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After months of large-scale investment in artificial intelligence experiments, the market has begun to scrutinize hard evidence of returns on those outlays. We are now facing two completely different realities. On one hand, marketing or HR departments can only demonstrate a vague “increase in convenience” at work thanks to deployed AI assistants. On the other hand, supply chain and logistics departments, historically overlooked by digital investment, have suddenly begun reporting record profits. The time of reckoning has arrived, as market data clearly confirms. As many as 46%<\/a><\/mark> of operational leaders in the logistics industry are now achieving a breakthrough return on investment, attributing this success to a complete departure from trendy point solutions in favor of unified analytical systems.<\/p> To understand this phenomenon, we need to define a fundamental shift in the very architecture of deployed solutions. Businesses are moving away en masse from so-called Copilot-style assistants, which resemble intelligent interns\u2014they can help write an email or summarize a meeting, but they constantly require human attention, verification and guidance. In 2026, competitive advantage is built on agentic systems. This is autonomous software that is given a specific business objective and carries it out from start to finish, making decisions independently in a closed environment.<\/p> It’s no coincidence that the supply chain and procurement departments have become the biggest beneficiaries of this technology. Logistics involves massive volumes of structured data, where algorithms perform with far greater precision than humans. Instead of speeding up a copywriter’s work by a few minutes, an agentic system can analyze thousands of contracts, identify anomalies in freight rates, and independently negotiate better terms for low-margin orders in a fraction of a second. This is confirmed by the latest research<\/a><\/mark>, which shows that digital leaders in procurement can generate an average 2.8x return on investment by fully delegating spend analysis tasks to autonomous systems.<\/p> Where does the very high profitability of implementations come from, the kind other departments can only dream of? This stems from the fact that hard logistics operations directly impact a company’s fixed costs. Implementing a language model to create internal presentations usually doesn’t let a company reduce headcount or drastically increase revenue\u2014it merely provides convenience.<\/p>The end of Assistants, the era of Agents<\/strong><\/h4>
Where does a 370% return come from?<\/strong><\/h4>