AI-Powered Business

AI-Powered Business

Use the potential of machine learning models

In the last few years, we have observed a dynamic increase in the use of advanced analytical techniques and machine learning methods in organizations from almost all industries. Numerous reports indicate that the growing interest in the implementation of machine learning techniques in enterprises in the next few years will be exponential. The development of machine learning applications is the result of the transformation of economies whose competitive advantage is knowledge and technology. This progress has led to the emergence of new solutions that have already entered the awareness of our society for good. Machine learning made it possible to create vehicles that move without a driver or intelligent systems that can recognize images or human speech, interpreting it appropriately, which in turn allowed the creation of chat bots. These methods are also popular in other business areas, such as support for production, logistics and marketing processes (e.g. recommendation models).

Machine learning and advanced analytics allow businesses to operationalize and obtain value from data through predictive analytics. They allow to counteract the effects of future negative events or proactively act for the expected facts. The popularity of the described methods is a result of success of various projects, that exceeded expected growth. Organizations can use machine learning methods in almost every area where it is necessary to make a decision, both in expansion cycle (e.g. sales maximization) and in the period of a recession (e.g. cost optimization). Artificial intelligence methods have proven their effectiveness by repeatedly improving the results achieved with the help of business rules.

Benefits
Anticipate customer behavior and counteract the risk of their churn.
Optimize production and logistics processes by demand prediction and anomaly detection.
Manage dynamically prices / discounts of products based on information from your own systems, from the market, and assumed goals (increasing sales, maximizing margins, seasonality, competition prices).
Automate omnichannel campaigns and, at the same time, increase conversion through personalization of the offer.
Maximize customer value - supporting cross-selling and up-selling campaigns with the use of predictive modeling.
Get to know your customers better and build marketing strategies based on segmentation models.
How do we work
We believe that Data Science is a team sport, therefore we always carry out projects together with our partners. The highest priority for us is the quality of the solutions provided and customer satisfaction. We are an organization that follows Agile philosophies, we operate using agile project management methodologies.
Discover & Design

Understanding the business and learning about the business processes. Definition of goals and KPI’s. Solution designing.

Build & Deliver

Construction, testing and implementation of the target MVP solution.

Enable

Training within the client's organization and solution providing. Transfer of good practices and support for the client project.

Evaluate

Evaluation of the solution results and the key metrics of success for the project. Planning the development & optimization of the solution.

Drive

Optimization and development of the delivered solution with new functionalities or integrations. Support in maintaining the tool.

Do you want to find out if machine learning models can bring added value to your organization?

Our Data Scientists will help you assess the potential of use cases, build a business case and support the implementation and monetization of advanced analytics in your company.

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