The Death of Supply Chain Management
- by 7wData
The supply chain is the heart of a company’s operations. To make the best decisions, managers need access to real-time data about their supply chain, but the limitations of legacy technologies can thwart the goal of end-to-end transparency. However, those days may soon be behind us. New digital technologies that have the potential to take over supply chain management entirely are disrupting traditional ways of working. Within 5-10 years, the supply chain function may be obsolete, replaced by a smoothly running, self-regulating utility that optimally manages end-to-end work flows and requires very little human intervention. With a digital foundation in place, companies can capture, analyze, integrate, easily access, and interpret high quality, real-time data – data that fuels process automation, predictive analytics, Artificial Intelligence, and robotics, the technologies that will soon take over supply chain management.
The supply chain is the heart of a company’s operations. To make the best decisions, managers need access to real-time data about their supply chain, but the limitations of legacy technologies can thwart the goal of end-to-end transparency. However, those days may soon be behind us. New digital technologies that have the potential to take over supply chain management entirely are disrupting traditional ways of working. Within 5-10 years, the supply chain function may be obsolete, replaced by a smoothly running, self-regulating utility that optimally manages end-to-end work flows and requires very little human intervention.
With a digital foundation in place, companies can capture, analyze, integrate, easily access, and interpret high quality, real-time data — data that fuels process automation, predictive analytics, artificial intelligence, and robotics, the technologies that will soon take over supply chain management.
Leading companies are already exploring the possibilities. Many have used robotics or artificial intelligence to digitize and automate labor-intensive, repetitive tasks and processes such as purchasing, invoicing, accounts payable, and parts of customer service. Predictive analytics are helping companies improve demand forecasting, so they can reduce or better manage volatility, increase asset utilization, and provide customer convenience at optimized cost.
Sensor data on machine use and maintenance are helping some manufacturers to better estimate when machines will break down, so downtime is minimized. Blockchains are beginning to revolutionize how parties collaborate in flexible supply networks. Robots are improving productivity and margins in retail warehouses and fulfillment centers. Delivery drones and self-driving vehicles aren’t far off. Rio Tinto, the global mining-and-metals company, is exploring how digital technologies can automate mine-to-port operations. Using driverless trains, robotic operators, cameras, lasers, and tracking sensors, the company will be able to manage the whole supply chain remotely — while improving safety and reducing the need for workers in remote locations.
[Social9_Share class=”s9-widget-wrapper”]
Upcoming Events
From Text to Value: Pairing Text Analytics and Generative AI
21 May 2024
5 PM CET – 6 PM CET
Read More