Why My E-Shop Needs Product Recommendation Software

The e-commerce industry is more competitive than ever, making attracting and retaining customers challenging. Customers expect personalized shopping experiences that feel effortless and intuitive.

Product recommendation software powered by AI isn’t just a bonus for your e-commerce tech stack. It’s a strategic advantage that dramatically boosts engagement, product discovery, sales, and customer loyalty.

Today, we will explain how a product recommendation software works and how the right solution can unlock measurable revenue growth for your store.

But before we go into detail, let’s start with some basics.

Why is it worth using a product recommendation software?

Using a product recommendation engine can bring many benefits for both customers and businesses.

Here are some key advantages of a product recommender software:

Boost engagement and customer experience

A well-implemented e-commerce recommendation engine ensures shoppers find relevant products in no time, reducing frustration and making their shopping journey seamless. More often than not, this personalized experience will prompt them to fill their shopping carts with more desirable, trending products.

It’s convenient for users because they see personalized product recommendations when they search for items. And what’s great, it might encourage them to keep searching for more. Recommender can also provide suggestions for ideal product bundles. It offers complementary products that match well with customers’ convenience and satisfaction.

Increased conversions

Conversions are actions that move a user closer to becoming a paying customer. Conversions include actions such as signing up for a newsletter, filling out a form, or clicking on a pop-up or product suggestion.

With a reliable recommendation system, conversion rates will likely increase, as it can provide relevant e-commerce product recommendations tailored to each website visitor. You can put a recommendation box wherever you like on your website. And the best part is that it looks like an integral part of your website.

Grow average order value

Aside from showing related offerings a user might want to buy, the recommender system can also help cross-sell between product categories or even upsell to increase the average order value (AOV). Businesses can leverage these strategies to refine product placement, predict demand, and enhance marketing automation.

It makes the entire customer journey effortless and provides insights into how to increase e-commerce revenue.

Enhance customer loyalty

A recommendation system doesn’t just help users discover products; it also fosters customer loyalty in e-commerce. When shopping in your e-shop is intuitive and finding popular items is a breeze, it’s much more likely that your customers will return and buy from you again rather than search for products at a competitor’s store.

Personalization and relevance

Personalization is becoming an increasingly valuable marketing tool for both B2B and B2C marketers. This marketing approach uses customer data and insights to deliver an outstanding user experience.

One effective method for enhancing personalization is collaborative filtering, which analyzes user behavior and preferences to recommend products or services that resonate with each customer.

The more personalization you provide, the happier your customers are. And who doesn’t like tailored solutions?

Reduce cart abandonment rates

Cart abandonment rate is the percentage of visitors who add items to their shopping cart but leave without making a purchase. When this rate is high, some areas need a bit of tweaking because you might be losing a significant portion of your potential customer base.

Luckily, you can take some steps to recognize the issues and fix them. The most common e-commerce mistakes that lead to high cart abandonment include a complicated checkout process, an unintuitive user interface, products that are too hard to find, and high shipping costs.

Stop shoppers from leaving too soon

High bounce rates? It may mean users cannot find what they are looking for on your website and leave without engaging with it.

The solution to high bounce rates is very similar to that for cart abandonment. Just like with cart abandonment, implementing recommendation boxes might be a good idea if this rate is high, as it can immediately present your visitors with relevant product options.

The reason recommendations are so effective is that they don’t give your new visitors many chances to miss out on relevant products from the start. The recommendations work even without previous browsing data, so there will always be something to discover. They will draw visitors’ attention and encourage them to keep browsing. As a result, bounce rates will be lower.

Streamline customer journey

If you have many items in your catalog, it may be a bit harder for website visitors to browse for appealing products. And it is when a recommender comes in handy. Going through all the product pages that are not in the customers’ interest might be tiresome.

Luigi’s Box research shows that nearly 90 percent of shoppers focus only on products shown on the first page of results, underscoring the importance of visibility and relevance.

So that’s why your online store needs a little helper.

Since recommendations can be placed almost anywhere, including product lists and search bars, they make it super easy to streamline the customer journey. It will reduce irrelevant products and make browsing for items efficient. On top of that, navigating your site is more streamlined, saving your customers time and increasing customer satisfaction.

Actionable data that drives smarter decisions

It’s worth checking whether the product recommendation tool for online stores also provides a reliable analytical tool. When you have access to in-depth e-commerce data analytics, results are automatically measured, and you’re provided with accurate information. All the insights are valuable when optimizing your e-commerce website, as you can adjust each part of the user experience, including the recommendations.

Data, such as pricing or product discounts, is also critical when making business decisions. Plus, the insight will give you a clearer picture of your customer profiles and preferences, allowing you to target specific groups more effectively or focus on promoting products that people are most interested in.

Simply put, analytics and insights can help you max out your earning potential and provide a better experience in the long run.

Lower your marketing costs

Learning to manage your finances wisely is essential for marketing, as there is nothing easier than blowing your budget right out of the gate. While traditional marketing methods can be effective in certain situations, they often cost more than implementing a recommendation system. As already mentioned, the system uses algorithms and technologies such as machine learning to target the right visitors, whereas traditional marketing largely relies on the expertise of experts.

Rest assured, personalized recommendations are displayed to your shoppers because the algorithms learn and adapt over time. This means that the recommendation system continually works to deliver optimal results without errors.

How to choose the best recommendation tool?

Product recommender systems are fantastic tools to use. However, before you invest any money, double-check if the solution is the best fit for your business. Start by identifying the features and benefits your recommendation engine should provide to ensure that your investment is worthwhile.

These are the most important factors worth thinking over. Let’s have a look at the list 👇🏻

Features and functionalities

First, think about your needs and what you want the platform to do for you. Knowing your preferences and needs is essential. Then, you will be able to reject the options that do not satisfy your criteria.

Want to increase revenue, reduce no-result searches, or improve customer shopping experience? Take a moment to decide on your priorities, as many solutions may focus on a particular issue and cannot serve as all-around solutions.

Then, get familiar with the features and benefits that the software offers. Choosing a system with unhelpful features is a waste of money. Remember that less is more, but you might also consider choosing a solution that scales up if needed. The best bet is software that uses a pay-for-what-you-use pricing system. Also, check whether the system offers advanced AI-product recommendations, advanced filtering, and integration with your existing online store.

Choosing the right tool might be daunting, but it’s worth the effort.

Relying on the users’ reviews on trustworthy software review sites is a good idea as well. Users’ opinions might indicate whether the tool is worth taking a chance on and what benefits it offers your business.

Integration with e-commerce platforms

Integrations make it easy to implement the solution in a matter of seconds. But first, check if the software connects with the e-commerce platform of your choice. This is how you can save time without worrying that something goes wrong.

Check the plugin list and determine how the integration process works when there are no native integrations. Many of these software solutions even offer multiple integration options, such as API, no-code, low-code, or plugin integration. Consider which option is best for your situation, and ideally choose a solution that integrates with popular platforms like Shopify, Magento, or BigCommerce. The best tools provide seamless integration without requiring significant development effort.

Customer support

Good customer support might seem like an afterthought, but it’s one of the best services a product recommendation software can offer for any business. When you are going through the reviews, look at users’ opinions of the customer care team. Did the user easily resolve the issue with the customer care team, or did they feel neglected? The option to write to the support department is invaluable, especially if it’s the first time you use recommendation engines, but it’s also important to consider the quality of said support.

A good customer support team will be ready to help you, provide assistance, or even answer any questions you might have about the software. A responsive customer support team signals that customers are the priority and the company doesn’t take them for granted.

Costs and your budget

One of the first steps is estimating how much you can spend on the recommender system, whether you want to build your own solution or choose a third-party solution. Remember that investing in it pays off by helping you generate more income, but you don’t want to overpay for a solution that will flood you with features you will never use. Simple is often better.

Take a look at the pricing plans of the tools you are considering, or use the cost comparison calculator. Maybe there’s a solution that offers more advanced features and whose price doesn’t differ much? But, again, research is the key, and it might take a while. But we’ve already done it, so you don’t have to!

Here are some reviews of recommender softwares:

• Elasticsearch
• Attraqt
• Unbxd

But our top pick is…

Luigi’s Box – excellent product recommendation tool

Luigi’s Box is a set of tools for e-commerce that helps businesses to improve their site’s search & discovery functionality. Thanks to many AI-powered product tools and features like Search, Product Listing, Recommender, Dynamic Filters, and Analytics, companies can provide their customers with the best shopping experience.

Take a look at what makes Luigi’s Box a popular choice among online businesses.

Features and tools overview

Find out what Luigi’s Box can offer to your e-commerce business and what kind of benefits it can bring to your revenue and e-shop popularity.

Recommender

One of the main tools of Luigi’s Box is Recommender. It displays highly personalized product suggestions. It is because of Artificial Intelligence technology. It analyses users’ online behavior and uses the data to provide the best possible recommendations for popular products (and not only). The Recommender can increase customer interest and engagement by recommending popular products. This can result in higher average shopping cart value, more conversions, and improved sales.

Visual Recommendations

The Recommender goes beyond merely displaying product names and descriptions. It provides a visual showcase for your online visitors. Including a high-quality product image on the product detail page makes it more enticing for customers to click and view the items. Visual recommendations engage users far more effectively than plain text, sparking greater curiosity.

Search

The Search tool comes equipped with unique features that are powered by artificial intelligence. Compared to standard search engines, it can significantly increase customer engagement by addressing many of the issues associated with product search. For example, features like voice search or typo correction make it significantly easier for shoppers to find what they need without getting a “no results found” page.

The Search ensures a seamless experience on your website, saving users time and reducing frustration. As users type, the search bar suggests relevant products, making the experience not only convenient but also easier to discover new items.

Analytics

Measuring the results might lead to beneficial outcomes. For example, Luigi’s Box Analytics can catch problematic search terms that return no results. That’s not all, you can precisely track everything that’s happening with each of the tools at your disposal. Track clicks, impressions, conversions, sales, and much more for Search, Recommender, and Product Listing features.

Using this analytic tool, you might get the answer to questions like:

• Are the top queries performing well?
• Are their results in an optimal order?
• How are the products found most often?

and more!

Moreover, with Recommender Analytics, you can see trends (products that are becoming more popular). You can create an effective recommendation strategy and send out successful email campaigns based on this information.

Product Listing

Intelligent product recommendations and item listing are a great combo.

You deliver targeted offerings to your customers and suggest products tailored to their interests. And then, using Luigi’s Box Product Listing, users can see them all organized and clearly displayed. The product filters are dynamic, meaning they automatically select only relevant filtering options for each product category. For example, the laptop category will offer relevant options such as screen sizes, memory sizes, storage sizes, or graphics card options.

Integrations

Luigi’s Box integrates with many e-commerce platforms. It is good news because the implementation takes only a moment.

The platform integrates BigCommerce, WordPress, Shopify, PrestaShop, and more. However, if you can’t find your platform on the list, don’t worry. It is possible to connect with ANY platform using a no-code, self-service integration. Luigi’s Box team can help you with it as well.

Conclusion

Wrapping everything up, the reason why your e-shop needs product recommendation software comes down to one thing: relevance at scale.

Customers expect fast, intuitive, and personalized experiences. Therefore, listing the right products at the right time is no longer optional. AI-powered recommendations help shoppers discover what they’re most likely to buy without friction, while you benefit from increased conversion rates, higher average order value, and lower cart abandonment.

If your goal is sustainable growth and stronger e-commerce customer loyalty, product recommendation software is not just an enhancement to your e-shop, but a strategic investment.

Frequently asked questions