EXAMPLES OF
APPLICATIONS

BANKING

Advanced machine learning models

The project allows the entity the knowledge of the client and consumer to be able to impact with the message and / or content that best suits their characteristics.

This process is measurable since its conversion, perception and loyalty.

The challenges faced were the large volume of data and the Advanced Models.

GREAT FOOD CONSUMPTION

IoT & Advanced machine learning models

The project allows the creation of value proposals in real time, based on Advanced Analytics on Machine Learning.

The combination of IoT, CRM, Digital assets and initiatives feed a real-time recommendation engine to activate the point of sale through its Assets, Paid Media and others.

RETAIL

Artificial Intelligence – Google Home

Development of Cognitive Assistant based on Google Home and Machine Learning Analytics that allows the creation of an alternative commercial channel, consult information associated with the requested products and use Machine Learning algorithms to identify the most appropriate products for what the customer is looking for.

TELCO

Contact center – Natural Language Processing

Reduce by up to 50% the duration of the first call in contact center through the use of Natural Language processing and artificial intelligence algorithm that allows to analyze the causes of the calls. Respond intelligently and with all the necessary context automatically connecting to different systems to get the answers.

SERVICE COMPANIES

HR – Cognitive Employee Management Assistant

Identify the key profiles that best fit a specific position, through searches with natural language and being able to access internal or external CVs with different types and formats, for example to select a new store manager.

We can also identify the types of profiles available in the organization, as well as identify workers with high potential or keys in an organization.

It attracts talent and accompanies the Human Resources team, identifying the best candidates through the use of artificial intelligence algorithms and Natural Language treatment.

Predict in a unique way who will be the best candidate of the current staff, to occupy a vacant management position, within models of organizations with high needs of unit or store managers.

EXAMPLES OF
APPLICATIONS

BANKING

Advanced machine learning models

The project allows the entity the knowledge of the client and consumer to be able to impact with the message and / or content that best suits their characteristics.

This process is measurable since its conversion, perception and loyalty.

The challenges faced were the large volume of data and the Advanced Models.

GREAT FOOD CONSUMPTION

IoT & Advanced machine learning models

The project allows the creation of value proposals in real time, based on Advanced Analytics on Machine Learning.

The combination of IoT, CRM, Digital assets and initiatives feed a real-time recommendation engine to activate the point of sale through its Assets, Paid Media and others.

RETAIL

Artificial Intelligence – Google Home

Development of Cognitive Assistant based on Google Home and Machine Learning Analytics that allows the creation of an alternative commercial channel, consult information associated with the requested products and use Machine Learning algorithms to identify the most appropriate products for what the customer is looking for.

TELCO

Contact center – Natural Language Processing

Reduce by up to 50% the duration of the first call in contact center through the use of Natural Language processing and artificial intelligence algorithm that allows to analyze the causes of the calls. Respond intelligently and with all the necessary context automatically connecting to different systems to get the answers.

SERVICE COMPANIES

HR – Cognitive Employee Management Assistant

Identify the key profiles that best fit a specific position, through searches with natural language and being able to access internal or external CVs with different types and formats, for example to select a new store manager.

We can also identify the types of profiles available in the organization, as well as identify workers with high potential or keys in an organization.

It attracts talent and accompanies the Human Resources team, identifying the best candidates through the use of artificial intelligence algorithms and Natural Language treatment.

Predict in a unique way who will be the best candidate of the current staff, to occupy a vacant management position, within models of organizations with high needs of unit or store managers.

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