"I was doing my data science work, which is explaining our business, why can't we reach an accuracy of 200% because of the mathematics itself? Then, I received a message from my product manager, which was stating that we are starting a new generative AI project. I thought, that sounds cool. How did they manage to allocate the resources for that, given our limited capacity overall?"
"I have around 10 years of experience in software development, data analytics, machine learning, data science, and AI. I'm currently leading the development of AI solutions at Delivery Hero. Delivery Hero is a global food delivery company with our entities located on 4 continents, in more than 70 countries with almost 50 billion in terms of GMV. Our headquarters is located in Berlin, Germany. Those are some of the brands that you might be familiar with. For instance, Talabat had an IPO last year."
Delivery Hero implemented a generative AI project to create food images for menus, based on the hypothesis that higher-quality menu content increases conversion rates. The project built an MVP, fine-tuned Stable Diffusion models, and scaled deployments while prioritizing safety systems, image quality, optimization, and cost efficiency. Resource allocation constraints required justification of business impact and technical trade-offs. The company operates across more than 70 countries with nearly 50 billion GMV, motivating investment in AI-driven content generation to improve customer conversion and operational scalability across global brands.
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