Case Study: Leading Fast-Moving Consumer Goods Company boosts market share and outlet penetration with Melon's prescriptive analytics

Leading Fast-Moving Consumer Goods Company - Customer Case Study

Melon supported a leading fast-moving consumer goods company as its long-term technology partner when the customer needed to scale a new big data and machine-learning initiative. The challenge was to augment an already large international development effort and handle complex, high-volume data from many internal and external sources to improve outlet segmentation, assortment, and merchandising.

Melon provided a data engineer to build and prepare data pipelines using Azure Databricks (PySpark), Azure Data Factory, and Azure Data Lake, ingesting and enriching sources such as maps, forecasts, ratings, surveys, and mobile operator statistics. The solution went live, helping the customer predict sales variables more accurately and expand to new markets, with the project designed to support better market share and outlet penetration.