An enormous quantity of information
Initially from Poland, Eryk studied in Rotterdam, took a detour again to his residence nation, and as soon as once more returned to the Netherlands. “Earlier than becoming a member of bol, I labored at a Fintech startup. It was an amazing expertise, however one the place I used to be sporting many alternative hats. I used to be desirous to significantly give attention to machine studying and I additionally needed to hitch a extra mature group. That’s when bol caught my eye.”
Eryk continues: “In addition to the maturity and the dimensions, the probabilities by way of tech and knowledge at bol really fascinated me. There’s a large quantity of information out there right here, largely well-documented, clear and well-maintained. With round 40 million objects reaching tens of millions of individuals in The Netherlands and Belgium, there’s a lot for me to work with. My job is to translate this knowledge into forecasts for a number of use instances, like buyer wants, logistics and merchandise. To present you a sensible instance: with this sort of data bol can plan the staffing in our warehouses exactly, even 20 weeks forward.”
Chaotic instances
Becoming a member of bol within the fall of 2020, Eryk confronted a very difficult interval. He shares: “The pandemic fully disrupted bol´s current forecasting fashions. We may not depend on previous occasions and needed to take care of a brand new state of affairs with none management or out there historic knowledge. It was an attention-grabbing state of affairs to be a part of and one I had, clearly, by no means skilled earlier than.”
Regardless of the difficult instances, Eryk realized an amazing deal. “We organized common brainstorming classes, developed fast fixes, and pursued a long-term resolution – all on the similar time. Finally, we included the affect of COVID-19 utilizing a tailored characteristic for our forecasting fashions, which efficiently restored our accuracy ranges. It was a extremely distinctive time to be a part of, and it made me develop loads as knowledgeable.”