Artificial intelligence is the sum of intelligent technology and human ingenuity applied to the core of a business, in all functions and processes, to address the complex challenges that companies face.
The data created by customers through their interactions and online behavior allow companies to decode the needs, preferences, feelings and complaints of customers and create more personalized experiences and services with business decisions based on Artificial Intelligence data.
Digital technologies, including analysis and Artificial Intelligence, give your company an opportunity that occurs once in a generation to carry out orders of greater magnitude than before. But you will need to create new business models by thoroughly analyzing your customers and business operations to really understand them.
Applying artificial intelligence and data science to business decisions through enterprise data management solutions, we help leading companies to prototype the most desirable products and delivery models and to refine, validate and scale them.
Artificial intelligence has a multitude of business applications, in the areas of customer service; information technology and security, business administration, finance and accounting, human resources, marketing and sales ….
ARTIFICIAL INTELLIGENCE FOR MARKETING AND SALES / MARKETING AUTOMATION.
Machine learning facilitates work and drives the product by collecting data and using it to simplify and improve processes by generating predictions based on work patterns.
The potential that the tools and solutions of Marketing Automation contribute to the marketing and communication strategy of a company is enormous, both in the online channel and in Omnichannel.
Marketing Automation has as its purpose the generation of actions under technological solutions to automate processes of obtaining leads and sales.
A clear methodology ensures compliance with the objectives, marketing automation.
Identify current processes, define their consistency and effectiveness.
Define the appropriate segmentation of data and contacts.
Define the objectives and the appropriate sales funnel model.
Define a workflow of actions and testing.
Define the appropriate solutions (software, applications, etc.) of marketing automation.
Identify and implement personalization models.
Define prediction, reporting and attribution models.
Training to the teams involved and alignment of the Marketing and Commercial teams.