Think conversational commerce is too advanced for your store? You might be closer than you think. Learn how your existing data, support, and marketing already prepare you to start — and how AI can turn them into growth
As a major beauty sector e-commerce retailer, faced a massive challenge managing their 5,000+ products. Their catalog included many similar products, making it extremely difficult for customers to find what they needed using traditional navigation and search tools.
A long, overwhelming list of search results can drive customers away when they’re looking for specific advice. We break down a real-world example of how a simple, guided conversation solves this problem, helping customers find the perfect product with confidence. See the three simple steps that make it work.
Conversational commerce is reshaping how people shop online. Instead of endless filters and keyword searches, customers can now ask questions in plain language — “Is this cream right for my age?” or “Do you have a shampoo for oily hair after keratin treatment?” — and get instant, relevant answers. For e-commerce stores, this shift means higher conversions, lower support costs, and deeper insights into what customers truly want. While the trend is still in its early stages, early adopters like Amazon are already moving fast, and smaller merchants are starting to see results: up to 3× higher conversion rates and 85%+ customer satisfaction
Personalised beauty, advised to perfection: AI-driven precision transforms how customers discover their perfect products. Thanks to the integration of AI technology, the beauty and wellness e-commerce industry is undergoing a transformation. With the rise of AI agents, beauty chatbots and AI-powered beauty advisors, brands can now offer hyper-personalised experiences that cater to individual skin types, beauty goals as well as lifestyle preferences. This transformation is not only improving customer engagement, but also increasing sales and retention rates.
Domain Expertise at Scale: How AI Elevates Online Shopping
Online shopping has come a long way, but for many, it still lacks the personal touch of a traditional retail experience. Enter conversational product recommendations: an AI-powered approach that makes online shopping feel as engaging as walking into a store and interacting with a domain expert who truly understands the products.
One of the biggest promises of conversational AI is its ability to personalize recommendations based on real-time customer data. By understanding what the customer is looking for and expertly guiding them through the available options with data-driven, domain-specific questions, AI systems provide suggestions on a whole new level. This approach mimics the way an expert salesperson in a physical store would ask questions and make suggestions based on individual needs, while incorporating a deeper and more dynamic understanding of product and business-priority knowledge that is nearly impossible to achieve in-store.
Imagine if your store could offer the best parts of a real-life retail experience, minus the sore feet, long lines, and limited stock. Picture personalized product recommendations that make online shopping feel like interacting with a knowledgeable, helpful store advisor—all without leaving your couch. This is the promise of AI-driven commerce.
