Amazon is now summarizing reviews via AI. It's long been known that aged products - that have had the time to build up large numbers of reviews - have had an unfair advantage against newer (potentially superior) entrants. There's long been talk limiting the number of reviews shown on the search results page (500+) to reduce these moats. Chad Rubin posited that AI could be used in search on Amazon to better guide consumers towards purchased based on the subtle features they want that maybe aren't captured in a simple search query and simple results list. This could be a step towards reducing review moats and guiding customers towards newer (potentially superior) products that don't have "review moats".
What an interesting time this is. https://www.cnbc.com/2023/04/25/amazon-reviews-are-being-written-by-ai-chatbots.html
On the contrary, this may be deemed unfair by products that have built these "review moats" over the years by consistently delivering on customer expectations, good products and/or services.
The time is near when readers will be looking for somehting written by a real person, something with errors..
It only works provided that a human enters a review based on their experience. A written review encourages another user to write one too. In the long term, auto-generated review summaries might decrease the number of human-written reviews.
No one is going to read that summary haha.
Great innovation! Do you think this will indeed help break the age-based advantage of products with a large number of reviews and push newer ones upfront?
JUST Use AI to cut out the 96% of reviews which are fake. Last 8 things I've bought from Amazon have been high rated junk. It's annoying to me, but it's a disaster for Amazon and the planet to have me return crap.
Very interesting - I wonder if someone's building a Chrome extension that automatically pulls out the most important reviews to read 🤔
Exciting development! The AI-driven review summary might surface the true value of a product beyond the raw review count. It's a leap towards qualitative over quantitative assessment. This will potentially level the playing field, enhancing customer choice and supporting innovative new entrants.
Machine Learning Specialist | AI-powered Miracles 🚀
7moMark - We have some wild stuff we are jamming out on that I aim to have ready by the last week in June. General Summary: 200 million reviews, unsupervised learning, grand scale clusters that will blow people's socks off. 🔥 The reason why we will not be done ten days sooner is because we are building our own platform to display 3D, interactive network graphs that can take a ton of data without becoming one huge mess. Hands down, this is the most powerful data we have ever assembled. I will send some samples your way when we have something worth looking at.