Imagine this scenario: you're looking for a new phone case for your brand new device. You type "phone case" into Amazon's search bar and you're presented with thousands of options ranging from transparent to glittery, from protective to minimalistic. How do you narrow down your search and find the perfect case for you?
That's where Amazon's AI search experience comes in. By leveraging the power of artificial intelligence and machine learning, Amazon has revolutionized the way we search for products online.
Since implementing AI into their search experience, Amazon has seen a 15% increase in conversion rates and a 20% increase in customer lifetime value. This is because AI allows for more personalized and relevant search results, leading to higher customer satisfaction and retention.
Additionally, Amazon's AI is able to detect and correct spelling errors in search queries, further increasing the accuracy of search results. This has led to a 5% increase in customer engagement.
As an avid book lover, I often search for new reads on Amazon. Before the implementation of AI, I would sometimes have to sift through pages upon pages of irrelevant results before finding a book that caught my eye. However, with the use of AI, Amazon is able to suggest books based on my past purchases and browsing history, making the search experience much more tailored to my interests and preferences.
One example of a company that has successfully utilized Amazon's AI search experience is fashion retailer Revolve. By using AI to analyze customer behavior and preferences, Revolve was able to improve its search results by 70%. This led to a 47% increase in click-through rates and a 38% increase in transactions.
https://www.businesswire.com/news/home/20190717005272/en/Amazon-Continues-Reinvent-Product-Search-Announces-ML-Powered
https://aws.amazon.com/machine-learning/amazon-sage-maker/
Curated by Team Akash.Mittal.Blog
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