Showcasing the SAP CX AI Toolkit and the latest Intelligent Selling Services updates

Launched publicly in Q2 2024, the SAP CX AI Toolkit introduces a groundbreaking cloud-native solution that integrates generative AI with advanced data analysis into the SAP CX ecosystem. Specifically designed for SAP Commerce Cloud, this toolkit empowers businesses to transform basic product data into engaging and personalized content. It enhances customer engagement and seamlessly guides users through their purchasing journey, ultimately boosting satisfaction and loyalty.

Key features include Intelligent Q&A, Visual Search, AI Product Tagging/Descriptions, AI Product Images, and more. For a comprehensive and continuously updated list, please refer to the features overview table on the SAP CX AI portal page.

Recent Searches is now supported and integrated into the search box in SAP Commerce Cloud, composable storefront. This intuitive addition allows users to view previously used search terms, facilitating quick access to relevant results. By implementing recent searches support, you can expect an increase in conversion rates as users are more likely to make purchases when they can easily revisit and refine their recent queries.

Trending Search Terms are supported in the search box of SAP Commerce Cloud's composable storefront, allowing the display of the most popular search terms even before users begin typing. This feature assists shoppers in quickly discovering relevant products, enhancing the customer experience, and boosting sales.

Explore the new SAP Companion guided tours to learn how to effectively use Intelligent Selling Services alongside the UI elements:

• First Steps in Intelligent Selling Services: This tour guides you through creating the essential components of Intelligent Selling Services.
• Product Mix Creation: Learn how to create your first product mix within Intelligent Selling Services.
• Strategy Creation: Develop your strategy to align Intelligent Selling Services with your business goals and customer preferences.
• A/B Test Creation: Set up A/B tests to compare the performance of different product mixes, allowing you to optimize your offerings based on data-driven insights and make informed decisions that resonate with your audience.