01
Too much repetition
To find one useful detail, a shopper reads through dozens of near-identical reviews.
Review summarization that helps shoppers decide
Gravity AI pulls the key points out of reviews and shows who the product fits. Shoppers lean not only on the description, but on the experience of people who already bought it.
The choice problem
When the answer is hard to find, shoppers put the decision off
02
What matters gets lost
Opinions about the product mix with comments on delivery, packaging and store service.
03
Useful answers never reach the shopper
They are missing from the product page and the shortlists, so doubt stays.
A takeaway you can verify
Who the product fits, and why
The summary shows who the product fits, and the quotes show which reviews it rests on.
On the product page and in shortlists
Every answer for the choice, right in your store
On the product page a shopper sees whether the item fits. In the assistant they find alternatives for their request, based on what other buyers report.
01 - Product page
Clears up doubt before the purchase
A shopper sees right away who the product fits, what people value in it and what to keep in mind, without reading dozens of reviews.
An answer to 'Will this work for me?'
Pros and limits in shoppers' own words
02 - Shopping assistant
AI product recommendations that fit
If the first product does not fit, the assistant offers other options for the shopper's job and explains each pick from reviews.
The shopper asks
Looking for a dry skin cream with no strong scent
01
Ceramide moisturizing cream
Shoppers with dry skin often mention long-lasting hydration with no tight feeling.
02
Fragrance-free gel cream
Reviews often call out the light texture and an almost unnoticeable scent.
03
Nourishing repair cream
Works for winter care, though some shoppers find the texture too heavy.
How it works
From raw reviews to a ready takeaway
We load the reviews
We take them as a file or connect to your store system, then match each review to a product.
We find the repeated opinions
We separate views on the product itself from comments on delivery and store service.
We write the short takeaway
We show who the product fits, what people praise it for and which limits come up in reviews.
We refresh on a schedule
Takeaways are rebuilt ahead of time, so the assistant answers the shopper with no extra delay.
Pilot run
You can start with a single category
To scope it, pick the products and set the bar for rating and review count.
Categories or products
We start with one category or a small group of products.
Product rating
We decide which product ratings make it into the pilot run.
Number of reviews
We set the minimum review count that is enough to analyze.
Number of products
We count the matching products and price out the launch.
What the shopper and the store get
For the shopper
An answer without reading dozens of reviews
See whether the product fits their job
See the pros and limits that matter
Check the takeaway against review quotes
For the store
Fewer shoppers leave over an unanswered question
Answers show up right on the product page
If the product misses, the shopper sees alternatives
Buyer experience guides choice in search and shortlists
Frequent questions
What to know before you launch
01
How does Gravity AI summarize product reviews?
The system reads the reviews for a product and writes a short takeaway: who it fits, what people praise it for and what may disappoint. Every point can be backed with shopper quotes.
02
Where does the review summary appear?
The summary sits on the product page next to the rating and the reviews. The same knowledge can feed search, shortlists and the shopping assistant's answers.
03
Can I check what the takeaway is based on?
Yes. Every theme or point can carry quotes from the original reviews.
04
How do reviews help pick products?
The assistant weighs opinions on the traits that matter for a given request and explains why each product made the shortlist.
05
Does the summary replace the reviews themselves?
No. The summary helps find the needed detail faster, while the original reviews stay available for checking.
06
Which products benefit most from this?
Products with a lot of reviews or several criteria that matter at once: beauty, electronics, home appliances, apparel, footwear and pet supplies.
07
Does review analysis slow the assistant down?
No. Reviews are analyzed ahead of time and refreshed on a schedule. During a conversation the assistant uses takeaways that are already built.
08
What does a pilot run need?
You need reviews as a file or a connection to your store system. Then we pick the products, set the selection rules and price out the launch.
We will show how reviews help buyers pick your products
We take a few products and build the answers to the questions that come up before purchase, shown on the product page and in a list of alternatives.