/plushcap/analysis/algolia/algolia-ecommerce-ecommerce-search-ai-enabled-personalization

Leveling up ecommerce search with AI-enabled personalization

What's this blog post about?

AI-enabled personalization is helping ecommerce retailers enhance the shopping experience by learning more about customer preferences, behaviors, and needs. This technology uses powerful algorithms trained on shopping behavior and trends to anticipate what shoppers are looking for and make helpful suggestions when they don't know what they want or don't know it exists. Ecommerce personalization is a set of technology, design, and merchandising optimizations that tailor the search and discovery experience to suit individual shoppers’ needs and preferences. AI-enabled personalization can significantly improve critical KPIs such as click-through rate and conversions. However, businesses need to ensure they have sufficient data, technical capabilities, and a marketing team that understands data-driven techniques to fine-tune the machine learning model over time. Some retailers might not be ready to implement AI-enabled personalization, but every retailer should understand the advantages, challenges, and how to get started.

Company
Algolia

Date published
Sept. 18, 2024

Author(s)
Tariq Khan

Word count
875

Language
English

Hacker News points
None found.


By Matt Makai. 2021-2024.