Problems Our Client Faced
· Generic website with average user experience.
· High bounce rate and cart abandonment rates.
· Missed opportunities for cross-selling products.
An eCommerce brand noticed a high cart abandonment rate. Their website offered a basic shopping experience, and their navigation menu was confusing. The client wanted to offer to solve this issue and increase their conversion rates.
They reached out to us for our AI development services that could analyze user behaviour and offer product recommendations. This helped the client offer a personalized shopping experience to every user and make product discovery effortless.
eCommerce
AI Development Services
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We had to analyze existing data like purchase patterns and user browser history.
Our team built a custom recommendation engine that identified patterns and similarities between users and products
An intuitive design was created by the design team. The AI tools was strategically chosen to maximize visibility without disrupting the user experience.
We set up dashboards to track metrics in real-time. Based on the results, we continued to refine the algorithms and conducted A/B testing to validate the improvements.
· Generic website with average user experience.
· High bounce rate and cart abandonment rates.
· Missed opportunities for cross-selling products.
Adding all the data in the AI system was time-consuming. Information had to be filtered to get accurate results.
Data had to be streamlined to ensure recommendations were updated quickly and accurately.
The AI algorithm had to balance recommendations for products that customers liked and promote new products. We streamlined its reasoning so that every suggestion comes across as personal and fresh.
· 35% increase in conversion rates.
· 25% decrease in cart abandonment rates.
· 45% higher average order value.
