Making the Most of SFCC Einstein: How DEMAND Helps You Get It Right

If you’re running a storefront on Salesforce Commerce Cloud (SFCC), you’ve probably heard of Einstein, the AI engine that helps personalize the shopping experience. It’s not just a buzzword. When set up properly, Einstein can boost customer engagement, make product discovery easier, and drive conversions without adding manual effort for your merchandising team.

But to get those results, implementation matters. That’s where DEMAND comes in.

What Is Einstein in SFCC?

Einstein in SFCC isn’t one single tool, it’s a collection of smart features. You’ve got product recommendations that adapt to customer behavior, predictive sorting that shows shoppers what they’re most likely to buy, insights that help you spot product pairings and trends, and even personalized email recommendations. If your customers are clicking, browsing, or buying, Einstein is learning.

So, What’s Involved in an Einstein Implementation?

There’s more to it than flipping a switch. The process involves a few key steps, and each one plays a part in making sure the AI delivers what it promises.

First, you need to make sure your catalog and product data are clean, complete, and ready to go. Einstein depends on good data to make smart decisions. Once that’s in place, you’ll configure your Einstein settings in Business Manager and start sending data feeds, things like products, orders, and customer interactions, to Salesforce. These feeds train Einstein’s machine learning models, so accuracy matters here.

Next comes integration. This part is where DEMAND really shines. Whether it’s placing dynamic recommendation blocks on your product detail pages or adjusting your category sorting templates to work with Predictive Sort, our developers know how to get everything where it needs to be. We also make sure your site is tagged properly so Einstein can track user behavior, which is essential for personalizing future experiences.

If you’re using Commerce Insights, there’s not much front-end work needed, but we’ll still help you configure and test the feeds so your reporting dashboards reflect the most useful data. And if you’re integrating with Marketing Cloud for email recommendations, we’ll make sure your templates are built to pull in personalized suggestions seamlessly.

Don’t Skip the Testing

Once everything is set up, it’s testing time. We make sure data is flowing, recommendations are appearing where they should, and tracking is picking up the right events. We also help you plan for fallback scenarios, because AI is great, but having a backup plan is even better.

From there, we help you keep an eye on performance through Einstein’s built-in dashboards and recommend tweaks based on your goals and what the data is showing.

How DEMAND Helps

Einstein works best when it’s implemented by people who understand both the tech and the strategy. DEMAND has developers and architects who have worked across SFCC storefronts of all shapes and sizes. We’ve integrated with third-party tools, worked with custom templates, and fine-tuned AI-powered features to fit brand goals. Our team takes the guesswork out of setup and ensures your Einstein implementation doesn’t just function, it performs.

Whether you want to dip your toes into product recommendations or go all-in with personalized email campaigns and predictive sorting, we can help make your AI investment count.

And with the Agentic approach on the horizon, where AI takes more initiative, adapts to real-time context, and collaborates more intelligently, our team is already preparing for what’s next. We’ll help you evolve with these advancements so your brand doesn’t just keep up with AI—it leads with it.