About Us

Welcome to the Stansidlehour.com, , Stansidlehour.com is a data support tool for your online shopping research about kitchen appliances.

On the internet, there is a lot of information on many websites. Many platforms can provide information for you such as blogs, articles, forums, comments, and many more... The rapid change of information is also a difficult problem for anyone when looking for products. Therefore, they make you take a lot of time, along with fatigue and confusion.

Stansidlehours.com is a type of technology collecting all necessary data to analyze and select products that suit your requirements. This makes finding your product simpler and easier. 

At Stansidlehours.com , our prime experts use Artificial Intelligent (AI) as well as Big Data from the data of famous review newspapers. Besides, we also take data on reputable social networks like TwitterFacebookRedditQuora, and more. In addition, we look for objective reviews through posts on blogs, forums, articles, comments, or reviews.

We also utilize leading technology to help gather all of the information and reviews about products. Then, the results are provided to you with support from AI and Big Data. Therefore, the reviews at ProductUpdates will help you be able to buy the best product.

Our mission is to help you have more exciting online shopping experiences. This technology, along with product reviews from consumers, will help you to keep up to date with all the latest products and prices so that you can choose the product that best suits your needs. Your great experience is just our great happiness. Therefore, we always try to work hard to pursue that mission.

How We Score?

In each comparison table, we all have a score from 0 to 10. Similarly, each article also has a score from 1 star to 5 stars by the readers.

AI Score: The scores from 0 to 10 are automatically scored by our AI Consumer Report tool based upon the data collected. This score has no relationship or impact from any manufacturer or sales agent websites.

We have used some information about images, price, descriptions or features of products from Amazon Product Advertising API, ShareASale, Rakuten...