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Import your catalog
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E-commerce AI that guides customers toward making purchases
Neural research and Sensefuel agentic AI analyze behaviors, anticipate needs, track trends, and monitor sales performance to better serve each of your customers.
E-commerce AI to personalize every shopping experience
Sensefuel's e-commerce-dedicated AI creates immersive shopping journeys that are 100% tailored to each individual and designed to convert. This ensures that you offer every visitor a seamless and pleasant experience that builds loyalty.
The platform hyper-personalizes every step of the purchasing journey in real time. This reduces friction and frustration for consumers while increasing conversions.
E-commerce AI that understands search Intent
Our Deep Learning Commerce Engine continuously studies three distinct data sets to perfect its ability to produce the most individually-relevant search results.
By relentlessly studying your Product Catalog and all its data, your Merchandising Strategy and real time Consumer Behaviors with their ever-evolving trends, the Sensefuel AI strives to perfect your sales performance accordingly.
AI designed to boost your sales
Our AI can also identify the best performing products to offer each of your customers. Our models continuously learn from the commercial performance of each product you sell.
Your "best of the moment" products are automatically placed at the top of your category pages, search results, and product recommendations.
Our commercial deep learning engine also understands the commercial relationships that exist between the products in your catalog, for each of your customers.
This allows you to make hyper-personalized product recommendations based on cross-selling, up-selling, substitution or similarity to increase your conversions, margins and average cart size.
AI that turns product search into a conversation
Back in 2018, we began to harness the potential of “Transformers” (behind the "T" of Chat GPT) in our e-commerce-dedicated AI to deliver relevant search beyond typed words. This anticipation of generative AI's potential enables us to take full advantage of the power of the latest LLMs (Large Language Models) to enhance e-commerce search.
Our AI Sales Assistants guide your customers towards purchase through search turned into conversation.
Our exclusive Deep Learning engine, coupled with the potential of generative AI, enables you to offer innovative shopping experiences that combine demand understanding and business acumen.
Through our AI agents, you'll be able to offer advice, recommend the right products for each context of use, or inform your customers about your products and services....
E-commerce AI supporting every step of the shopping journey
AI that continuously improves your performance
Sensefuel AI uses a three-pronged approach to provide your customers with relevant search results and recommendations that are proven to increase sales performance.
Decode
The Sensefuel AI makes sense of search terms, even if you know nothing about the visitor.
Prioritize
The Sensefuel AI knows which products sell best and offers them to customers as a priority.
Adapt
The Sensefuel AI takes seasonality into account, adjusting its search results and recommendations accordingly.
Deploy your e-commerce AI in no time
Whatever the size of your team, it’s easy to get started and get results, fast.
Sensefuel works out of the box with minimum configuration and no need for an IT project.
Insert the Sensefuel tag
Step 02.
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Start seeing the results
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Contact us!
If you'd like a demonstration of the platform, access to APis documentation or the conditions of our partner program, please use the attached form!
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Discover Sensefuel's other features
e-commerce conversation
Humanize your e-commerce, assist every customer, and maximize your sales with conversational AI.
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e-commerce recommendation
Recommend the right products for each customer's needs, context, and sales strategy throughout the buying process.
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e-commerce browsing
Take your art of merchandising to the next level and control the display of your products on your website pages.
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FAQ About Our AI E-commerce Platform
What is Sensefuel's e-commerce AI, and how does it work?
Sensefuel’s e-commerce AI is a proprietary deep learning technology designed exclusively to address the challenges of online sales. It works by analyzing each user’s behavior and browsing journey in real time (digital body language). From the very first interactions, the AI decodes the visitor’s needs to instantly adjust the relevance of search results, the order in which products are displayed, and personalized recommendations.
What are the differences between Sensefuel's e-commerce AI and a traditional search engine?
A traditional search engine simply compares a string of characters (keywords) with entries in a catalog. Sensefuel’s AI prioritizes understanding intent. It incorporates semantic natural language processing (error tolerance, context understanding, and nuance handling) and hyper-personalizes results in real time, without requiring extensive manual configuration.
What types of data does Sensefuel's e-commerce AI analyze?
Sensefuel's AI analyzes only anonymous behavioral and contextual data:
Search terms.
Clicks, products viewed, and items added to the cart.
Filters applied, categories browsed, and time spent on the page.
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It requires no personally identifiable information and works perfectly from the very first click, even for anonymous visitors or those who have not consented to cookies.
How does Sensefuel use AI to understand visitors' purchase intent?
Sensefuel combines semantic search with dynamic behavior analysis. When a visitor performs a search or interacts with the site, the AI interprets the overall meaning of their actions (e.g., use, style, budget, specific attributes) rather than isolating individual words. It then links this intent to purchasing behaviors observed across the entire site to recommend the items most likely to trigger a purchase.
Does the e-commerce AI algorithm learn automatically?
Yes. Sensefuel’s AI is based on machine learning models. As visitors interact with your catalog, the algorithm continuously refines its understanding of search queries, adapts to changes in inventory, incorporates new arrivals, and identifies seasonal and fashion trends, all without any manual intervention from your teams.
Why does e-commerce AI analyze the browsing context rather than just keywords?
The same keyword can reflect completely different expectations depending on the person or the context (for example, the search term “jacket” will not have the same meaning for a visitor browsing the winter sports section as it does for one browsing the spring fashion section). By analyzing the browsing context and behavioral signals from the session, AI resolves keyword ambiguity and avoids displaying results that are too generic or off-topic.
How does e-commerce AI adjust its results in real time?
Every action taken on the site, such as selecting a filter, viewing a product, or modifying a search, instantly updates the behavioral profile of the active session. The AI will immediately recalculate the ranking of the lists and the selection of recommendations to be displayed upon the next click, ensuring a dynamic shopping experience that responds to the consumer’s changing preferences.