Speaker: Remy Spliet, Erasmus University of Rotterdam

Title: Machine learning techniques for dynamic time slot management in attended home delivery

Abstract: In attended home delivery, someone needs to be home to receive a delivery. This is for instance the case in online grocery shopping, where deliveries do not fit most mailboxes, and might need to be refrigerated on receipt. To facilitate this, it is increasingly common for suppliers to offer a menu of time slots from which the receiver can choose. The delivery will take place during this time slot, e.g., between 10:00 and 11:00. In a joint research project with AH.nl, the largest Dutch e‐grocer, we developed decision support tools to construct this menu dynamically when customers arrive. Challenges arise due to the short response time required of such systems. Machine learning techniques are used to overcome some of these challenges.

Coordinators: Marcel Turkensteen and Ata Jalili Marand