Which skills will be in demand, and how professionals can leverage AI to not only stay relevant but thrive in this new era
The power and advancement of artificial intelligence (AI) is fascinating the entire planet. For many, AI is associated with science fiction films where, as a classic example, machines have taken over humans in a futuristic dystopian world. We should certainly not compare reality to fiction in the way of Hollywood!
The variety of applications and impact that AI can have in all sectors and types of industries drives innovation and helps deliver strategic advantages in highly competitive industries. From content creation to market analysis, simultaneous translation and conversational robot, this technology has now become essential in everyday life. From a professional point of view, supply chain is not left behind and also undergoes major changes. However, on the deployment side, AI is much more present in procurement in the private sector than in the public or municipal sector.
AI will enable supply chain professionals to make the best decisions based on predictive data. This data will allow, thanks to algorithms, to assess the risks, impacts and benefits of decisions to be made for any project involving a procurement or logistics process. To help you conceptualize the power of AI in making supply chains intelligent, here are some examples. First, let’s look at the procurement side:
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Automated order processing: Through automation, order processing can help reduce human error and improve operational efficiency.
Cost Optimization: By analyzing real-time data, AI can help identify where to cut unnecessary spending. This translates into efficiency gains that enhance competitiveness in the marketplace.
Proactive needs planning: This predictive approach allows organizations to effectively prepare for peak periods, avoid overloads or staff shortages and maintain an optimal balance between supply and demand of labour.
Disturbance detection and warning: AI has been integrated to analyze price trends in depth from large sets of historical data and real-time market sources. The AI will be able to identify price fluctuation patterns and anticipate future variations with remarkable precision.
Automated analysis of supplier proposals: Using advanced algorithms, the buyer will be able to evaluate suppliers' offers according to pre-defined criteria such as price, delivery times, product quality, and compliance with environmental standards.
In the logistics and transportation sector:
Predictive maintenance: AI will also be used to monitor vehicle performance, predict maintenance needs and reduce downtime. This will allow trucking companies to maximize the use of their vehicles while minimizing unplanned maintenance costs.
AI-powered inventory adjustment: Using AI, you can analyze seasonal trends and patterns of inventory sales to optimize stock levels, promotions, and marketing strategies. This proactive approach helps companies avoid stock shortages during high seasons while minimizing overstocking during low season.
The buyer will see his role and skills evolve due to new technologies. Manual tasks, such as order management or inventory tracking, will be automated using advanced management systems. The role of a buyer will become increasingly strategic and central to organizations, with an increasing importance in managing global risks and implementing sustainable procurement practices.
New technologies, including artificial intelligence, will profoundly transform the supply chain and logistics by making them more agile, efficient and resilient. We can use AI to more accurately anticipate demand, optimize inventory management, automate procurement processes and predict outages before they occur. Organizations that adopt and integrate these new technologies will strengthen their position in the face of competition.
Artificial intelligence has great potential that can have a significant impact on the procurement process of ÎÛÎÛ²ÝÝ®ÊÓƵ University. Discussions are underway with the DataSphere Lab of ÎÛÎÛ²ÝÝ®ÊÓƵ University to work together on initiatives that advance artificial intelligence.
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