Beyond just touchscreens: integrated payments & conversational AI
Klemen Pavačič, Product Manager - Direct4.me
The world’s first battery-powered parcel locker with integrated contactless payments eliminates external POS devices - cutting cost, complexity, and failure points. Add conversational AI for a personalized UX that’s accessible by design. Customers deserve smarter, more inclusive experiences. We made it happen.

AI at Your Doorstep
Sebastian Poberschin, Marketing, Acquisition & Growth - Bettermile
Consumer expectations for parcel delivery are rapidly evolving, shaped by industries like food delivery and ride-hailing. Shoppers now expect precise ETAs, fully interactive digital experiences and complete control over their deliveries — from basket to doorstep. In this session, Sebastian will explore how predictive AI and advanced machine learning are powering a new era of high-volume parcel logistics — one built around planability from the moment consumers shop online, real-time visibility when engagement is highest on delivery day and last-minute flexibility as the unboxing moment approaches. Discover how live synchronized last-mile solutions are turning engagement into control and control into faster, more efficient deliveries.

Zero-error sorting - how leading companies are optimising sorting processes with Smart Watch and Put-to-light technology
Carlos Villafane, Regional VP Sales and Channel - NIMMSTA
50% faster sorting, zero errors, and reports and insights - leading companies are achieving exactly that with NIMMSTA Smart Watch and Put-to-light technology. This keynote presents a real-world use case demonstrating how sorting processes can be digitised without compromising speed. Smart Watches and Light Tags guide employees visually and intuitively, reduce training time to a minimum, and provide full transparency through real-time data and reports.

What can AI do for the parcel locker and what can the parcel locker do for AI.
Franziskos Kyriakopoulos, VP Digital Business - KEBA
We discuss which AI Use Cases can be derived from transactional parcel locker, postal and retail data, like demand forecasting, personalized offers, predictive maintenance and optimal locker network planning.