Juni is an AI assistant that helps you make sense of the large volumes of operational data.
With its Generative AI capabilities, Juni understands what you need and gives you insightful answers to business questions.
Whether it’s for a status check, a deeper interpretation of a situation, or a recommendation, ask Juni the same way you would ask a ‘senior member‘ of your operations team.
Users can simply ask Juni about orders, high-priority shipments, or at-risk transactions in everyday business language.
Juni can also proactively alert users to time-sensitive issues, such as imminent stock-outs, through Teams.
Just ask Juni
Juni gives you insights about your data in words that you easily understand. Juni has access to the vast repository of operations intelligence and real-time data snippets to evaluate and respond.
It unlocks decision making for the everyday user, without the need to dig into the complex storyboards that are generally left for the select few in the organization. Accelerated decision making helps realize opportunities and mitigate risk in everyday business execution.
Juni evaluates questions, provides answers, with supporting data, graphical visualization, and also creates a dynamic navigation into OpsVeda to further validate the information, and/or trigger action. If you need the analysis regularly, just ask Juni to schedule it for you.
You don’t have to login to OpsVeda to ask Juni about your operations. Juni can be accessed through team collaboration apps like Slack and Microsoft Teams. Quickly find out what items and materials may soon be out-of-stock or check on the status of a purchase order. Ask your questions in regular business language and let Juni sift through the data to get you the right information.
Behind the Scenes
The more you use Juni, the more it learns, and the more reliable it becomes. This is possible because OpsVeda anonymizes and logs everything that Juni is asked. At the same time, OpsVeda’s algorithms and data stewards review the questions along with Juni’s answers to refine them. This curated history becomes the repository for Juni’s training and makes its analysis and answers better over time. Anonymization as well as encryption while invoking Large Language Models ensures data security.