Yes. Ensemble AI uses user affinity to personalize ensembles. Clients can choose the user affinity configuration to tailor ensembles (outfits) to individual users.

Traditional recommendation engines suggest individual items based on the page type, which can engage customers but may not lead to additional purchases.

Ensemble AI, however, presents full outfits or collections that inspire customers by showing how items work together. This approach encourages customers to buy multiple products, increasing conversion rates and order values.

Additionally, ensembles are highly interactive and visually appealing, delivering a differentiated shopping experience.

Further, unlike standard recommendations that use a single model, ensembles are created using multiple models to ensure the best product combinations for both the "seed" product and the outfit as a whole.

Yes, Ensemble AI can be used in industries such as beauty, electronics, and furniture to create compelling product combinations.

Yes, clients have full control over the visual design. You can either modify the default solution or create an entirely new look.

Ensembles are updated daily, based on the latest catalog feed. This ensures that the recommendations are always current. Changes to ensembles can be managed through style definitions. Additionally, the NLP cross-sell model (available to Ensemble AI clients) uses vectors to find suitable cross-sell products, which also helps with new product launches.

Yes, Ensemble AI integrates smoothly with major eCommerce platforms like Shopify, Magento, Salesforce Commerce Cloud, and custom-built solutions via APIs.

Yes, Ensemble AI optimizes recommendations for both mobile and desktop, ensuring a seamless experience across devices.

Yes, with Active Content, our no-code tool for marketers, ensembles can be featured in emails and on social media.

Yes, with our Multivariate Testing (MVT) feature for Ensemble AI, clients can conduct A/B testing to compare performance with their current setup.

Ensemble AI is designed for efficiency, using lightweight scripts and optimized loading techniques to minimize any impact on site performance.

Ensemble AI typically increases customer engagement, conversion rates, and average order value by offering relevant and inspiring product combinations.

Yes, Ensemble AI complies fully with GDPR, CCPA, and other data privacy regulations, ensuring that customer data is handled securely.

Ensemble AI offers comprehensive analytics and reporting tools to track metrics such as click-through rates, conversion rates, and revenue generated by ensembles.

Ensemble AI dynamically adjusts the recommendations based on real-time inventory data, ensuring that only in-stock products are displayed.

Yes, Ensemble AI supports multiple languages and currencies, making it ideal for global brands.

Ensemble AI does not promote items outside of the generated ensembles. However, clients can add specific products or categories to the list of items considered in the ensemble generation process. Filters for categories or brands can also be applied to generate targeted ensembles.

Yes, Ensemble AI integrates with a wide range of marketing automation and personalization platforms, ensuring a cohesive strategy across all channels.

Ensemble AI includes dashboards that provide insights into engagement, orders, and add-on sales, helping you identify successful styles and optimize recommendations.

Yes, Ensemble AI can be used across omnichannel environments, including in-store kiosks and digital displays, to create a consistent and engaging experience both online and offline.

Clients can adjust certain aspects of the model, such as specifying complementary colors or updating the default mappings to suit their preferences.