Personalised Product Recommendations: The Secret Weapon for Higher eCommerce Conversions
The widespread adoption of AI in ecommerce websites and marketplace platforms is not just an add-on; it’s a necessity for retaining customers at scale. Websites are becoming intelligent in identifying what users expect to see. The mechanism behind it is simple. The more products users browse on ecommerce websites, the AI engine will have more data stored in its algorithm to understand what the user wants.
Based on data analysis and context understanding, AI recommends new products that are related to your primary searches. The engine is strong enough to learn from its data and evolve. So the potential of AI is unmatched. Hence, mobile app development agencies are not behind; they create smart apps with AI at their core to allow businesses to provide a seamless experience and engagement to users.
In this blog, we will understand the simple science behind higher ecommerce conversions, which is a result of AI personalisation. Let’s dive in!
How AI is Transforming Ecommerce and Shoppers’ Buying Behaviour
AI today is everywhere.
Not many apps are left which operate without AI at the centre of it.
How, you ask?
Mobile app development companies are quick to adopt AI in their mobile applications and websites to provide a convenient and flexible way of shopping. With over 2 billion online shoppers, it is no surprise that businesses want to create more versatile platforms where they can deliver a user-friendly shopping experience by embedding AI personalisation.
No one wants to spend hours looking for a product on shopping apps, but with AI personalisation, the user searches are much more advanced. This is because AI understands the context, sentiment and intent of the users. Businesses are now relieving customers’ pain points by integrating AI in ecommerce apps so that they can efficiently shop online.
Bottom Line – Personalisation Drives Conversion
AI is automating repetitive tasks and personalising user experience at scale. AI learns from the customer behaviour patterns, like search, clicks and purchase history. AI can respond to real-time actions such as cart abandonment and exit intent by sending personalised offers and messages to the customers. AI is able to predict user preferences from their purchase history and current search behaviour based on which it offers personalised recommendations. VerveLogic, a leading mobile app development company in Chicago, embeds AI in mobile apps to make your customers feel understood and valued. AI enables intelligent interactions on e-commerce mobile apps, which consequently boosts user conversion and enhances customer loyalty.
