Generation of tailored product description information using machine learning

A computing device for generating product description information for a product, comprising:

• a memory storing instructions;
• and
• a processor, communicatively coupled to the memory, and configured to:
• receive, as an input provided by a user, a request to generate the product description information for the product;
• retrieve product data for the product using a product identifier included in the request, the product data including a corresponding product identifier and data describing one or more attributes of the product;
• determine one or more user instructions indicated in the request;
• retrieve one or more contextual datasets curated with information relevant to the product, the one or more contextual datasets including one or more of:
• search engine optimization (SEO) data, brand standards data, industry or organization norms data, and target consumer preferences data;
• generate the product description information for the product by providing the product data, the one or more user instructions, and the one or more contextual datasets as inputs to a data model to cause the data model to output the product description information for the product, wherein the data model is trained using machine learning to generate the product description information in a manner that complies with product description parameters derived from the one or more contextual datasets;
• and
• provide the product description information for display on a user interface of a device or application.

A non-transitory computer-readable medium storing instructions,

• the instructions comprising one or more instructions that, when executed by a processor, cause the processor to:
• receive, as an input provided by a user, a request to generate the product description information for the product;
• retrieve product data for the product using a product identifier included in the request, the product data including a corresponding product identifier and data describing one or more attributes of the product;
• determine one or more user instructions indicated in the request;
• retrieve one or more contextual datasets curated with information relevant to the product, the one or more contextual datasets including one or more of:
• search engine optimization (SEO) data, brand standards data, industry or organization norms data, and target consumer preferences data;
• generate the product description information for the product by providing the product data, the one or more user instructions, and the one or more contextual datasets as inputs to a data model to cause the data model to output the product description information for the product, wherein the data model is trained using machine learning to generate the product description information in a manner that complies with product description parameters derived from the one or more contextual datasets;
• and
• provide the product description information for display on a user interface of a device or application.