Current Situation
Workers handling nonroutine problem-solving tasks in collaborative, frontline workflows spend too much time retrieving information, validating processes, and reporting outcomes across person-dependent and enterprise systems.
Goals and Objectives
It provisions workers with AI-guided processes and experiences to optimize their workflow, making use of AR/VR to increase productivity and decrease rework.
Technology Deployed
Cloud, machine learning, text analytics, natural language processing, AI-based computer vision technologies such as AI-enabled image analytics, IoT, AI-enabled knowledge search and retrieval with machine learning and reinforcement learning, intelligent assistants based on generative AI models and cognitive processing such as NLP and NLG, causal reasoning and hypothesis generation, dialogue management, training, social collaboration, digital workspace, and mobile devices and mobile device management (MDM/UEM)
Use Case Summary
Empower workers with AI-assembled or easily assembled information and analytics tools to handle problem-solving tasks in operations, merchandising, marketing, supply chain, and human resources.