is not per image but per usable library. A traditional shoot prices per day and per reshoot; an AI pipeline prices the system once, after which the marginal image approaches zero. Our 66-product jewellery library shipped in days without a single studio booking, and now extends on demand.
When a real shoot still wins
Categories where photographic truth is legally or emotionally critical, hero campaign imagery, and founder or team photography. The sweet spot for most brands is hybrid: one compact real shoot for truth, AI for scale, variants and formats.
Questions to ask any AI production vendor
Who checks accuracy against the physical product? What happens when the model cannot render a detail truthfully? Can they match your existing brand photography? Vendors without crisp answers are selling prompts, not production. Ours are on the record, and the FAQ on the service page answers the hard ones first.