The use of artificial intelligence (AI) technology has become a popular way to enhance business performance. AI can automate mundane tasks, freeing up employees to focus on more creative and strategic work. It can also provide accurate and timely data analysis, helping companies make better decisions. Additionally, AI can personalize customer interactions and provide more personalized recommendations and support, leading to increased customer loyalty and a continuous stream of revenue. AI is not a new concept, but the development of artificial neural networks has enabled what is known as “deep learning”.
This has allowed businesses to leverage AI for supply chain analysis, manage alliances during pandemic crises in the B2B context, and achieve success with sustainable development projects through big data analysis and AI capacity. Studies have demonstrated a correlation between artificial intelligence capacity (AIC), management (AIM), driven decision making (AIDDM) and business performance. AI software can analyze massive data sets and return courses of action to the human user. It is not intended to replace human intelligence and innovation, but to support humans in their work. For instance, a hybrid recommendation algorithm for cross-border e-commerce items based on AI and collaborative fusion with multiple views can be used. Many companies have adopted AI technology in an effort to reduce operating costs, increase efficiency, increase revenues and improve the customer experience.
However, it is important to remember that AI should not be seen as a cure-all for all business problems. Organizations should be aware of the hype surrounding AI and ensure that they are using it in a way that will truly benefit their business.
