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Personalized product recommendations for your e-commerce site

Increase conversions and average order value by providing relevant, hyper-personalized recommendations throughout the entire shopping journey.

Hyper-personalized product recommendations powered by AI

Product recommendations are often too generic and unsuited to each customer's actual preferences and context.

They ignore essential factors for optimizing their impact, such as available stock, visit and purchase history, and real-time behavior.

Aligning them with business objectives or fine-tuning them for each product category often proves impossible due to their inflexibility and time-consuming nature.

E-Commerce product recommendations to boost your sales performance

  • Increase the number of orders

    Our product recommendations are tailored to each stage of the customer journey. They integrate product availability and performance natively and adapt in real time to the context of each visitor.

    These recommendations significantly increase conversions and average basket size.

  • Reduce the time spent on configuration

    Our AI algorithms save you from the time-consuming process of making adjustments and implementing complex business rules for your product recommendations. AI adapts automatically to each customer and product context while respecting your business objectives.

  • Improves customer experience and loyalty

    Hyper-personalized product recommendations streamline the experience and promote conversion across multiple sessions.

    Our AI algorithms enable you to combine on-site and off-site (emails) recommendation strategies that improve repurchase frequency and customer loyalty.

Product recommendations tailored to your goals

Sensefuel offers multiple AI algorithms to power your product recommendations, including cross-sell, up-sell, and similarity, to help you address your business challenges, whether you are looking to maximize your margins, promote partner brands, or clear inventory.

You can also influence the order in which products are displayed based on your business objectives by applying “boost and bury” techniques.

AI that continuously improves your e-commerce product recommendations

The Sensefuel platform uses AI technology to learn from customer behavior and adapt its predictions to each individual.

Your visitors benefit from hyper-personalized recommendations based on context inferred from their "digital body language."

The AI automatically highlights high-performing products, adapts to trends, considers availability across your product ranges, and applies your business guidelines without any intervention on your part.

Product recommendations throughout the entire shopping journey

You can deploy and adjust your product recommendation strategies independently at any time, whether on your homepage, product pages, landing pages, or even in your emails, without involving your IT team.

The precision of the personalization offered by Sensefuel allows us to respond more effectively to purchase intent, making conversions easier and improving commercial performance.

Conversion manager

Helline 

Gain a better understanding of your customers through product recommendations

Sensefuel dashboards reveal customer intentions and behaviors, identify areas for optimization, underutilized products, and unsuccessful searches.

Gain visibility to refine your sales strategy and get the most out of every customer interaction.

A dashboard designed to optimize your e-commerce product recommendations

Our dedicated back office is designed to increase the productivity, agility, and autonomy of e-merchandisers. You have complete control over each of your recommendations. You can choose AI algorithms, add management rules, determine the display style, and target specific customer segments.

Product recommendations for all retail players

Sensefuel adapts to the unique requirements of each e-commerce sector, driving sales for both B2C and B2B sectors

+28%

increase in search usage rate

Consult

+42%

Increase in search conversion rate over one year

Consult

69%

of sales are generated by search

Consult

A solution compatible with your e-commerce ecosystem

Magento, Salesforce, SAP Hybris, Prestashop, Shopify…

Whatever platform or custom development you are using, Sensefuel is universally compatible and works seamlessly with all languages and technologies without any limitations.

Deploy your product recommendations 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.

  • Import your catalog

    Step 01.

  • Insert the Sensefuel tag

    Step 02.

  • Start seeing the results

    Step 03.

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 search

  • e-commerce conversation

  • e-commerce browsing

Your questions about Sensefuel's product recommendations

What is product recommendation on an e-commerce site?

Product recommendations on an e-commerce site are an e-merchandising tool that dynamically suggests relevant items to shoppers as they browse (product pages, shopping cart, homepage, search results). They are designed to make it easier to explore the catalog, inspire visitors, and guide them toward the items most likely to lead to a purchase.

What are the benefits of an AI-powered product recommendation engine ?

An AI-powered recommendation engine offers decisive business benefits:

- Hyper-personalization : Each visitor receives a tailored selection based on their unique preferences.

- Maximum relevance : AI goes beyond simple, generic statistical rules to suggest the right product at the right time.

- Increased average cart value : Natural promotion of complementary items (cross-selling) or higher-tier products (upselling).

- Higher conversion rates : Reduced search time and a smoother shopping journey.

- Customer loyalty : Improved overall satisfaction through a seamless and engaging shopping experience.

How does Sensefuel use AI to improve product recommendations ?

Sensefuel uses behavioral AI that analyzes each shopper’s digital body language in real time (clicks, filters applied, time spent browsing, categories explored). Rather than relying solely on past purchase history or broad correlations, the AI decodes the immediate intent of the session to deliver recommendations that best align with the shopper’s current needs—even for anonymous visitors who have not consented to cookies.

What results can I expect from Sensefuel's product recommendations ?

Sensefuel's recommendation engines have a measurable impact as soon as they are deployed:

- Sales driven by hyper-personalized recommendations.

- A significant increase in average order value (AOV) through targeted cross-selling.

- Steady growth in revenue per visitor (RPV) and conversion rates throughout the entire purchase journey.

What are the key features of Sensefuel's product recommendation solution ?

The solution includes a comprehensive set of features dedicated to e-merchandising:

- Multi-context predictive algorithms : Similar products, complementary purchases, items frequently purchased together, relevant new arrivals, trends.

- Real-time optimization engine : Takes into account active intent and session behavior.

- E-merchandising control : Ability to apply business rules (prioritizing high-margin items, available inventory, partner brands, or promotions).

- Customizable UX widgets : Seamless and responsive integration into your website’s design.

What is the difference between content-based product recommendations and personalized recommendations ?

Content-based recommendations suggest items with technical characteristics similar to the product being viewed (e.g., “other blue cotton dresses”). Personalized recommendations, on the other hand, take into account the individual’s overall behavior: the AI combines product relevance with the buyer’s inferred style, budget, and preferences to display suggestions that are truly unique and tailored to their session.

In which areas of my e-commerce site can I display product recommendations ?

You can display recommendations across all key touchpoints:

- Home page : Personalized selections and trends as soon as visitors arrive on the site.

- Featured pages/theme pages : Inspirational suggestions and contextualized bestsellers.

- Product pages : Cross-selling and upselling.

- Cart page & “Add to Cart” pop-up : Impulse recommendations to maximize cart value before checkout.

- 404 page : Smart bounce recovery to prevent traffic loss.

How do product recommendations increase the average order value ?

They directly influence the composition of the shopping cart through two mechanisms:

- Cross-selling : Offering accessories or complementary products that are essential to the main item (e.g., batteries for a toy, a matching skincare product for a face cream).

- Up-selling : Highlighting a slightly higher-end or better-equipped alternative that better meets the customer’s detected intent.

How do product recommendations improve the conversion rate ?

By simplifying the product discovery process, recommendations prevent visitors from getting lost in overly extensive catalogs. They help overcome hesitation by offering relevant alternatives if a product isn’t quite right, reduce the number of clicks needed to find the perfect item, and encourage quick purchases.

At what point in the buying journey should product recommendations be displayed ?

At each strategic stage, but with different objectives:

  • Inspiration phase (Homepage/Theme Pages): Promote favorites and discoveries tailored to the user’s profile preferences.

  • Consideration phase (Product page): Offer alternatives within the product line (upsell) and direct product pairings (cross-sell).

  • Decision phase (Shopping cart): Suggest low-priced impulse buys or complementary items for immediate use.

Do product recommendations change in real time based on visitor behavior ?

Yes, absolutely. That’s the power of Sensefuel technology. With every new click, filter applied, or product added to the cart, the AI instantly recalculates the user’s intent profile. The recommendation modules displayed on the next page are immediately updated to reflect the exact evolution of the shopper’s needs as they browse.