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Study Project: Predicting Company Revenues Based on Supply Chain Analysis (Part II)

8.3349

Dozenten

Prof. Dr. Gordon Pipa

Beschreibung

Prerequisites: Experience in computer vision, python, finance/logistics, time series analysis, and web scraping/automation is highly appreciated.

By utilizing computer vision techniques and modeling, the goal of this project is to predict auto sales numbers for a certain car manufacturer. We will use Raspberry Pis to monitor the supply chain via rail and try to extrapolate from the numbers generated. Nonlinear models will aid in our efforts to see if this data can generalize to certain company statistics. This will require the generation of a model that replicates the logistics chain, such as capacity and shipping schedules. We hope our model will tell us the percentage of the auto deliveries that our recording data explains. This has implications in supply chain optimization, corporate management, and investing.

Weitere Angaben

Ort: 93/E15
Zeiten: Di. 16:00 - 18:00 (wöchentlich)
Erster Termin: Dienstag, 03.04.2018 16:00 - 18:00
Veranstaltungsart: Studienprojekt (Offizielle Lehrveranstaltungen)