HEINEKEN Brazil Using the Data Factory methodology as a Revenue Generation Center

HEINEKEN Brazil had an ambitious challenge: add business value through the use of data and advanced analytics. So, Artefact joined us to accelerate, and make this happen.

We implement our Data Factory methodology, which are hybrid teams composed of business experts, data scientists and engineers, to deliver a product that is quickly actionable.

The teams are a mix of people from Artefact and HEINEKEN, to help in the Data Driven acculturation which was one of HEINEKEN objectives.

Artefact delivers data products from start to finish, from the business problem prioritization phase and its solution, through data mapping, collection, and exploration, creation of machine learning model and a final product to activate this model.

Finally, we test the solution and industrialize this product for larger scopes. For this, we always rely on agile principles: We start with a reduced scope, to quickly show business value to stakeholders, and developing the solution incrementally.

In this partnership with HEINEKEN we created data products in practically the entire value chain: Such as finance, HR; production; distribution & logistics; marketing and trade, as well as sales and e-commerce.

We had a challenge in the area of ​​planning and logistics related to allocating products in distribution centers and making short-term decisions. The challenge was both extracting the information and creating the intelligence to generate the insight needed daily.

In this way, we developed a stockout prediction model, which consists of the complete automation of data, modeling and creation of a dashboard which generates the necessary insights for our decision making.

We started for a few products and a few distribution centers, but quickly saw the value of the solution and scaled to the rest. Today, this model is one of the main decision-making tools in the area.

HEINEKEN invests heavily in the automation of its factories, and one of the projects with Artefact was to use sensor data, like temperature, pressure and volume, to create a machine learning model that makes adjustments to production, even during the process, ensuring quality metrics, such as, the color of beer.

The interesting thing about this type of project is that the automation and financial gains can be easily scaled to other breweries.

The biggest benefit of this partnership with Artefact is the speed at which we are able to deliver value to the business, and build a revenue generation center for HEINEKEN.

Hybrid teams are able to very well connect the problem with a data solution. For us this is very important, as we were able to prove value and consequently invest more in innovative projects like these.