We are building the first digital ecosystem of trust for freight and passenger transport, where artificial intelligence matches trips, calculates prices and verifies participants. Our goal is to bring customers, carriers and drivers together in a single secure environment.
Transport logistics often suffers from unscrupulous intermediaries, payment delays and a lack of transparency. Mission Truck Hub — to overcome this chaos through automation powered by AI algorithms and modern digital tools.
We simplify the search for cargo and available transport, guarantee secure payments and build a transparent reputation system for every market participant.
We see Truck Hub as the leading European exchange and digital ecosystem for road transport between Ukraine and EU countries.
This is not just another classifieds board. It is a high-tech complex with built-in trip auctions, online route monitoring, dynamic pricing based on AI models and the SafePay smart guarantee.
Our platform brings every link of the logistics chain together into a single digital organism, where each user gets personalised functionality:
Fast request creation, AI forecasting of the optimal trip price, downward-price auctions, SafePay escrow fund protection.
Smart Backhaul Chaining — AI automatically matches return and passing loads, participation in bidding, and growth of the Trust Score rating.
Voice-based request filing via a Telegram bot (speech recognition + AI parsing), online GPS tracking, quick e-TTN upload and an SOS button.
Guaranteed closing of acts and payouts, automatic AI reputation scoring based on open registers (Opendatabot, Ukrtransbezpeka).
No hidden fees and no grey schemes. Market-driven pricing through auctions.
Full verification of documents and fleets, and legal integrity of every deal.
The Trust Score reputation rating makes it impossible for unscrupulous participants to operate.
Effective tools for both private carriers (sole traders/FOP) and large fleets.
Ongoing rollout of AI algorithms for route optimisation, automatic pricing and the digitalisation of e-TTN.