Driven by Passion
to Think Ahead
Companies are learning to turn large-scale quantities of data into competitive advantage. Their precise forecasting of market demand, radical customization of services, and entirely new business models demonstrate exploitation of their previously untapped data.
Achieving excellence in logistics involves working collaboratively with others to optimize the flow of physical goods as well as the complex flow of information and financial transactions from the fragmented and competitive nature of the industry. Blockchain can achieve cost savings by powering leaner, more automated, and error-free processes. As well as adding visibility and predictability to supply chain operations.
Opportunities to take advantage of collaborative robots exist throughout the supply chain, including manufacturing and warehousing operations. Implementing robotic systems can improve efficiency, reduce errors, increase safety by relieving humans from dangerous tasks, and reduce machine downtime. Compared to traditional industrial robots, the latest collaborative robots are better suited to high mix, low volume production.
AI applications across the supply chain that can create new value in the form of operational efficiencies, cost savings, and increased customer loyalty. Supply chain planning and optimization, including demand forecasting, are among the key areas in AI.
IoT promises far-reaching payoffs for logistics operators and their business customers and end consumers. These benefits ex-tend across the entire logistics supply chain, including warehousing operations, freight transportation, and last-mile delivery. And they impact areas such as operational efficiency, safety and security, customer experience, and new business models.
AR is vital for the prospective and exact planning and operation of tasks such as delivery and load optimization and is critical to providing higher levels of customer service. AR can be applied in following operations like: Warehousing Operations, Transportation Optimization, Last-mile Delivery & Enhanced Value-added Services.
Machine learning is a process where the computer is designed to learn like a human, without explicit coding. Discovering new patterns in the Logistics data has the potential to transform the business. Leading Logistics service providers are beginning to work on using machine learning to improve business efficiencies. Machine learning is being adopted in Logistics Control Tower operations to provide deeper insights into how every facet of collaboration, logistics and warehouse management can be improved.