Salus is specialised to provide complete distribution, promotion and services for medicinal product or device.The scope was sales forecasting lead to better understanding of patterns of item level. Those data is used to optimize frequency of ordering and ordered quantities.The challenge was the huge number of items and ordering frequencies leading to big complexity. Those complexity leading to frequent stock-outs or to high dead stock. Our developed solution is in charge for creating ordering scheduler handling order times and quantities.
Target Audience: Decision Makers, Data Engineers, Data Scientists and Project Leaders in AI- and BI-projects
Prerequisites: Interested in machine learning-projects and self service BI, understanding in distribtion requirements, logistic processes or retail
Level: Basic
Extended Abstract
The Salus Group is specialised to provide complete distribution, promotion and active sales services as well as value added services necessary for the medicinal product or medical device to be placed on the market it represents a vital link in the supply of medicinal products, dietary supplements, medical devices and high-quality and innovative services, which provide health and well-being of people.
The project scope was the sales forecasting lead to better understanding of patterns on item level. Those data is used to optimize frequency of ordering and ordered quantities.
The Challenges:
The Solution:
The Result:
OmniChannel ist das Zauberwort. Online-Prozesse datengetrieben zu steuern, ist heutzutage Best Practice. Die Schwierigkeit liegt darin, diese mit Offline-Daten zu verknüpfen. Der Vortrag erläutert, wie der CRS dieser Problematik Abhilfe schafft.
Zielpublikum: BI-Projektleiter, Business & Data Analysts, Consultants
Voraussetzungen: Basiswissen
Schwierigkeitsgrad: Anfänger