There are software solutions for transport companies and other market participants that help manage all logistics processes: routes, warehouses, and document workflows. At first, these were traditional algorithm-based IT solutions, but the introduction of AI has significantly expanded their capabilities. Let us look at the main functions and principles of transport software.
| Program | What it automates | How it works |
| TMS (Transportation Management System) | Goods transportation tasks | Analyzes traffic conditions and suggests optimal routes Tracks vehicle location via GPS beacons Controls fuel costs and downtime Automatically assigns cargo to carriers |
| OMS (Order Management System) | Business processes related to orders | Processes incoming orders Distributes orders across warehouses Shows customers the order status Sends information to the TMS to plan delivery |
| WMS (Warehouse Management System) | Warehouse operations | Manages goods movement within the warehouse Optimizes product placement Creates routes for employees Tracks stock levels |
| CRM (Customer Relationship Management) | Customer interactions | Records order history and customer preferences Automatically notifies about delivery status and timing Collects statistics on turnover, profit, and efficiency |
| ERP (Enterprise Resource Planning) | Company resource management | Integrates data from all systems Automatically performs analytics Creates reports on company performance |
| Blockchain platforms | Supply chains | Records cargo data in a secure registry Generates documents (invoices, delivery notes) Protects documents from forgery |
> KT.Team case: a service for selecting transport companies for a marketplace > What was the problem: managers selected transport solutions manually, taking into account many factors such as shipping schedules, warehouse and driver shifts, days off, and more.
As a result, the delivery cost of one order was 20% of its value. > What they wanted to do: create a service that would automatically choose the best transport company for a specific order based on rates, SLA, and other metrics. > What KT.Team did: they created a separate service for logistics specialists that communicates directly with transport companies and passes only the final decision to the marketplace on who will
to deliver the order and which pickup points are available. > Result: the client no longer had to configure logistics manually and received a separate service that analyzes delivery conditions on its own and passes back a ready-made decision for each specific order.