Optimizing shoppers’ journey with a headless approach to AI

Winning in the online world requires creating a personalized experience that is effortless for shoppers, using various approaches such as self-declared preferences and demographics, third-party data, and AI techniques. However, overusing AI optimizations can lead to creepy experiences that deter consumers. Retailers need to balance personalization with privacy concerns, especially as global regulations become more restrictive. To achieve this, retailers require a new way to augment experiences by predicting shopper intent in real-time using multiple machine learning models. This is often impossible for most retailers due to the complexity and customization challenges of creating comprehensive AI/ML models from scratch. Instead, Algolia AI Studio offers pre-built AI building blocks that can be easily implemented into websites or applications, streamlining deployment and covering every step of the shopper's journey.