How AI is transforming merchandising from reactive to proactive

In the digital merchandising realm, companies are shifting from reactive to proactive strategies by leveraging AI tools to predict customer preferences and make data-driven decisions. A recent study found that 76% of surveyed ecommerce customers using Algolia's AI tools have mature data practices, which include consistent and informed data collection, cleaning, and analysis. These companies prefer off-the-shelf commerce platforms and use data analysis tools like R, Python, and SQL to analyze large datasets. The choice of platform and experimentation strategy should be aligned with the company's data maturity level, allowing them to make better decisions and drive business growth. AI tools can help merchandisers track success, identify areas for improvement, and provide insights into customer behavior and trends. By embracing AI tools and fostering mature data practices, companies can accurately predict customer preferences, drive business growth, and stay ahead of the competition.