Contextual Conversation Another unique aspect of ConverSight’s conversational capabilities is the ability to learn and develop context over time. Without context, users need to repeat questions and give context every time. For example, if the procurement leader wants to understand shortages from the East region for last year’s first quarter, the user may want the answer for the same question but for the West region. Athena understands the context and applies it automatically. Users also have options to retain filters and force context. Scalability ConverSight ingests data from multiple sources, both structured and unstructured. These data sources may include transactional data, data lakes, internal product data or external data feeds. The platform is built in such a way that any further addition or changes into the data like vehicle models & variants, sales, forecast, plan changes, supplier & part changes are easily comprehended, making the solution highly flexible and scalable on-the-go with the least possible lag and effort. www.conversight.ai 8