Can you talk to your data?
For Distribution, Supply Chain, Retail and Sales.
Companies use voice and natural language to interact with their data to discover answers and analytics in real-time.
Employees are required to use multiple applications to complete their work. Each application has its own user interface and workflow. Many applications do not seamlessly integrate.
Application interfaces are presented as a step-by-step process to retrieve information, but humans do not think or request information in the exact same steps.
Completing a single workflow such as submitting expenses, requires connecting to multiple systems.
Discover information, insights and reports through voice-to-text and natural language processing (NLP) technologies by simply speaking to Engage.
Provide an application that translates natural language to key actions and verbs which invoke methods in back end systems.
Optimize data models, integrations and key actions based on specific business domains.
Use machine learning to continually increase Engage’s domain vocabulary.
Leverage deep learning to better predict the next action that will be requested by the user.
Increase employee knowledge by enabling employees to retrieve information, insights, and answers in real-time across various enterprise applications - cutting work from 10 steps to 1 step.
Demonstrate the benefits of AI technology across the entire company to create a culture of innovation.
Create more productive meetings by enabling real time reports, metrics, and analytics.
Reduce costs and operational delays associated with cumbersome applications and low adoption.
Reduce resources required for business analytics and reporting related tools.