Fast Simon, a leader in AI-powered shopping optimization, has introduced Personalization AI Embeddings designed to significantly improve shopper experiences and conversion rates on eCommerce sites. This new technology leverages AI to create vectors based on a shopper’s journey, enhancing product recommendations, personalized search results, and collections.
1. The Growing Demand for Personalization
- According to Salesforce research, 73% of customers expect better personalization as technology advances.
- The rise of generative AI has heightened public awareness and expectations of AI-powered technology benefits.
2. Fast Simon’s AI Legacy
- Fast Simon has pioneered AI in eCommerce for over a decade.
- The company has consistently improved product recommendations through advanced AI models.
- Past offerings include AI-powered audiences and segmentation to recommend products based on customer intent and actions.
3. Introduction to Personalization AI Embeddings
- Personalization AI Embeddings codify shopper journeys into vectors that inform Fast Simon’s AI model.
- These vectors enable the AI to predict shopper needs, enhancing relevance in product recommendations and search results.
- Combines various inputs: color, category, image matching, text descriptions, customer activity, and location.
4. Key Features and Benefits
- Context-sensitive Recommendations:
- Tailors recommendations based on the shopper’s actions and the context, such as different suggestions on collection pages vs. shopping carts.
- Affinity-based Recommendations:
- Narrows recommendations based on affinities like color and category, improving relevance and conversion rates.
- Example: black shoe polish recommended with black leather shoes, not with brown shoes or black fabric sandals.
- Multimodal AI Inputs:
- Considers multiple inputs like categories, text, and images for comprehensive recommendations.
- Example: “Shop the Look” uses images, written descriptions, and more to suggest complementary items.
5. Enhanced Shopper and Merchant Experiences
- Improves search results, optimizes collection assortments, and suggests relevant product categories.
- Provides merchants with granular control over merchandising to better meet shopper needs.
- Zohar Gilad, CEO of Fast Simon, highlights the goal of exceeding shopper expectations and delivering a personalized journey that makes shoppers feel understood by the merchant.
6. Impact on eCommerce
- Personalization AI Embeddings aim to delight shoppers and drive higher conversion rates.
- Helps eCommerce merchants stay competitive by meeting rising expectations for personalized shopping experiences.
Fast Simon’s introduction of Personalization AI Embeddings represents a significant advancement in eCommerce personalization. By leveraging complex AI inputs and providing context-sensitive, affinity-based, and multimodal recommendations, this technology enhances the shopping experience and boosts conversion rates. As customer expectations for personalized experiences grow, Fast Simon’s innovative approach positions merchants to meet these demands effectively.