Navigating chaotic instances: forecasting amid the pandemic | Weblog |

A large quantity of knowledge

Initially from Poland, Eryk studied in Rotterdam, took a detour again to his house 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 awesome expertise, however one the place I used to be carrying many various hats. I used to be wanting to notably concentrate on machine studying and I additionally wished to affix a extra mature group. That’s when bol caught my eye.”

Eryk continues: “In addition to the maturity and the scale, the chances by way of tech and information at bol actually fascinated me. There’s a large quantity of knowledge obtainable right here, largely well-documented, clear and well-maintained. With round 40 million objects reaching thousands and thousands of individuals in The Netherlands and Belgium, there may be a lot for me to work with. My job is to translate this information into forecasts for a number of use circumstances, like buyer wants, logistics and merchandise. To offer you a sensible instance: with this type 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 utterly disrupted bol´s current forecasting fashions. We might now not depend on previous occasions and needed to cope with a brand new state of affairs with none management or obtainable historic information. 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 awesome deal. “We organized common brainstorming periods, developed fast fixes, and pursued a long-term answer – all on the identical time. Finally, we included the impression of COVID-19 utilizing a tailored characteristic for our forecasting fashions, which efficiently restored our accuracy ranges. It was a very distinctive time to be a part of, and it made me develop loads as an expert.”

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