To classify and categorize human food and non-food items online, as well as to subclassify and subcategorize human food items into taxonomies, types and cuisines, for enhancing AI enabled online food ordering apps’ performance in ensuring smooth customer navigation through catalogs and correctly identifying customer preferences, placed orders, and delivery requirements.
Project Category
Natural Language Processing (NLP)
Achievement
The categorized datasets are now making AI enabled food apps simplify their customer navigation experience, streamline catalog interfaces, and effectively govern satisfaction rate in end-to-end customer cycle from log-in to selection, purchase, order placement, and exit.