Tuesday, January 14, 2025

Navigating chaotic occasions: forecasting amid the pandemic | Weblog | bol.com


A large quantity of knowledge

Initially from Poland, Eryk studied in Rotterdam, took a detour again to his dwelling 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 important expertise, however one the place I used to be carrying many alternative hats. I used to be desperate to significantly give attention to machine studying and I additionally wished to affix a extra mature group. That’s when bol caught my eye.”

Eryk continues: “Apart from the maturity and the dimensions, the chances when it comes to tech and knowledge at bol actually fascinated me. There’s a large quantity of knowledge obtainable right here, principally well-documented, clear and well-maintained. With round 40 million objects reaching tens of millions of individuals in The Netherlands and Belgium, there may be 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 offer you a sensible instance: with this sort of info bol can plan the staffing in our warehouses exactly, even 20 weeks forward.”

Chaotic occasions

Becoming a member of bol within the fall of 2020, Eryk confronted a very difficult interval. He shares: “The pandemic fully disrupted bol´s present forecasting fashions. We may not depend on previous occasions and needed to take care of a brand new scenario with none management or obtainable historic knowledge. It was an attention-grabbing scenario to be a part of and one I had, clearly, by no means skilled earlier than.”

Regardless of the difficult occasions, Eryk realized an important deal. “We organized common brainstorming periods, developed fast fixes, and pursued a long-term answer – all on the identical time. Ultimately, we integrated the impression 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.”

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