| |MARCH 20209The onus is on the stakeholders and the industry's key players- they can make or break the future of AI by deciding how they make use of its data, pattern and simplification of processes the cargo industry becomes equipped with enough knowledge and skill to implement AI and machine learning so that the shipping industry can be absolutely automated and left in the hands of artificially-intelligent machines. Container Tracking With AIAI is already driving automation into the shipping industry. With over 130 million containers being shipped every year, getting 100% accuracy in terms of deliveries can be very challenging. Lost containers have always been a problem for the shipping industry but that is set to change with the arrival of artificial intelligence. Instead of relying on manual tracking and data entries, artificial intelligence makes use of automated tracking features for every container that goes in and out of a shipping facility. All records are cross-checked through automation software to ensure the containers are on track to be delivered to the right locations. Tracking containers as soon as they enter or exit a facility through its identification details reduces the manual effort needed to track these containers. Odds of human error are removed through the use of automated tracking features.AI-enabled tracking tools make use of GPS tracking, OCR or RFID tags for tracking containers. The containers are scanned and their locations are updated across the database to help identify or track containers from anywhere. The automated container scanners correctly identify the OCR number or the container number without needing any human intervention. But again, this implementation can only come into play once the technical literacy of the human force is worked upon and they're educationally equipped for the same.Preventing Cargo Theft Using Artificial Intelligence AI-based security systems are becoming commonplace in shipping companies. All warehousing activities can be monitored using digital access cards and password-enabled container locks. Special locks are available that prevent unauthorized access to the lockers. The threats to cargo vary across organizations depending on the nature of the business and the complexity of the supply chain. AI-powered tools can analyze risks to the supply chain and identify the biggest threats that an organization can come across. Other factors like cost-efficiency of installing specific security measures and cargo safety are also considered. Automatic security audits are also becoming part of automated security systems in shipping companies. AI-enabled systems are capable of assessing existing security measures in place and identifying any flaws in your organization's security system. If any discrepancies are found, you can be alerted in real-time. This includes unauthorized access, lost shipping containers and data manipulation. AI is Shaping Warehousing AI is more than just collecting analyzing information or processing inventory data. AI helps increase efficiency in day-to-day operations and improves profits. AI can automate up to 30% of all warehousing operations and the percentage is set to increase in the future. Systems that make use of AI make work management much easier by allocating resources efficiently. From automated tools that move shipping containers to inventory data management, AI removes the risks of duplicate entries, wrong entries and other human errors that are seen in traditional shipping companies. Transportation is a major part of the shipping industry. Self-driving vehicles within warehouses can bring down logistics expenses drastically. We all know how self-driving cars are set to be the next big thing, but AI-based transportation is already a real thing in the shipping industry. With cargo theft and fictitious pickups becoming commonplace in the industry, using data science and AI to automate pickups and managing container info is of utmost importance. AI and data science is removing the need for human intervention for data entry, improving security and may soon lead to automated shipping using self-driving ships becoming commonplace globally. How soon, though? Nobody can commit. There is still a long way to go before we see AI take full control of this industry, without human intervention. The onus is on the stakeholders and the industry's key players- they can make or break the future of AI by deciding how they make use of its data, pattern and simplification of processes.
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