Google Gemini surpasses GPT-4, artificial intelligence has an impact on the logistics industry
12.7, Google released AI model Gemini, which is a "killer" to deal with GPT-4. As soon as it appeared, it achieved many brilliant results. For example, it surpassed human experts in the first large-scale multi-task language understanding evaluation, and achieved 30 current optimal results in 32 multimodal benchmarks, surpassing GPT-4 in almost all directions. The rapid development of artificial intelligence will also have a profound impact on the logistics industry:
1.intelligent decision support
-advanced AI models can process and understand large-scale data, including historical transportation records, real-time traffic information, weather forecasts, etc., which helps logistics companies make more accurate forecasts and plans.
- AIcan provide solutions to complex logistics problems, such as optimizing routes, scheduling resources, and managing inventory.
2.Automatic operation
-Under the control and dispatch of AI, advances in unmanned vehicles and drones can further improve distribution efficiency, reduce labor costs, and provide better services in certain environments (such as severe weather or remote areas).
-automated warehouse system uses robots and AI for picking, packaging and shipping to further improve the efficiency of warehouse operations.
3.Enhanced Customer Service
- AIchatbots can provide 24/7 customer support, answer frequently asked questions, track package status, and handle returns and complaints.
-By analyzing consumer behavior and preferences, AI can help companies provide personalized services and improve customer satisfaction.
4.Risk Management and Compliance
- AIcan monitor potential risks in the supply chain, such as supply disruptions, cargo damage or theft, and provide early warning.
-for cross-border logistics, AI can help companies comply with the regulatory requirements of different countries and regions, and analyze the sudden destination policies, political situation, and the resulting market fluctuations, so as to assist people in making decisions.
5.Environmental Protection
- AI-driven energy management and green logistics strategies can help reduce carbon emissions and achieve sustainable development. Through AI algorithms, cargo can be dynamically allocated so that each vehicle can achieve maximum utilization within its payload range, thereby avoiding ineffective multiple short-haul shipments.
- AIcan help choose the best combination of transport modes, such as rail, sea and road, to reduce overall carbon emissions.
6.Innovative Business Model
- AImay drive new business models, such as just-in-time delivery services based on real-time demand forecasting, or more flexible logistics network design.
In general, AI can help logistics companies improve efficiency, reduce costs, improve safety, and provide better customer service to stand out in a highly competitive market. While applying AI, enterprises also need to consider related challenges, including data security, privacy protection, changes in employment structure, and ensuring that the use of AI technology meets relevant policy requirements.
