Practical skills in AI-driven logistics
Sanimud runs hands-on workshops that put participants inside real transport and logistics problems, working with the AI tools that are already reshaping the industry.
What the workshops actually cover
Each session focuses on a specific problem in transport or logistics — route optimisation, demand forecasting, fleet monitoring, or documentation automation. Participants work through structured exercises using real data sets and current AI platforms, not theoretical slides.
The format is remote and self-paced within a defined schedule. Sessions are kept short enough to fit around a working day, with assignments that produce something tangible by the end of each module.
Who this is designed for
Logistics coordinators, supply chain analysts, and operations managers who want to understand what AI tools can realistically do — and where they still fall short. No prior machine learning background is needed.
The workshops are also relevant for business owners managing freight or warehousing, who need enough fluency to evaluate vendor solutions and ask the right questions of their own teams.
The people behind the programme
A small team with working experience in freight, warehouse operations, and applied machine learning. Content is built from field problems, not academic frameworks.
Ostap Kovalenko
Lead Instructor — Logistics Systems
Twelve years in freight forwarding and intermodal coordination before moving into applied AI tooling. Designs the core workshop exercises and data sets.
Daryna Marchuk
Curriculum Lead — Data & Automation
Background in supply chain analytics with focus on demand sensing and warehouse optimisation. Builds the forecasting and automation modules.
Vasyl Petryk
Platform & Participant Experience
Handles the remote delivery infrastructure, assignment review workflow, and the technical support that keeps sessions running without disruption.