News
AI-Based Product Recommendations Boosting E-Commerce Sales

Cross-selling is a technique that comes from traditional offline stores, where the seller encourages the customer to buy additional products that complement their main purchase or meet their other needs. It’s a win-win strategy that not only increases the order value but also enhances customer satisfaction.
With the emergence of AI-based algorithms that can gather information and analyze consumer behavior, cross-selling has become an even bigger sensation. These algorithms can provide personalized suggestions and adapt in a matter of seconds. The businesses implementing this approach have already seen a large increase in their sales and customer satisfaction.
How AI Assists in Cross-Selling
There are several ways in which AI can assist an e-commerce platform with sales and cross-selling. They are all based on constant consumer behavior analytics.
Enhances Personalization
The biggest use of AI is definitely for personalization. By collecting and analyzing massive amounts of consumer data including purchase history, browsing patterns, demographic information, likes, and dislikes, AI algorithms can provide hyper-personalized recommendations for every online buyer. Such suggestions will be tailored to individual customer preferences and can even anticipate the needs the customers didn’t know they had.
Moreover, algorithms help us to address the “choice overload” — an abundance of available products online that often leads to a decrease in customer satisfaction. When you receive personalized picks tailored to your preferences, you don’t have to waste time and energy scrolling through endless items that you don’t need. You can quickly scan through things that you already liked/looked for before/need without even realizing it.
Offers Predictive Analytics
Another feature that will be very beneficial for businesses utilizing AI for cross-selling is predictive analytics. If personalization is more about the customers and their needs, predictive analysis helps e-commerce platforms decide what to sell, anticipate upcoming trends, and predict potential cross-selling opportunities.
Algorithms use sophisticated predictive analytics models to analyze historical data and learn about customer behavior and purchase patterns through the years to obtain insights about future trends. By putting these skills to use, platforms can enhance their relevance among competitors, increase conversion rates, and allocate their resources more effectively without spending the funds on something that won’t be popular among consumers.
Adapts in Real Time
Besides analyzing historical data and identifying trends based on it, AI algorithms can also monitor customer interactions and feedback. You can target not only one specific platform like yours, but also other e-commerce shops, or even the specific brand or product or the type of customer, etc.
By doing so, AI algorithms can help you adjust cross-selling strategies to optimize relevance and effectiveness and suggest only the most relevant products to your customers. Moreover, the monitoring process is constant, so you can adapt and modify your offer almost in real time.
Provides Seamless Integration Across Channels
As marketing becomes omnichannel, we get used to utilizing different devices simultaneously. For example, you saw a clothing ad on Instagram, clicked on it, added the top you liked to the cart, and then decided to check it out from your laptop. Of course, you expect to see this same top waiting in your cart on the desktop version of the website. Moreover, you feel frustrated if it’s not there and start contemplating whether you need it at all.
Here, AI comes in handy as well. It facilitates integration by aligning cross-selling efforts across multiple channels and platforms, delivering a consistent and unified experience for customers regardless of their preferred mode of interaction whether it’s online, offline, or on mobile devices. We, as customers, expect a seamless and cohesive experience across all touchpoints, and AI is a powerful tool to achieve such cohesion.
AI-Powered Cross-Selling Strategies in Practice
Artificial intelligence technology has been around for some time. So, it’s not just theory anymore — we can easily find AI-powered strategies in practical use. Here are some examples.
Jiffsy — First Store Display App With AI Recommendations
AI can be used for different purposes. For example, in Jiffsy — an app working directly with fashion brands — artificial intelligence is utilized to create modern and unique storefronts without the need to use code and know all the intricacies of backend development.
With the help of Jiffsy, each e-commerce platform can create and maintain a mobile-first storefront with AI recommendations. The app uses Jamstack and PWA technologies that can’t be matched by any Shopify theme. Jiffsy features a unique product feed powered by artificial intelligence.
It can provide personalized recommendations for visitors, which are based on their browsing and purchase history. Through this feature, customers can discover new products based on their fashion preferences. Such feeds increase brand engagement, resulting in higher sales.
Alibaba Mobile Apps With Personalized Product Recommendations
One of the first and largest e-commerce players that started using AI was Alibaba Group, which was established in 1999 and includes different businesses including Taobao, AliExpress, Banggood, etc. These apps are famous around the world for the precise work of algorithms, allowing them to offer customers hyper-personalized recommendations.
Alibaba has its own generative AI called Tongyi Qianwen, which is one of the largest and most powerful AIs known. It has been integrated into the Group’s apps to produce marketing materials, create images, and generate action plans, but it can also analyze large quantities of data like consumer demographics and behavior to provide personalized product recommendations. It does it so successfully that it is now the best-known e-commerce titan in the East and is often compared to Amazon.
In a Nutshell
Artificial intelligence is one of the fastest-growing technologies that are shaping our world today. It has many applications, but it is the most known to users thanks to the personalization capabilities it provides. AI algorithms can collect and analyze massive amounts of data and use it to learn about consumer behavior, predict trends, offer personalized recommendations, provide seamless integration between devices, and adapt in real time. It works for businesses by enabling cross-selling and up-selling options, increasing revenue, and boosting customer satisfaction by meeting their needs and offering tailored experiences.
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