4 Key Uses of SAP Business AI in eCommerce

In today’s fast-moving retail landscape, AI is critical for businesses to stay competitive and adjust to shifting consumer behaviors. With rising expectations for personalization, speed, and convenience, retailers need data-driven solutions to engage shoppers online. SAP Business AI provides a wide range of purpose-built AI tools to enhance customer engagement and drive automation in eCommerce.

WHAT IS SAP BUSINESS AI?

SAP Business AI is a suite of AI capabilities embedded throughout SAP applications. With over 230 AI-powered scenarios, businesses can leverage autonomous systems to boost productivity on every team. Joule, SAP’s generative AI copilot, uses natural language processing to streamline user communication and is powered by AI agents that meet company-specific needs across business functions.

In this piece, we explore four ways SAP Business AI is transforming how retailers approach eCommerce.

SAP BUSINESS AI IN ECOMMERCE

Optimizing Audience Segmentation

To reach shoppers with the right messaging, it’s necessary to invest in audience segmentation. AI-driven insights help retailers efficiently group customers based on predicted behaviors like conversion, churn, or spending. By identifying these behavioral patterns in real-time, businesses can personalize offers based on customer lifecycle stage and engagement levels.

From retaining first-time buyers to identifying at-risk contacts, building smart customer segments is critical for driving eCommerce growth. SAP Business AI’s integration with SAP Emarsys Customer Engagement allows retailers to base outreach strategies off smart analytics that continuously monitor customer affinities.

Tailoring Product Recommendations

Retailers should not only know how to group customers efficiently, but also how to recommend relevant products to catch their eye. Intelligent selling services powered by SAP Business AI can help by creating dynamic, personalized recommendations at each stage of the shopping journey.

SAP Business AI’s machine learning algorithms identify products tailored to customer needs and preferences based on their previous searches and purchases and update them in real-time. By highlighting trending and complementary products, retailers can enable a frictionless customer experience and drive conversions.

Enhancing Catalog Descriptions

In addition to improving product recommendations, product data in SAP Commerce Cloud powers generative AI tools through SAP Business AI to create detailed product descriptions published directly to storefronts. This can improve search performance and enhance product discoverability to bring in more revenue across all channels.

In terms of operational impact, AI-generated descriptions reduce time spent writing by 60%, allowing retailers to focus on retailers to focus on additional value-add activities and solutions that strengthen their online presence.

Automating Sales Orders

To continue reducing manual effort, retailers can also automate data extraction for sales orders in SAP S/4HANA. Once they upload unstructured purchase order files like PDFs and images, the system captures key information for sales order requests.

Because AI fills in the proposed fields automatically, it can significantly increase accuracy in omnichannel order processing, with retailers benefiting from 25% lower order creation costs and increased ability to handle large order volumes.

LOOKING AHEAD

SAP Business AI has countless valuable use cases in eCommerce, all of which position retailers for success and help shoppers find the right products at the right time. Retailers who take advantage of these AI solutions can differentiate themselves from competition through streamlined operations and data-driven personalization.