This Is How Generative AI Can Improve Your Ecommerce Experience
Generative AI is a growing element of the eCommerce world for the benefits it brings to merchants and customers alike. The use cases are broad, and set to take over in the future.
Published February 19, 2025.
Consumer expectations continue to rise along with the standard of experiences that meets them. Clients want a fast, seamless and smart user face, as they have come to expect. Generative AI in eCommerce is the solution to this; giving customers what they actually need. Using Generative AI to enhance Conversational AI creates more personalized journeys, and provides several other benefits.
Generative AI Use Cases
So how can generative AI actually be used? Well, there are various places in your eCommerce store that it can be employed to make the most of its capabilities. For example:
Personalized product recommendations
Upsell and cross-sell
Customer reviews
Price matching
Price history
AI powered conversational commerce
AI personal shoppers
Let’s take a closer look at some of these
AI-Powered Conversational Commerce
Conversational commerce, powered by Generative AI, has changed the whole eCommerce shopping game. It combines messaging with a chatbot to provide customers with 24/7 assistance, and helpful personalized aid on their buying journey. Since covid, 50% of shoppers have come to expect personalized shopping experiences online, so this is a great help in this area.
Conversational commerce can be integrated across digital platforms to offer services such as:
Customized product descriptions
Virtual personal shoppers
Customized recommendations
Tailored information on delivery & returns
AI-Powered Natural Language Search
Instead of wondering how and why to implement natural language search on your eCommerce store, let Fast Simon do the work for you.
Understand the intent behind each query
Predictive autocomplete and typo tolerance
Integrate seasonal search data and trends
AI Personal Shoppers
AI personal shoppers help reduce consumer fatigue, in a time when there are so many options available. These personal shoppers use Generative AI to show users products that suit them, and help them uncover deals they may not find otherwise.
Many shopping journeys these days take place in a non-linear fashion. Generative AI can link these actions together, learning user preferences, and enhancing their experience to suit them. This smooth integration leads to boosted conversions and customer satisfaction.
Upsell and Cross-sell
Generative AI is able to analyze current orders, and recommend additional items to go with the purchase. Rather than standardized or random suggestions, the AI ensures that they are suggestions that the customer will actually appreciate.
Gen AI can even function as a chatbot and use language similar to that of a store assistant. For example:
“I see you’ve added X to your cart, have you considered adding X alongside it? It’s a popular move that a lot of other customers make.”
Speaking in this natural language creates an easy rapport between the AI and the customer, and will lead to increased sales. It humanizes the business, even when it’s a chatbot doing the talking.
Customer Reviews
In a time where social proof is the main currency shoppers will depend on to make sales (rather than marketing alone), reviews are vital. Generative AI can help you to combine all your reviews into one place, gathering them from various sources across the internet.
This takes the job away from customers to have to scour the internet to find reviews and resources; you are doing the work for them. In doing this, you are boosting trust and credibility, and helping your customers make well-informed decisions.
Price Matching
Multi-channel sellers can often sell similar products on the same platforms. Gen AI can communicate with shoppers through a chatbot in order to gather all available prices for a product, and display them to shoppers in a clear and helpful way. This comparison will assure the shopper that they are getting the best deal possible.
Offering this transparency and convenience is a great thing. Especially when shoppers are wanting to have trust in a brand in order to spend with them, especially Gen Z shoppers.
Benefits Of Generative AI
As we can see, there are many benefits to Generative AI as shown through these use cases. Some of them are:
Enhanced customer experience
Increased sales and customer loyalty
A more efficient shopping experience
Boosted brand trust
Conclusion
Generative AI is a hugely efficient way to ensure that your customers are receiving the standard of eCommerce experience they are expecting. There are so many benefits for both merchants and shopper, that it’s no surprise that more and more eCommerce companies are turning to Generative AI conversational commerce to boost their eCommerce brand.
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Fast Simon
Advanced AI-powered search, merchandising, and personalization
Read ReviewsRecommended businesses
Suitable for businesses of all sizes, from SMBs to large enterprises
Integrations
Integrates seamlessly with all major eCommerce platforms including Shopify, Magento, and WooCommerce
Ease of use
Potential learning curve but offers comprehensive support and resources to assist new users
Brief overview
Fast Simon offers AI-driven search and merchandising tools that provide personalized shopping experiences. The platform includes features like AI-powered search, dynamic filters, and personalized product recommendations, all designed to enhance user engagement and boost conversion rates.
By analyzing user behavior in real-time, Fast Simon ensures that customers are presented with products that align with their preferences, streamlining the shopping journey and addressing common eCommerce pain points such as product discoverability and customer retention.
Key features
- AI-powered autocomplete with natural language processing
- Completely customizable search bar with advanced filters and faceting
- No-code editor allows easy customization without coding knowledge
- Great search analytics that provide insights into customer behavior
- Personalized product recommendations and upsell & cross-sell support
- Advanced search functionality like visual discovery and voice search
- A/B testing for efficient merchandising optimization
Success stories
Brands like Steve Madden have leveraged Fast Simon's AI abilities to enhance their search functionality, resulting in improved customer satisfaction and increased sales. By integrating Fast Simon’s AI-powered search, Steve Madden transformed their onsite search functionality. The autocomplete feature, designed with a horizontal layout on desktop and a vertical one for mobile, showcases product images instantly, helping shoppers find items faster. Using Fast Simon’s self-learning search and analytics, Steve Madden tracks the performance of search terms and filters, ensuring relevance and optimizing results for each customer journey.
IMA has also leveraged Fast Simon to understand user intent, significantly enhancing user experience and sales. Fast Simon’s AI not only predicted customer intent with its real-time autocomplete but also allowed IMA to create search rules tailored to their shoppers’ behavior. This reduced time to purchase and improved the overall user experience. As a result, conversion rates for search/autocomplete visitors were 7 times higher than those simply browsing.
Pros and cons
Instant search and real-time suggestions with autocomplete
Synonym and natural language support
Advanced faceting and filtering capabilities
Extensive customer support and resources
Customized merchandising rules and personalized product recommendations
Can be expensive for larger stores with high traffic
Limited features on the free plan
Advanced features may require technical expertise
