Ever had a product page feel like it was designed just for you? That’s not a coincidence—it’s personalization, and generative AI is what’s making it scalable, relevant, and incredibly effective. This lecture explores how today’s leading e-commerce marketers are using AI to craft tailored experiences that actually resonate.

You'll learn:

• Why personalization is no longer optional in digital commerce—and how AI helps brands deliver it

• How generative AI customizes website content, emails, and offers in real time for individual users

• Real-world examples, from Amazon’s dynamic product titles to personalized promotions by big retailers

• Tips for managing personalization at scale—without creeping out your customers

• The key challenges to watch for, including stale data, tone mismatches, and over-personalization

Ever wonder how product suggestions go from “kind of helpful” to “exactly what I needed”? The answer is smarter recommendation engines—and generative AI is powering the next generation. This lecture breaks down how AI goes beyond generic suggestions to deliver real-time, personalized recommendations that boost both engagement and conversions.

You'll learn:

• How traditional recommendation systems work and what generative AI adds to the mix

• The role of conversational AI in product discovery—like having a virtual store associate on demand

• Real examples from brands like Amazon and The North Face using AI to tailor suggestions

• What marketers need to get right: from clean data to placement strategy and user trust

• Key pitfalls to avoid, like over-personalization or relying on AI without proper control

For many marketing teams, writing product copy is the hidden bottleneck—slow, repetitive, and hard to scale. But what if your first drafts could be ready in seconds, in your brand voice, and optimized for SEO?

In this lecture, you'll discover:

• How generative AI is transforming product descriptions, email copy, and ad headlines

• Real-world use cases, from CarMax to Amazon and Shopify, showing how teams are scaling content creation

• Best practices for using AI effectively: from high-quality prompts to tone guidance and human oversight

• The role of AI in boosting SEO and accelerating go-to-market speed

• Cautionary examples where over-automation led to public mistakes—and how to avoid them

Need a dozen product photos, a social ad variation, and a homepage banner—by end of day? You’re not alone. Visual content is the heartbeat of e-commerce marketing, and generative AI is becoming the engine behind it.

In this lecture, you’ll explore:

• How brands like Amazon, eBay, and Levi’s use AI to create product images, videos, and inclusive model photography

• Tools and workflows that allow marketers to generate and test dozens of visuals—without a photo shoot

• Strategic benefits like creative variation, faster A/B testing, and scalable localization

• Brand safety and ethical considerations: when to disclose AI-generated visuals, and how to avoid misleading imagery

• Tips for integrating AI into your creative pipeline while keeping human oversight and brand consistency intact

Not every great shopping experience starts with a search bar—sometimes it starts with a question. And in today’s e-commerce world, that question is increasingly answered by AI.

In this lecture, we’ll explore:

• How generative AI enables natural, flexible, and brand-consistent conversations with customers

• Use cases from brands like CarMax, Klarna, and Style DNA, showcasing AI-powered chat assistants in action

• How conversational bots can assist with support, discovery, and conversion—while operating 24/7

• Common risks to watch for, like hallucinations or unauthorized offers, and how to build guardrails

• Best practices for training, transparency, and blending bots with your human support team

It’s one thing to be inspired by AI use cases—it’s another to actually implement them in a real-world marketing operation. Without the right plan, even the best tools can stall out.

This lecture gives you the roadmap to move from inspiration to execution:

• How to identify high-impact, low-friction starting points for AI in your marketing funnel

• What needs to be in place in terms of data quality, team roles, and tech stack

• A five-step framework for piloting, scaling, and governing generative AI efforts

• Real-world examples of companies using AI to streamline workflows and boost performance

• Tips for aligning people, process, and platform to unlock long-term value from your AI investments

Not all AI-generated content is created equal—and without the right guardrails, what starts as a productivity boost can quickly become a quality headache. That’s why getting consistent, brand-aligned results takes more than just clicking “Generate.”

This lecture breaks down the six essential practices every marketing team needs to get right:

• Why human-in-the-loop workflows are still critical for quality control

• How to write better prompts that produce stronger, more brand-consistent content

• Setting up AI guardrails for tone, compliance, and factual accuracy

• Tips for scaling creative iteration with data-driven testing

• How to foster cross-team collaboration between marketers and AI experts

Generative AI unlocks incredible potential—but it also introduces serious risks if used carelessly. As e-commerce marketers deploy these tools at scale, new questions are emerging around fairness, accuracy, privacy, and trust.

This lecture explores the hidden pitfalls and ethical red flags that come with AI-powered marketing:

• Spotting and mitigating bias in AI-generated content and visuals

• Understanding “AI hallucinations” and how to fact-check automated outputs

• Navigating data privacy, transparency, and consumer trust

• Avoiding overreliance on automation while maintaining human creativity

• Keeping up with evolving legal frameworks, copyright laws, and compliance standards

Generative AI isn’t just a trend—it’s a fast-evolving capability that’s redefining the future of e-commerce marketing. So what should you be watching for next?

This forward-looking lecture explores where the technology is heading and how marketers can stay ready for what’s coming:

• Conversational Commerce 2.0 and the shift away from traditional search bars

• Hyper-personalization at scale through AI-powered “segments of one”

• Multi-modal customer experiences that combine voice, visuals, and interactivity

• Emerging marketing channels like virtual influencers and AI-enhanced 3D retail

• The evolving role of marketers—and the new skill sets needed to lead in an AI-first world

You’ve explored the strategies, tools, and trends shaping generative AI in e-commerce—but what now? This final lecture helps you bring it all together and move from learning to implementation.

We’ll highlight the most important insights from the course and give you practical, no-fluff advice on how to move forward with confidence:

• Revisit key takeaways on personalization, product discovery, and content creation

• Learn best practices for scaling AI use—without losing your brand’s voice

• Get a tactical list of dos and don’ts to guide your next AI project

• Discover resources, communities, and tools to help you keep learning

• Walk away with a clear plan for applying AI to your real-world marketing workflow