Forecasting demand at bol.com during the COVID-19 pandemic
The COVID-19 pandemic has affected millions of people around the world and in very different ways. While governments and health organisations seek to find solutions to this global humanitarian crisis, online retailers have been put to the test of how well they can serve their customers’ needs during these challenging times. Being part of bol.com’s Forecasting Team brought these challenges closer to home, and not only because of the working from home situation.
In a series of videos, we would like to showcase how Data Science is helping us at bol, our partners, and our customers.
Hear the way the DS craft is utilized within the company in various parts of the company by the corresponding product teams/owner themselves!
They know best the impact and the improvements of incorporating the discipline in their own products.
Spaces Summit is our annual internal bol. com conference for IT, by IT, and friends: Two fun days of inspiration, knowledge sharing, bragging, and community. This year we had our first digital version of the summit.
Turning to business analytics this episode, we discover it’s a broad field. Business Intelligence hasn't been discussed that much yet in our podcast. So, we are excited to learn more.
In this post, I will explain how bol. com is going to interpret what the user says using Machine Learning and Natural Language Processing.
Historically we have been doing that in multiple ways: by informing the customer on our website, in our app, in our email communication, using our chatbot Billie and in our call center.
Getting organized: cleaning up bol.com with Data Science
Data Science and Machine Learning are becoming more integrated into current businesses. Especially in e-commerce there is huge potential for predictive modeling. It is therefore no surprise that bol.