
In today’s logistics market it’s important to state the professional truth: we don’t start from scratch. In most organizations, core systems already exist — ERP, WMS, TMS, procurement systems, BI reports, Excel files, and workflows that have solidified over the years. Therefore, the right discussion about AI in logistics is not ‘whether to replace everything,’ but rather how to add an intelligence layer that generates faster value based on what already exists.
This is precisely the big change of the current era. In recent years, and with particular force in 2025–2026, leading technology vendors are presenting built-in AI within supply chain applications — including smart assistants, agents, and action recommendations within planning, execution, and service processes. The message is clear: the direction of the market is not ‘another system’ but rather a smart addition to existing systems.
Instead of a heavy two-year project, today it’s possible to build a focused value layer: ordering recommendations, anomaly detection, expected shortage analysis, customer prioritization, simple simulations, and clearer work interfaces. This does not eliminate the need for organized systems — quite the contrary. Good AI in logistics relies on a real process, reasonable data, and clear business logic.
Hence the advantage of more agile players in the market. Not necessarily whoever promises a ‘revolution’ will win, but whoever knows how to take a clear business problem — for example, inventory planning, inventory allocation between sites, or identifying at-risk items — and build a precise, fast, and relatively affordable solution for it. This is not a contradiction of existing systems; it is a practical upgrade of them.
In the end, the 2026 customer is less impressed by general promises about AI. They want to know four things: how quickly can we go live, what will it cost, how accurate will it be, and how much organizational headache will it save. Whoever knows how to answer those three questions is speaking the right language for today’s market.

