The technology consulting firm Gartner has presented the main technological trends that will shape the evolution of the supply chain by 2025. Key trends include Agentic AI, invisible ambient intelligence, and a connected and augmented workforce, technologies that promise to transform logistics and operational management on a global scale.
According to Christian Titze, Vice President and Head of Research in the supply chain area at Gartner, “this year’s trends highlight the enormous transformative potential of connectivity and intelligence in supply chains, enabling organizations to improve their operational efficiency and adaptability.”
The identified trends respond to two major pillars: leveraging emerging technologies to improve connectivity and employing advanced intelligence tools that drive competitive differentiation and operational efficiency.
Invisible Ambient Intelligence
Thanks to the development of ultra-low-cost sensors and smart tags, invisible ambient intelligence will enable mass and affordable real-time tracking of goods. This advancement is especially relevant for perishable or sensitive products, as it facilitates traceability and compliance with environmental regulations.
Connected and Augmented Workforce (ACWF)
The digitalization of operational processes is key to reducing variability in decision-making and shortening the training times of new employees. ACWF solutions aim to close the existing skills gap in sectors like manufacturing and logistics, increasing productivity through digital tools and standardized procedures.
Multimodal Interfaces
Interfaces that allow interaction via voice, gestures, or touch screens are beginning to be implemented in logistics sectors. These systems facilitate interaction with complex platforms and enhance safety and productivity, especially for drivers and warehouse operators.
Multifunctional Robots
Versatile robotics is gaining prominence in logistics centers. These robots, capable of adapting to different tasks such as sorting, packing, or transporting goods, offer a flexible solution to compensate for labor shortages and streamline processes.
Autonomous Agents of Artificial Intelligence (Agentic AI)
Agentic AI is one of the most disruptive bets. This technology provides virtual agents capable of making decisions autonomously. An example is dynamic inventory management, where these agents adjust stock levels in real-time based on demand forecasts.
Autonomous Data Collection
The use of drones and mobile robots to capture data autonomously will help reduce labor loads and streamline operations like inventory. In large warehouses, drones are already beginning to conduct stock assessments, improving accuracy and reducing times.
Decision Intelligence
The combination of decision models, AI, and advanced analytics will allow companies to understand how decisions are made within their systems and improve them with constant feedback. This will help supply chain managers identify inefficiencies and optimize processes.
Intelligent Simulation
The integration of artificial intelligence and machine learning into traditional simulation models will enable companies to predict scenarios and optimize logistics routes or warehouse designs. This trend will help companies reduce costs and increase their responsiveness to unforeseen events.
Kaitlynn Sommers, Senior Director of Analytics at Gartner, emphasized that “these trends offer multiple strategic avenues for organizations to innovate and thrive in a constantly changing environment. The key is to prioritize technologies that align with the strategic objectives of each business.”
Supply chain leaders will have the opportunity to learn more details about these trends at the upcoming Gartner Supply Chain Symposium/Xpo, which will be held in Orlando from May 5 to 7 and in Barcelona from May 19 to 21, aimed at preparing companies for a future marked by volatility, risk, and disruption.
via: Gartner