As of early 2026, AI-powered product recommendations work by analysing customer data – browsing history, purchase patterns, demographics, and even real-time behaviour – to predict what each individual is most likely to buy next. This is achieved through sophisticated machine learning algorithms that identify correlations and patterns invisible to traditional marketing methods.
- Predictive Analytics: Current systems include advanced algorithms that forecast future purchases based on past actions.
- Collaborative Filtering: The platform identifies users with similar tastes and recommends items purchased by those users.
- Content-Based Filtering: Recommendations are made based on the attributes of products a customer has previously shown interest in.
- Real-Time Personalisation: Now features the ability to adjust recommendations *during* a browsing session, based on immediate actions.
In 2026, Australian businesses must also consider compliance with updated privacy regulations regarding data usage for personalisation. Platforms like ours ensure adherence to the Privacy Act 2010 and any subsequent amendments, offering features like anonymisation and consent management. Furthermore, Australian consumers increasingly expect a seamless and relevant online experience, making personalised recommendations a key competitive advantage. Optimising for mobile-first experiences is also crucial, given Australia’s high smartphone penetration.
Instead of navigating the complexities of AI implementation, data privacy, and algorithm optimisation, let ROI.com.au handle it all. We can take care of all this for you. Contact our team today to discuss how personalised recommendations can boost your sales and customer loyalty.
