Personalized recommendations based on AI analytics
The system analyses user actions and offers personalised products that may be of interest to them. This increases the average check, conversion, and builds customer loyalty to the brand. AI not only recommends the most popular and relevant products, but also understands which products require additional sales, taking into account the needs of both the business and the customer at the same time.
When you walk into your favourite store where people know you, the salesperson may greet you with the phrase: "By the way, we have a new product that you will definitely like!" And he is often right, because he knows your tastes and preferences. This is a classic example of the personalised approach that experienced consultants provide in offline stores. But how do you transfer this experience online? According to research, about 65% of customers expect personalised offers, and 91% of consumers are more likely to buy from brands that offer relevant recommendations.
Want to turn casual visitors into regular customers? There is a solution. All you need to do is implement a system of personalised recommendations on your website. We will tell you what it is, what benefits it provides, and how to take your business to the next level with the help of personalisation.
What is the Personalised Recommendations system and how does it work?
Before we look at the benefits, let's understand what a modern personalised recommendation system is and what technologies it is based on.
A personalised recommendation system is an intelligent solution that analyses user behaviour on a website, their interests and preferences, and then uses this data to create individualised suggestions. It's like an experienced consultant who knows your tastes, but works around the clock and never forgets your preferences.
Our Personalised Recommendations system uses advanced technology:
- VueStorefront AI - a powerful e-commerce platform with built-in artificial intelligence capabilities.
- Recombee is a specialised tool for creating personalised recommendations that uses machine learning algorithms.
- Google Recommendations AI is a solution from Google that uses deep learning to predict user needs.
The system works in a simple and effective way: algorithms collect data on user behaviour (what products they browse, add to the cart, buy), analyse this data, identify patterns and trends, and then use this information to create personalised recommendations.
The system takes into account not only the interests of users, but also the needs of your business. For example, it can recommend products that are out of stock but could potentially be of interest to a particular user, allowing you to optimise your inventory and increase sales of less popular products.
Benefits of personalised recommendations for your business
Implementing a personalised recommendation system is not just a new feature for your website, but a powerful tool for increasing sales and customer loyalty.
Increase the average check and conversion rate
According to our research, personalised recommendations increase the average check by 25-35% and conversion by 15-20%. It's easy to explain: when a customer sees products that really meet their needs and interests, they are more likely to make a purchase.
For example, if a user is looking for sports shoes, the system can offer them not only sneakers, but also matching socks, sportswear, or accessories that are often purchased with this type of shoe. This increases the chances of additional purchases and increases the total order value.
Balancing warehouse stocks and optimising assortment
One of the unique features of our system is the ability to recommend not only the most popular products, but also those that are overstocked. At the same time, the algorithm does not just try to "push" unpopular products, but analyses which users might really like them based on their behaviour and interests.
This allows you to optimise your warehouse stocks, reduce the amount of illiquid goods, and increase the efficiency of assortment management. According to our data, this approach helps to reduce the volume of unsold goods by 20-30%.
Increase customer loyalty
When customers receive relevant offers that meet their needs, they feel understood and important to the brand. This creates a positive experience with your website and encourages repeat purchases.
According to statistics, customers who receive personalised recommendations are 40% more likely to return for new purchases and 50% more likely to recommend the store to their friends and acquaintances. Thus, personalisation not only increases current sales, but also helps you build long-term relationships with customers.
Why choose digiants.agency to implement personalised recommendations?
Implementing a personalised recommendation system is a complex technical project that requires not only an understanding of technology, but also deep knowledge of behavioural psychology, analytics, and marketing.
The digiants.agency team has many years of experience in developing and implementing personalisation systems for various types of businesses - from small online stores to large marketplaces and e-commerce platforms.
Our approach always starts with a detailed analysis of your business, target audience, and product range. We do not just install an off-the-shelf solution, but create a unique system that takes into account the specifics of your business and the needs of your customers.
Moreover, we do not leave you after the implementation of the system. Our experts constantly monitor the operation of algorithms, analyse the results, and make the necessary adjustments to maximise efficiency. According to our statistics, this approach allows you to achieve ROI (return on investment) of 300-400% within the first 3-6 months of the system's operation.
Ready to boost sales and increase customer loyalty? Contact us today and we'll help you implement a personalised recommendation system that will turn your website into a powerful sales and customer engagement tool.
