By Ruth Richter • August 06, 2024
When it comes to shopping for anything, personalization is key. That’s why many retail stores have associates who will pick out clothes for each individual customer—because who can say no to trying something on if it was picked just for you? At ultra high-end stores, personal shoppers will select outfits based on an extensive analysis of your style and preferences.
Personalization is just as important to the ecommerce experience, but it’s much harder to achieve. Instead of simply asking a person what they’re looking for, personalized recommendations rely on data such as browsing history, order history, and more. Unfortunately, this in-depth analysis is almost impossible to do by hand.
How AI Enables Personalization
Thankfully, there is an answer! Business leaders in every industry are discussing and testing out ways to use AI to enhance their profitability, efficiency, and customer satisfaction. One of the biggest ways AI has affected ecommerce so far is its ability to create a personalized shopping experience.
Because it can analyze vast amounts of data quickly and efficiently, AI can accomplish a level of personalization that’s impossible with only manual efforts. In moments, AI can analyze a customer’s browsing history, order history, personal data, and much more in order to paint a full picture of their behavior—and predict what their future behavior may be. This has major implications for the world of personalized ecommerce.
Adobe Commerce Embraces AI
Adobe Commerce is one of the best examples of a software that has truly embraced AI for the purposes of a personalized shopping experience. The benefits of AI (Adobe’s AI tool is called Adobe Sensei) in Adobe Commerce can be roughly divided into two important categories: search and ranking filters as well as recommendation and segmentation features. Let’s take a closer look at both.
Search and Ranking Features
In the first place, Adobe Commerce now includes Live Search, which transforms the customer search experience. With every query, Live Search combines the data it has about a customer with previous behavior and current trends in order to show items in categories such as “recommended for you,” “most viewed,” and “trending.”
Live Search will also optimize the product order in each search and product category page to prioritize items a customer would be most likely to purchase. It even gives customers results after each keystroke and takes synonyms into account in order to further facilitate rapid searches.
Recommendation and Segmentation Features
Segmenting your customer base—organizing customers into categories based on age, interests, gender, etc.—used to take hours upon hours of manual labor. Now, through Adobe Sensei, companies can create rules-based customer segments who will see specific product recommendations.
Adobe Sensei also enables multiple kinds of product recommendations, depending on your company’s needs: shopper-based, item-based, and contextual popularity-based recommendations are all possible. It can even take customer-specific promotional pricing into consideration at the same time.
Benefits Galore
Clearly, Adobe Commerce is taking AI seriously. We haven’t even touched on all the benefits that AI can have for your employees! AI is truly transforming every aspect of the ecommerce landscape—and opening up new and exciting ways to increase efficiency without sacrificing customer satisfaction. Through AI, your customers can experience an entirely new way to shop online.
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Of course, such a powerful ecommerce system is nearly useless if it isn’t connected to your business data stored in your ERP. After all, AI needs as much data as possible in order to function well.
Here at ROI, we specialize in ERP-to-ecommerce integrations, and our product IN-SYNCH has connected Adobe Commerce with Sage 100 for years. If you’re ready to integrate, we’re here to help! Contact us today to get started.