Lean Experimentation and Decision Science for Warehouses at Delivery Hero

Date:

Monday, November 18, 2024

Time:

11:50 am

Summary:

An effective picker schedule in warehouses in Quick-Commerce addresses the challenge of resource utilization while maintaining low delivery time. The talk focuses on the challenges in running decision science experiments with humans involved, and embracing learnings by strategizing: How to utilize limited and unclean data caused by stochastic activities and human-error in warehouses? How to draw insights while navigating uncertainties? How to optimize operational decision making processes?

Improving Customer Satisfaction with Automated Anomaly Detection at Just Eat Takeaway.com

Date:

Monday, November 18, 2024

Time:

12:20 pm

Summary:

In this session, we will explore how automated anomaly detection enhances satisfaction and optimizes operations in food delivery apps. Participants will gain insights into the significance of anomalies, the benefits of automating detection processes, and practical strategies derived from the Just Eat Takeaway.com case study. Key takeaways include understanding the importance of automated anomaly detection, learning implementation strategies, and discussing challenges such as data integration, minimizing false positives, and translating anomaly insights into actionable steps for continuous improvement.

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