Mash’n Learn’s Natural Language Processing bot is used to greatly improve the Retail Product catalog. Our Retail Data Quality NLP suite helps our bots to create the best Catalog Product Descriptions by the thousands in 17 languages.
Retail Data Quality NLP for Product Catalog
Retailers often complain about the lack of manufacturer available data for their products. While it’s available in English, it is commonly missing in French, Dutch, German, you name it…
Indeed, the manufacturers have a hard time providing enriched data to their customers as it takes a lot of Marketing resources to publish and maintain product attributes.
How does Mash’n Lean NLP works?
When starting an AI project with our clients, we first process the existing content through our NLP bot’s scrutiny. Our bot detects all relevant data and store it into its Product Information repository.
When needed, the bot will retrieve data from Product Data providers like GS1, Indix, Icecat, etc.
Once the job of scanning existing content is done, the bot then start mining the web for additionnal informations. These informations enrich the Product Data, preparing the Catalog to get Product Pages automaticaly generated.
Having more data than the competition will allow your Pages to strike the top results on Search-Engines. Our bot will make sure the SEO is Google / Bings compliant by validating it with MOZ SEO.
At Mash’n Learn, we fix your Catalog content with Machine Learning
From Natural Language Generation to Predictive Analysis, Mash’n Learn provides a complete tool suite for the large catalog retailers.
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