Machine learning is a practice where computers use different algorithms to search relationships, patterns and trends. The goal is to learn something new or make predictions about the possible outcome.

E-commerce is digital in nature, and data is being generated on daily basis about the customer’s behavior and purchases as well as the supply of goods and stock management. From this data, it is possible to learn how to increase the customer lifetime value and how to save on business expenses. Web stores that implement machine learning today, will achieve a competitive advantage. The ones that implement machine learning in the future, must do so in order to stay in competition.

STACC helps to get started with machine learning by providing the machine learning feasibility analysis. As a result:

• the quality and deficiencies of the data generated are identified;
• different machine learning models are created and their performance assessed;
• an action plan and budget for the final solution is prepared.

Read also our article “How to get started with machine learning?“.