Onedot Events

K5 2025

Digitization of article data management: opportunities, strategies and implementation

Retail companies need an efficient, scalable and robust e-commerce system landscape that ensures less manual effort, a higher conversion rate and therefore more sales. How can large e-commerce IT projects be implemented?

Competitive e-commerce automation: product data as the basis for AI applications

Artificial intelligence is the buzzword in e-commerce. Which AI applications are widely used and where is there a need to catch up? We ask Prof. Dr. Darius Zumstein how far e-commerce companies have really come in terms of automation.

DIY Summit 2024 in Rome

Mastering data orchestration: How high-quality data drives sales

E-commerce cannot be successful without a very good customer experience. What role do product and customer data play in this and what data silos do companies need to overcome?

Use of AI in the retail backend: Automatically better, faster and more sensible?

The retail backend is becoming increasingly important. How can the IT infrastructure be prepared for the future and how important is the use of artificial intelligence?

How E/D/E uses automation and AI as a booster for product data onboarding

Since the introduction of Onedot AI, E/D/E has been able to automatically assign 7.8 million characteristic values, sort 4,400 base classes and create around 120,000 products.