Trademark Overview
On Thursday, October 31, 2019, a trademark application was filed for COGNITIVE SUPPLY NEXUS with the United States Patent and Trademark Office. The USPTO has given the COGNITIVE SUPPLY NEXUS trademark a serial number of 88675270. The federal status of this trademark filing is ABANDONED - FAILURE TO RESPOND OR LATE RESPONSE as of Monday, August 24, 2020. This trademark is owned by NB Ventures, Inc.. The COGNITIVE SUPPLY NEXUS trademark is filed in the Advertising, Business and Retail Services and Computer & Software Services & Scientific Services categories with the following description:
management services, namely, managing supply chains, inventory, procurement, manufacturing resources, warehouses, logistics, and transportation; management services using artificial intelligence and cloud native enterprise application software including supply chain management and related functionalities, namely, demand and supply planning, inventory management, direct procurement, manufacturing resource planning, warehouse management, logistics and transportation; services for others using AI-native, cloud-native digital supply chain management product, rooted in sophisticated cognitive, analytical and data technologies such as machine-learning, big data analytics and artificial intelligence providing demand and supply planning, inventory management, direct procurement, manufacturing resource planning, warehouse management, and logistics and transportation; procurement services an AI-native, cloud-native digital supply chain management product, rooted in sophisticated cognitive, analy...
Artificial intelligence and cloud native enterprise application software including supply chain management and related functionalities, namely, demand and supply planning, inventory management, direct procurement, manufacturing resource planning, warehouse management, logistics and transportation; an AI-native, cloud-native digital supply chain management product, rooted in sophisticated cognitive, analytical and data technologies such as machine-learning, big data analytics and artificial intelligence providing demand and supply planning, inventory management, direct procurement, manufacturing resource planning, warehouse management, and logistics and transportation