Reduce your workload by implementing eCommerce Merchandising Automation using Natural Language Generation. Our suite will hike your organic traffic. eCommerce Merchandising Automation will reduce your overhead Connecting your product feed or item database will feed our bot with plenty of attributes and features. From those values, it will build and maintain your product descriptions. eCommerce […]
Category Archives: Product Catalog powered by Artificial Intelligence
You will find all our news and informations about Product Catalog Management in this section. We cover all Product oriented artificial intelligence.
Product Catalog Management is Mash’n Learn core business
Our Product Catalog Management uses all the latest innovations on Text Mining. Text mining, also referred to as text data mining, roughly equivalent to text analytics, refers to the process of deriving high-quality information from text.
High-quality information is typically derived through the devising of patterns and trends through means such as statistical pattern learning. Text mining usually involves the process of structuring the input text*, deriving patterns within the structured data, and finally evaluation and interpretation of the output.
‘High quality’ in text mining usually refers to some combination of relevance, novelty, and interestingness. Typical text mining tasks include:
- text categorization,
- text clustering,
- concept/entity extraction,
- production of granular taxonomies,
- sentiment analysis,
- document summarization,
- entity relation modeling (i.e., learning relations between named entities).
* usually parsing. This is used in addition of some derived linguistic features and the removal of others, and subsequent insertion into a database.
Mash’n Learn has been taken along with BHI to improve the Product Categorization and Integration at COLAS, the Engineering company part of Bouygues group. Product Categorization though Machine Learning Rationalizing the Product Catalog through categorization and complete integration can help any large organization to: Control the Costs Rationalize the Sourcing Share information inside the companies more […]
At Mash’n Learn, all our features are built to reduce e-Commerce pain and by Research & Development. WooCommerce Product Categorization by Applying Machine Learning has been inspired by the great work of Sushant Shankar and Irving Lin from the Department of Computer Science at Stanford University. Our Lab developed a set of functions analysing Categories […]
Our WooCommerce Natural Language Generation plugin interact with our server in order to generate Products massive upload (up to 25 thousands products per night for a WooCommerce shop). These Product Descriptions are reworked until they’re fit for SEO and for readability. Lisa and Virginia, the WooCommerce Natural Language Generation bots Our server uses the IBM […]
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 […]
At Mash’n Learn, we integrate Prezzu in our Catalog Automation Suite. Prezzu is a software solution that delivers Predictive Pricing by Machine Learning for online retailers – Pure player or not. We created the WooCommerce Predictive Pricing module based on it. WooCommerce Predictive Pricing to raise your Gross Profit Prezzu automatically adjusts prices on catalogs […]
Our main App features product description copywriting by a Bot. Artificial Intelligence, with the help of IBM Watson, Yoast and Moz, has helped Mash’n Learn to produce one of the helping tool for all e-Commerce Merchants. Product description copywriting is the main task for a Merchant Whatever the industry and the platform, copywriting great contents […]
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This case is about Catalog Machine Learning in the Home & Garden business. The benefits of the Machine Learning Product Listing Advertising are described in this document. About Phytesia With approximately 500k € in annual online revenue, 10 employees, one breeding lab, 3 distribution platforms and 3 transit points, Phytesia is the leading producer and […]
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