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.