We are training our Mash’n Learn robot to find and meet Google RankBrain: All the e-Commerce Product descriptions are built towards RankBrain algorithm.
What is RankBrain
RankBrain is an algorithm learning artificial intelligence system, the use of which by Google was confirmed on 26 October 2015. This type of AI was part of the fourth revolution that has been delineated at places like Salesforce that. It helps Google to process search results and provide more relevant search results for users. In a 2015 interview, Google commented that RankBrain was the third most important factor in the ranking algorithm along with links and content. If RankBrain sees a word or phrase it isn’t familiar with, the machine can make a guess as to what words or phrases might have a similar meaning and filter the result accordingly, making it more effective at handling never-before-seen search queries. There are over 200 different ranking factors which make up the ranking algorithm, of which their exact functions in the Google algorithm are not fully disclosed. It seems that RankBrain interprets the user searches to find pages that may not have contained the exact words that were used in the user search query. When offline, RankBrain is given batches of past searches and learns by matching search results. Once RankBrain’s results are verified by Google’s team the system is updated and goes live again.
Mash’n Learn Catalog automation seeks RankBrain’s criterias
During our first 3 implementations, we managed to create up to 110 thousands of catalog products and integrate them in WooCommerce and Magento. We reached recently a peak of product descriptions generation at 27 thousands during 4 hours at night. Since our latest releases, Mash’n Learn can fetch data directly from ERP (mainly SAP and JD Edwards) and publish it to advertising platforms as well as GS1 GDSN feeds. Our instances are running on Magento, DemandWare, WooCommerce, Amazon SellerCentral and Prestashop. We also have built integrations to fit built-in inhouse online platforms.
Read our case study on Garden Orchid’s extended catalog
Check out our case study: Case Study mashnlearn-casestudyphytesiauk_01 We would be happy to explain our Mash’n Learn Catalog in Houston in December.
Do you have a large catalog of products? We sure can help you to reduce the overhead!
We can help you automating most of your e-Commerce maintenance tasks. We use Artificial Intelligence to build operating bots. These bots are delivered to increase profit by reducing overhead costs of maintaining a catalog or sourcing of your products You can fill this form to have us to contact you