Consulting business data in natural language

BACKGROUND

A business information management software-based product stores and manages the operational data of the companies’ key processes.

Problem

A company has a tool that captures and classifies Consulting the business data managed by this product is usually complex since technical and programming knowledge is required; unusual skills in a typical end-user profile. For this reason, it is necessary to incorporate the possibility of querying the data in a less technical, more natural way.

Benefit

Through the development of a new module based on the use of NLP techniques, it is possible for users without a technical profile to consult their business data in an extremely simple way.

METHODOLOGY & results

Architecture: Cloud architecture based on AWS services and databases, using RedShift as a data warehouse.

Developing language: Java.

ML techniques: NLP techniques and unsupervised learning algorithms (clustering).

Results: The system incorporates automatic learning capabilities, capable of resolving ambiguities and improving its results through use, managing to resolve more than 90% of correctly formulated queries.

This project was carried out before AI Shepherds’ foundation by its team members.
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