AI Promises vs ecommerce Reality: What It Really Takes to Implement AI
Event format - Expert Talk | Live online discussion
Two industry experts sharing perspectives, debating real challenges, and answering questions from the audience.
Is AI the biggest opportunity in ecommerce — or the most expensive experiment companies are running right now?
Technology providers promise automation and growth.Operators often face integrations, data issues, and teams struggling to make AI actually work.
Join our Expert Talk that brings together two perspectives that rarely meet on the same event — the technology vendor building AI tools and the operator running large-scale ecommerce operations.
Together, they will discuss what actually happens between the promise of AI and its implementation in real business environments, what are the real numbers, where is the win and where is the waste.
What you’ll learn
Why expectations around AI often differ between technology providers and businesses running real eсommerce operations?
What actually blocks AI implementation?
How to start using AI in a way that delivers results?
Is AI delivering real business results — or just promises?
Alex DanchenkoCo-founder & COO of Yespo (Omnichannel CDP), Stripo (email editor)
Alex represents the technology side of AI in eCommerce — platforms that enable personalization, automation, and data-driven customer experiences.
With 13+ years in eCommerce, marketing automation, and AI-driven communication, he helps brands implement scalable systems that increase revenue through retention and personalization.
Speaker at international conferences including MailCon, E-commerce Berlin, and E-Marketing PL.
Dmytro ShapovalovChief Business Architect & Partner, Liki24
Dmytro represents the operator’s perspective — the side responsible for making technology actually work in real business environments.
At Liki24, he focuses on scaling cross-border eCommerce operations across Europe, working at the intersection of marketplaces, supply chains, and AI-driven automation.
His experience provides a practical view of what it takes to implement AI when the challenges include real data, real teams, and real operational constraints.