Fast Simon’s AI Model Enhances Shopify Product Discovery
Fast Simon has launched a Commerce-Native AI model for Shopify brands, aiming to streamline eCommerce product discovery. The tool merges merchandising, personalization, and optimization into one system, adjusting product rankings and recommendations based on shopper behavior, catalog data, and inventory levels.
Balancing Shopper Preferences and Business Goals
Online merchants face a growing challenge: aligning shopper preferences with commercial priorities. This includes deciding product display order, introducing new items, and managing promotions across search and browsing experiences. Fast Simon’s model allows merchandisers to set objectives and limits, such as product exclusions and campaign priorities, while the system optimizes within these constraints.
The model supports both first-time and returning visitors, aiming to boost conversion rates, average order value, and revenue while reducing manual merchandising tasks. E-commerce platforms increasingly rely on such tools to manage large catalogs, especially during promotional periods.
Combining Human Insight with AI Efficiency
According to Zohar Gilad, Fast Simon’s CEO and Co-Founder, the challenge lies in applying merchandising judgment across numerous customer interactions. “Merchandisers know their brand, their customers, and the business goals they need to achieve,” Gilad said. “The challenge is applying that judgment across every product position and shopper journey.”
The model links shopper intent, merchant objectives, and commerce conditions. It reacts in real-time as customers browse and interact, while retailers retain control through guardrails that shape decision-making. Features include commerce-aware optimization, merchandising-aware personalization, continuous learning from interactions, and visibility into the signals affecting product ranking.
Immediate Availability for Shopify Brands
The launch targets global Shopify brands, where competition over conversion rates and basket size is fierce. The model is available now, expanding Fast Simon’s range of eCommerce tools, including cross-border merchandising and Creative Studio. Thousands of retailers already use their platform for search, merchandising, and personalization.
Retailers can compare the new model’s performance with existing methods through A/B testing. Fast Simon emphasizes that the model is purpose-built for eCommerce, not adapted from general AI systems, ensuring it meets the specific needs of online retail.
