Client: a large pharmacy chain. Objective: secondary sales planning system able to manage a large amount of data. Result: a system that supports the entire sales planning process including sales planning for a financial year and for the separate quarters: 1) automation of a complex system requiring approval of several levels of corporate hierarchy; 2) performs automatic prediction based on math algorithms and input sales data; 3) additional services and algorithms purposed for automatic prediction based on different scenarios; 4) high perfomance requirements due to large data manipulation (different math algorithms, sales history, seasons, etc.) and up to 50 users working simultaneously was met by implementing the In-memory DB maximizing the calculation performance.
