The world of digital product selling is evolving fast, and artificial intelligence (AI) is at the heart of this transformation.

Unilever, one of the biggest players in the consumer packaged goods (CPG) industry, is leveraging AI-powered digital twins to cut production time in half and reduce costs by 50%—all while maintaining brand authenticity and creative integrity.

So, what can digital product sellers learn from this? A lot.

Let’s break down how AI-driven digital twins, content automation, and efficiency-focused marketing are reshaping the landscape—and how you can apply these insights to scale your own digital product business.

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What Are Digital Twins, and Why Do They Matter?

A digital twin is a highly detailed 3D replica of a physical product. Unilever is using Nvidia’s Omniverse platform to create these replicas, making it easy to generate realistic product images, adapt them across marketing channels, and streamline content production.

In practical terms, this means:

✅ Faster content creation – No need for expensive photoshoots or manual design edits.

✅ Seamless cross-platform adaptation – A single product image can be instantly optimized for social media, e-commerce, and ads.

✅ Cost savings – More efficiency means fewer resources spent on repetitive design work.

For digital product sellers—whether you’re selling printables, templates, e-courses, or e-books—this technology eliminates busywork and helps you scale faster.

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How AI-Powered Content Creation Saves Time and Money

Unilever isn’t just using AI to make content faster—it’s using it to be more strategic. The key takeaway? AI isn’t about producing more content—it’s about producing the right content, faster.

Here’s how digital product sellers can apply this:

🔹 Automate Content Repurposing

Instead of manually adjusting images, descriptions, and designs for each platform, AI can do it for you. 💡

Example: Create a single product image and use AI to instantly generate variations for Instagram, Facebook ads, Amazon listings, and Pinterest.

🔹 Speed Up Product Mockups & Listings

AI-generated digital twins allow Unilever to instantly create new product visuals. 💡

Example: If you sell Canva templates or digital planners, AI can generate multiple mockups showing how your designs look in different use cases—without extra design work.

🔹 Enhance Personalization for Buyers

Unilever’s AI ensures each market sees the most relevant version of their content—different languages, packaging, and branding. 💡

Example: Use AI to generate personalized recommendations for different audience segments (e.g., custom product descriptions based on customer preferences in Shopify).

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Why This Isn’t Just About AI—It’s About Smart Marketing

Unilever’s CMO, Esi Eggleston Bracey, made it clear: This isn’t just about pumping out more content—it’s about freeing up marketers to focus on creativity, storytelling, and brand strategy.

Here’s how you can apply this mindset to your digital product business:

💡 Use AI to eliminate repetitive tasks (mockups, descriptions, resizing) so you can focus on higher-level strategy.

💡 Keep branding and authenticity at the center—don’t let AI generate generic-looking content that lacks personality.

💡 Experiment with AI-powered content creation, but always ensure it aligns with your audience’s needs and expectations.

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The Ethical Side of AI in Digital Product Selling

One of the most interesting parts of Unilever’s AI strategy is what they won’t do—for example, Dove has pledged not to use AI models in place of real women in its advertising.

For digital product sellers, this highlights an important lesson: AI should enhance, not replace, human connection.

👉 Be transparent about your use of AI in product creation and marketing.

👉 Ensure AI-generated content aligns with your brand values—don’t compromise authenticity for convenience.

👉 Balance automation with personalization to create a real connection with your audience.

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The Future: AI-Optimized Marketing & E-Commerce Growth

Beyond content creation, Unilever’s AI-driven strategy includes a massive shift in marketing focus: 🚀 50% of its marketing budget is now allocated to social media and influencer partnerships.

This signals a broader trend that digital product sellers should pay attention to:

✔️ Social media + AI-driven content = the future of product visibility.

✔️ Influencer marketing is becoming more data-driven and AI-optimized.

✔️ E-commerce sellers need AI-powered tools to stay competitive.

What This Means for Digital Product Sellers

🛍 AI-powered ads & analytics can help identify what content performs best. 📢 Influencer marketing is evolving—AI can help find the best partnerships.

💰 AI-driven e-commerce recommendations can increase conversions.

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Final Takeaways: How to Apply This to Your Digital Product Business

Unilever’s AI-powered approach to marketing and content creation offers key lessons for digital product sellers.

🚀 Actionable Steps to Take Today:

✅ Leverage AI-powered design tools like Canva Magic Studio or MidJourney to generate product visuals faster.

✅ Use AI for content automation—resize, reformat, and optimize images across multiple platforms.

✅ Experiment with AI-driven product descriptions & chatbots to enhance e-commerce experiences.

✅ Balance AI with authenticity—let AI handle efficiency, but keep human creativity in your brand storytelling.

✅ Follow AI-driven marketing trends—invest in social media, influencer marketing, and personalization.

The bottom line? AI isn’t just about making things faster—it’s about making digital product businesses more scalable, profitable, and creative.

If you’re not already integrating AI into your workflow, now’s the time to start. 🚀

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What do you think?

Are you already using AI to scale your digital product business? Share your thoughts in the comments! 💬

Book a 1:1 6-Figure Scaling Call with me here!

Reference Article: https://www.marketingdive.com/news/unilever-ai-marketing-bets-halve-production-costs-double-speed/742913/