Machine Learning in Online Grocery Shopping

About the Talk

Join us for an insightful evening exploring Machine Learning in Online Grocery Shopping with data science experts from Picnic! Camilla Dal Rio, Senior Analyst on the App team, and Giorgia Tandoi, Data Scientist from the Advanced Analytics and Algorithms team, will take us behind the scenes of a fascinating project where they leverage machine learning to enhance recipe recommendations in Picnic’s app.

Camilla and Giorgia will share their experiences on how machine learning can revolutionize the way customers interact with grocery apps, making personalized recipe suggestions that create a seamless and engaging experience for users. Discover the challenges they face, the strategies they use, and the exciting future they envision for machine learning in the grocery shopping landscape.

After the talk, Picnic will host a dinner where participants can connect directly with the speakers and the Picnic team. This is a perfect opportunity to continue discussions, exchange ideas, and network in a relaxed and informal setting.
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Picnic Technologies

What do you think about this intro shared by our CTO, Daniel Genler – would this be sufficient or would you like some more details about our business model? “At Picnic, we build the technology that powers the transition towards a sustainable food supply chain where we delight customers with more choice, fresher products, and less waste. The team behind this innovation loves to crack hard problems, uses data to explore unbeaten paths, and strives to stay ahead of the curve in this fast-paced industry.”
– Daniel Gebler, CTO

Are there any questions left?

Feel free to reach out to us: events@data-science-club.de