An AI content pipeline for e-commerce: a practical guide

A seller growing on Trendyol or Hepsiburada hits the wall of classic photo-video production fast. A new SKU arrives: schedule a studio day, photographer, retouch, approval, upload — two weeks. At that tempo, refreshing a 70-SKU portfolio monthly is impossible.

The new pipeline has 4 components

1. Brand guide: palette, tone and style definition — every output speaks the same voice
2. Input standardization: raw product photo + title + core attributes
3. Model orchestration: Nano Banana for visuals, Seedance for motion, Veo for long-form
4. Quality control: automated product fidelity scoring + a human approval step

Not a single model — the right one

The biggest mistake new teams make is trying to get one model to do everything. Nano Banana is great at product fidelity but doesn't produce cinematic motion; Seedance is the opposite. An agent layer should route each sub-task to the right model.

But you can't remove the human

The AI pipeline can be 90% automated, but final approval has to be human. Brand tone, product truthfulness, legal compliance — a model alone can't guarantee these. The goal isn't to remove the human from the pipeline, but to lift them out of the boring production stages and onto the critical decision points.