As an online grocery service, Picnic operates with an entirely end-to-end data-driven approach. Customer orders trigger multiple interconnected data models, including inbound forecasting and personnel scheduling. Introducing automated fulfillment adds a new data layer to our supply chain management. Beyond customer demand and staff availability, machine throughput and capacity must be factored into every data model. Machine efficiency involves more than just fixed numbers; processes like inbound and outbound are interdependent and share the same resources and physical constraints. Join me to learn how to model optimal performance considering customers, machinery, operations, and systems.
Anna is a distinguished business leader and the Project Director of Automated Fulfillment at Picnic Technologies, a rapidly growing online grocery startup. She oversees Europe's largest fully automated B2C food warehouse, driving its success with her extensive expertise. With over a decade of retail leadership experience, from fashion at Zalando to food at Metro, Anna has a proven track record in managing teams across data science, smart logistics, and robotics. This diverse experience underpins her strong acumen in data-driven innovation. In addition to her primary responsibilities, Anna actively supports initiatives that empower women in tech.
