In today’s rapidly evolving business landscape, supply chain innovation has become a focal point for many organizations. With the advent of the Fourth Industrial Revolution, technologies such as artificial intelligence (AI) have brought about significant changes in the realm of logistics and distribution.
AI is being applied across various supply chain scenarios, ranging from robotic deliveries in pharmacy operations to manufacturing quality control through sensor data and even the use of virtual reality for employee training. The possibilities that AI offers have opened doors to solving problems that were previously insurmountable.
Challenges in the Supply Chain
Many businesses are facing questions about how to best navigate this technological transformation. It is essential to ask what challenges are keeping supply chain leaders up at night and whether they are adopting AI simply for the sake of it.
According to Gartner, Chief Supply Chain Officers (CSCOs) express concerns about their supply chains’ readiness to tackle upcoming challenges in the coming years. Handling immediate supply chain priorities while simultaneously preparing for the future is a daunting task. Global issues such as the Covid-19 pandemic, geopolitical uncertainties, and logistical delays are beyond a company’s control and pose a threat to the smooth operation of the supply chain.
In the midst of the excitement surrounding AI, it is crucial to adopt a comprehensive, problem-driven approach in supply chain management. To truly understand the business value of new technology, companies should identify a problem they aim to solve or a specific use case they wish to create.
For instance, during the early days of the Covid-19 pandemic, the need to distribute vaccines rapidly and on a large scale presented a significant challenge. The distribution of the Pfizer Covid-19 vaccine posed unique challenges due to stringent temperature requirements. The lack of suitable storage facilities and manpower, coupled with the risk of damage during transportation, made it a formidable logistical issue.
In this case, the problem was well-defined before choosing the appropriate technology. Technology companies like Cisco introduced AI tools for real-time monitoring, alerting, and control of vaccine storage conditions and distribution processes. While disruptions in the supply chain were inevitable, technology ensured the safe and efficient delivery of vaccines, preserving their quality and integrity and ultimately saving countless lives.
AI as an Empowerment Tool
Despite the potential benefits, some businesses remain hesitant to invest in new technology, primarily due to uncertainty regarding the cost-benefit ratio. This hesitation often stems from a lack of understanding regarding AI’s role in supply chain management.
It’s vital to shift the perspective. As Ranjeet Banerjee, CEO of Cold Chain Technologies, notes, supply chain managers are essentially “probability managers.” Ensuring product integrity during long-distance transportation across complex routes involves considering multiple parameters. The optimal solution balances high assurance with minimal cost.
AI opens the door to proactively address these challenges. With supply chain management software and the integration of the Internet of Things (IoT), changes in temperature, light, odor, packaging, and transportation delays can be tracked and converted into meaningful data for managers. With such data, disruptions can be promptly detected and addressed, reducing the risk of goods spoiling in transit.
It’s worth noting that AI doesn’t replace humans; rather, it empowers supply chain professionals. When combined with human expertise in complex planning and strategy development, technology allows for unprecedented synergy. With these new tools at our disposal, we can now tackle problems that were once considered insurmountable, ushering in a new era of supply chain management.
Your source for supply chain report news updates: The Supply Chain Report. For international trade insights and tools, head to ADAMftd.com.
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