Overview

Are the costs and hours that go into producing creative for your e-commerce brand swelling year after year?

New product rotations, seasonal campaigns, tailoring assets for each channel—e-commerce generates a never-ending stream of creative demand. And each time, the cycle repeats: briefing designers, back-and-forth with outside vendors, endless rounds of revisions. Haven't you come to accept the situation of "we have things we want to make, but production speed just can't keep up" as simply the way it is?

In fact, we often hear things like:

• "Every single banner requires a request to a designer, so the assets never arrive in time for a product changeover…"
• "Outsourcing costs have become a fixed expense, yet we can't increase our production volume, so we're barely running any A/B tests…"
• "We tried generative AI, but it doesn't produce creative that matches our brand tone and guidelines, so in the end manual fixes just pile up…"

In 2026, the use of generative AI has evolved from "a helper tool for making a single banner" into "a flow that brings ad images, product pages, and landing pages all in-house together." Once you have the right workflow design and know how to embed generative AI, you can break free of outsourcing dependence and build a system that mass-produces creative using nothing but internal resources.

In this seminar, we'll walk through concretely the latest examples of generative AI in e-commerce brand creative production, along with the practical know-how for designing a workflow that brings everything from ad banners to product pages in-house.

What You'll Learn

① The big picture of the "workflow design" that makes in-house e-commerce creative a reality

How to embed AI across ad banners, product pages, and landing pages, and in what order to bring each in-house. We'll share the thinking behind flow design and its building blocks for escaping outsourcing dependence.

② Concrete steps for mass-producing creative with generative AI while preserving your brand tone

We explain how to configure generative AI to consistently produce images and text that follow your brand guidelines, plus the practical operating steps for building it into a mass-production flow.

③ The priorities and phased implementation steps that let e-commerce teams act right away

Which creative to bring in-house first, and how to expand from there. We'll share the decision criteria and rollout roadmap for cutting production cost and hours at the same time.

Who Should Attend

• Anyone who outsources the production of e-commerce ad banners, product pages, and landing pages and is looking to cut both cost and hours
• Anyone who has tried generative AI but can't mass-produce creative while preserving their brand's world and aesthetic
• Anyone who feels production speed can't keep up because every product changeover or campaign triggers designer requests and vendor coordination
• E-commerce marketers who want to move production in-house but haven't sorted out where to start

This seminar lays out concretely the latest practical techniques for bringing production in-house—from ad banners to product pages—with a workflow that has generative AI built in. We look forward to having you join us.