Empowering reliable automated decision making in ECCO with DecisionOps

Speaker: Matthias Als, Lead Data Scientist, ECCO Data & AI

Abstract:

This webinar presents the concept of DecisionOps, a systematic approach for developing and maintaining Operations Research (OR) algorithm software, ensuring transparency and reliability throughout the development process. Utilizing their experiences from ECCO, a global leather goods retailer with a comprehensive supply chain, the speaker describes how ECCO has leveraged this approach to optimize their supply chain operations through the development of the Intelligent Auto Replenishment and Omni-Channel Fulfillment solutions. The webinar provides a walk-through of the DecisionOps development cycle, from the initial research and development stages through to the productionalized solution, and finally, the crucial stage of continuous feedback. Looking ahead, the speaker shares ECCO's future plans for OR projects leveraging DecisionOps. By sharing ECCO's experiences and future plans, this webinar offers inspiration for businesses seeking to enhance their OR algorithm software development processes.

About the speaker:

Matthias Als is a Lead Data Scientist in ECCO. For more than 3 years in ECCO, Matthias has built automated decision systems especially for inventory management problems combining the power of both machine learning and operations research. Matthias holds a MSc degree in computer science from the IT University of Copenhagen. Since April 2024, Matthias is also on the board of the Danish Operations Research Society, DORS.

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