AI in Assortment Management
JOIN EXCLUSIVE WEBINAR
Transform your approach to assortment decisions and move from guesswork to data-driven intelligence. Join our exclusive follow-up webinar, built on proven success with Lorenz Polska, and learn how leading brands are using AI to automate manual processes, identify hidden value, and drive measurable business impact.
What you'll learn
- Real-world AI applications in category management, including price elasticity modeling, store clustering, and advanced demand forecasting.
- Lorenz Polska’s collaboration with DS STREAM enabled their team to focus on strategic growth, not manual reporting.
- Practical tips and tested frameworks for implementing scalable, business driven AI solutions in your own organization.
Who it's for?
- This webinar is uniquely designed for decision-makers who shape the future of retail and FMCG.
- Chief Data & Analytics Officers: Seeking to embed AI into core business processes and drive company-wide data transformation.
- Category Directors & VPs: Responsible for maximizing category performance, portfolio strategy, and ROI, ready to transition from manual reporting to data-driven intelligence.
- C-level Retail & FMCG Executives: Committed to innovating assortment, pricing, and channel strategies to maintain competitive advantage in rapidly evolving markets.
- Leaders in Transformation & Strategy: Focused on scalability, measurable results, and organizational upskilling in AI and analytics..
Bartosz Chojnacki
AI & Cloud Solutnions Leader at DS STREAM. Expert in vector databases, Retrieval-Augmented Generation, and AIOps for automation and IT optimization. Skilled at developing and deploying AI-driven applications with scalable, efficient technologies. Certified Azure AI Engineer Associate with a track record of integrating AI into cloud environments.
Jakub K. Nowak
Data Science & Analytics Leader at DS STREAM with expertise in building impactful analytical products for Fortune 100 clients. Specializes in optimizing retail assortment and advertising spend efficiency through analytics and machine learning solutions.