There aren’t many industries where algorithms have a more direct impact on efficiency, cost and sustainability than in the supply chain sector. Nevertheless, algorithmic innovation is still severely lacking in this area. Currently, factories and warehouses manage most of their processes using slow, inaccurate and siloed heuristics that are shoddily coupled in ancient systems such as SAP.

Many warehouse processes cost more money the shorter the notice becomes to get the job done. Warehouses also capture a myriad of data streams that could be used to predict events before they even happen. But to date, very few warehouses are leveraging effective predictive analytics to improve their operations. Because of this, many supply chain companies often guesstimate (and often overestimate) important capacity orders, such as the number of trucks needed on a particular day. This results in a tremendous monetary and sustainability waste.

During your internship at Optioryx, you would research, brainstorm and implement time-series ML solutions to predict what resources a warehouse will need in the future. We have real-world data to validate performance and PhDs & Kaggle Competition Masters on staff that can help you get up to speed quickly. If you are excited by the idea of making a tangible impact on the efficiency of the global supply chain in a dynamic and early stage startup environment, then we want you!

Website: https://optioryx.com/