Cloud-based technology
Companies can leverage IT resources like cloud-based technology to optimise internal processes. Using cloud-based computing, businesses can enable real-time communication through all hierarchy levels, access up-to-date information without delay, and streamline various processes like product fabrication, packaging, and shipment. This way, companies can deploy vital resources as needed.
A perfect example is logistics provider Ninja Van,7 which has partnered with Google Cloud to adopt a logistics information solution. The cloud-based technology enabled Ninja Van to keep up with the demand for its logistic services, which have grown three times throughout the pandemic.
Robotics & AI
Businesses can also leverage AI and the Internet of Things (IoT), combined with robotics, to automate manual work and improve efficiency across the supply chain. Such technologies are already being used and developed globally, with the logistics industry benefiting greatly.
Collaborative robots, or cobots, like 6 River Systems’ Chuck8 can set a less strenuous pace for workers, leading in work zones and minimising human movement and physical strain in the warehouse. Cobots can determine an optimal route based on warehouse conditions and the priority of tasks to increase productivity.9 During peak delivery seasons, cobots can also keep up with demand without requiring businesses to hire additional staff.
Meanwhile, drones can assist in managing inventories, removing the need for manual counting. Drones can scan barcodes, record item locations, and even find hard-to-reach items that humans would need fork- or scissor-lifts to get. Though this function is currently undergoing regulations, drones can also complete order deliveries quickly, as demonstrated by Amazon Prime Air.10
Finally, businesses can also look into driverless vehicles, which allow one operator to monitor multiple vehicles and thus complete several deliveries simultaneously, reducing operating costs. Operators may even monitor all vehicles on their phones, ensuring ease and convenience for workers. Uber11 has restarted its self-driving development programme; soon, we might see more driverless trucks on the roads.
Advanced and predictive analytics
With trends and developments constantly changing locally and globally, businesses need to stay current, which may seem difficult, but not when they use advanced and predictive analytics. An application of machine learning, advanced and predictive analytics uses data from IoT, weather patterns, dynamic sales information, and historical data to guide businesses into making sound and profitable decisions.
For example, Lazada Singapore12 utilises their consumers’ data to understand each shopper’s profiles and habits, allowing them to offer better product recommendations and display relevant promotions and ads. Moreover, with advanced and predictive analytics, a business can optimise routes, improve inventory processes, forecast consumer demands, and save costs through predictive maintenance.
Digital twins
A virtual model that reflects a real-world situation, system, or entity, a digital twin is essentially a microcosm of an actual product, process, or system. Using a combination of IoT, AI, and data analytics, a digital twin can represent an end-to-end supply chain from producers and manufacturers to logistic providers and customers.
A digital twin can stay constantly updated to mirror its physical twin, informing businesses of solutions in real-time. Companies can also use digital twins to test changes in the supply chain and confirm their effectiveness before applying them to real-world products and systems.
For years now, multinational company Unilever13 has adapted the digital twin technology, partnering with Microsoft Corp. to build virtual versions of some factories across the globe. They use sensor-equipped machines to collect and analyse data and create digital counterparts that track near-real-time physical conditions. With digital twin technology, Unilever can optimise processes, minimise material waste and cost, and churn out quality-standard products.