The transformative influence of AI on the transport and logistics sector is significant, but is accompanied by many received ideas that should be combated.
Although AI is an exceptional tool that helps many companies rationalize their operations, reduce their costs and improve their effectiveness, it will take time before the myths it surrounds it disappears – unless we can accelerate the process, because the sector is under pressure. Disinformation on AI leads to a certain resistance which slows down its adoption in logistics, creating a delay compared to other sectors, and preventing the realization of the real advantages it has to offer.
Let us analyze four current myths, and the evidence going against them.
Myth 1: Use the AI to assist transport operations is too expensive and does not cause measurable savings
In reality: like any technological tool, IA -based transport solutions have a certain starting cost. The difference is that they offer fast investment feedback, often visible in a few weeks. By using automation and decision -based decision -making, AI reduces costs and makes all operations more effective.
Proof: companies that use autonomous freight supply solutions (Freight procure) based on AI achieves measurable savings. These are perfectly integrated into existing transport management systems, and can reduce freight costs by more than 10 % while reducing the manual workload by 80 %. An agrifood group said it was able to obtain lower spot rates, while reallocating the resources of its team with higher added tasks.
Myth 2: Integrating AI implies major changes internally
In reality: not necessarily. Over the past five years, the logistics and supply chain sector has undergone many changes. Most AI -based solutions have had time to adapt, and are now designed to integrate into existing systems in order to facilitate their adoption.
The proof: Many companies integrate AI without resolving their existing processes. The aforementioned autonomous freight supply solutions, for example, can connect via APIS, allowing fluid adoption. The “big internal change” in this case would then be that the team would devote less time to simple tasks such as acceptance of offers, and more time to more strategic tasks. In other words, a certain degree of internal change is needed, but it is beneficial, not disruptive.
Myth n ° 3: AI provides little or no added value, and cannot perform essential tasks
In reality: AI is no longer limited to automation. It now actively improves decision -making, helping to optimize purchases, pricing and selection of carriers.
The proof: AI is already proven in the field of logistics. For example, Freight supply solutions based on AI can identify the best transport capacities with the most competitive prices, thereby reducing costs and improving operational efficiency. A logistics company using AI -based tools has seen its transport costs decrease by 7 to 12 % while increasing its degree of automation, allowing its teams to focus on significant negotiations rather than daily transactions.
Myth n ° 4: For sender, integrate AI into logistics operations harms relations with carriers
In reality: it is the opposite. AI strengthens relations with carriers by guaranteeing more transparency, fair prices, and more efficiency. It does not replace human interactions; It strengthens them.
The proof: Many Freight supply platforms based on AI offer transporters instant visibility on available shipments and fair prices. Thanks to features such as immediate purchase options, carriers can accept shipments with confidence. A leader in logistics has noticed that AI allowed its team to save time to build stronger partnerships, instead of being mired in manual negotiations.
AI is an advantage, not a threat
AI -based solutions are not only a new technological trend. Companies that adopt AI already find considerable savings, rationalized operations, and reinforced relations with carriers and their partners.
Rather than fear of AI, it must be truly considered as a tool that completes human expertise, automates routine tasks, and allows teams to focus on the strategic growth of companies.
