Oracle has released the latest in groundbreaking logistics capabilities, creating a platform that encompasses the entire global supply chain process. This ensures full accountability and visibility, from ordering through delivery, for better efficiency and more accurate forecasting. It promotes better product and sales performance and increases operational agility by allowing users to quickly connect with carriers and customers without manual effort.

Even more impressive is that these features can be applied across different geographies and industries to maximize scalability and innovation for companies of every size. In doing so, Oracle has created an incredibly useful tool for businesses looking to stay ahead of the ever-changing world of logistics.

There are the new capabilities that stand out from all of the other logistics solution vendors. These features, ETA Predictions based on machine learning and Automated Trade Agreement Qualification, will revolutionize how businesses do their work for decades to come.

Automated Trade Agreement:
‍This qualification refers to the use of technology to automatically determine if a given trade transaction qualifies for a specific trade agreement, such as a free trade agreement (FTA) or a customs union. This can be done by using the Oracle Logistics cloud, which can access and analyze relevant trade data, such as the origin and destination of goods, the type of goods being traded, and the parties involved in the transaction.

The Oracle software can then compare this data against the rules and regulations of the relevant trade agreement and determine if the transaction qualifies for the agreement. This can help companies to quickly and accurately determine if they are eligible for preferential tariffs or other benefits under the agreement, and it can also help customs officials quickly and accurately determine if a given shipment qualifies for the agreement.

Automated trade agreement qualification can help companies save time and reduce costs by streamlining the process of determining trade agreement eligibility, and can also help reduce errors and improve compliance with the trade agreement regulations.

The primary enhancement is deep integration with Bill Of Material (BOM) data.

A bill of materials (BOM) system is a database that contains information about the components, parts, and materials that make up a product. Access to BOM can be used to help with automated trade agreement qualification in a few different ways:

Component origin: BOM system data can be used to determine the origin of the components, parts, and materials that make up a product. This information can be used to determine if a product qualifies for a trade agreement based on the origin of its components.
Tariff classification: BOM system data can be used to determine the tariff classification of a product. This information can be used to determine the applicable tariffs and duty rates for a product and to determine if a product qualifies for a trade agreement based on its tariff classification.
Product characteristics: BOM system data can be used to determine the characteristics of a product, such as its weight, volume, or size. This information can be used to determine if a product qualifies for a trade agreement based on its characteristics.
Production process: BOM system data can be used to determine the production process of a product, such as the country where it was manufactured, the materials and components used, and the production stages. This information can be used to determine if a product qualifies for a trade agreement based on its production process.
Compliance: BOM system data can be used to ensure compliance with trade agreements, such as the rules of origin, tariff classification, product characteristics, and production process. This can help to avoid penalties and fines for non-compliance.
New Oracle Logistics Digital Assistant Capabilities
Oracle voice enhancement users gain insight into the status of their shipments with simple voice commands. With the embedded Logistics Digital Assistant (Chatbot), users can quickly find answers to their questions. The new features of Oracle cloud logistics, now have speaking capabilities that let users interact with them and gain answers to questions via natural language commands.

Users can ask a question like "Where's my shipment?" or "Which orders are in danger of being late?" and the answer will surface via the Digital Assistant,With voice commands, users can interact with chatbots more quickly and easily than ever before. Let’s examine a few of the advantages of using voice commands for chatbots.

1. Increased Accuracy with machine learning in Oracle
   When you use text-based commands to engage with a chatbot, there is always the risk that your message will be misinterpreted or misunderstood due to typos or other errors. With voice commands, however, you don’t have to worry about that because your words are transmitted directly and accurately from your mouth to the chatbot. This means less time spent correcting errors in your messages and more time actually getting things done.

2. Improved Efficiency with Oracle service logistics cloud
   Typing out keyboard commands can be a slow and tedious process – especially if you’re trying to communicate complex ideas or multiple pieces of information at once. Voice commands can make this process much faster since you can speak multiple sentences in the same amount of time it would take you to type them out one by one. This makes it easier and faster for users to get their questions answered without having to wait around while they type out each individual command.

3. Increased Interactivity with Oracle cloud logistics
   Using voice commands also adds an element of interactivity that isn’t present when using keyboard commands alone. For instance, when using voice commands, users can ask questions verbally rather than having to type them out manually – which allows them to engage more closely with the chatbot itself and have more natural conversations with it.

Additionally, some chatbot applications allow users to give verbal responses and feedback as well, further increasing their level of interaction with the system as a whole. Voice commands are an increasingly popular way for users to interact with chatbots due to their increased accuracy, improved efficiency, and increased interactivity compared to traditional text-based methods.

By utilizing this technology in their own applications, businesses can provide customers with a smoother user experience while still getting their questions answered quickly and accurately. If you’re looking for a way to improve customer satisfaction levels while reducing customer service costs at the same time, then investing in voice command technology could be just what you need!

ETA Predictions with Machine Learning:
Machine learning-based tools for predicting ETA (estimated time of arrival) are a revolution in the transportation sector. Oracle SCM Logistics solutions can now be used to predict travel times using real-time traffic information and historic analytics. Companies can leverage this AI capability to help reduce the worry associated with coordinating shipments.

Using sophisticated algorithms, machine learning leverages both past data and current events to calculate an Estimated Time of Arrival (ETA) with remarkable accuracy. Through a deep analysis of vehicle location, speed, events along a route, and numerous other factors, ML-based systems can even anticipate delays and offer estimated times of arrival with greater precision than ever before.

This increases customer satisfaction while enhancing the overall experience by reducing time spent on overcrowded routes and reducing wait times.

Oracle Transportation Management Mobile App:
This can be a game-changing enhancement for the logistics sector. There's no denying how popular mobile apps have become in recent years, and the transportation industry is getting on board. Companies that are into transport services can benefit significantly from managing their fleets, vehicles, drivers, and more in an optimized manner.

With features such as live tracking of shipments, automated driving patterns, and routes, and analytics on resource consumption, a mobile app is capable of providing real-time visibility into operations, ensuring improved efficiency. Additionally, this will enable companies to serve their customers better while keeping their costs under control.

Enhanced Workbenches:
Oracle Transportation Management Enhanced Workbenches offer exceptionally powerful non-stop optimization of transportation decisions. From capacity planning to shipment orders and route execution, these workbenches enable complex transportation capabilities with ease. Companies can benefit from improved workflow processes, greater visibility into daily activities, and faster decision making associated with the Transportation Management System. The highly configurable and intuitive app synchronizes offline app data and allows users to execute tasks efficiently no matter where they are.

With these enhanced workbenches, companies can ensure the compliant delivery of products and solutions that provide their customers with the greatest value for their shipping needs.

Some important terms you might find helpful:

1. Oracle SCM Testing and Oracle Cloud Logistics
   Oracle SCM (Supply Chain Management) and Oracle Cloud Logistics are two essential components of a modern enterprise's supply chain management system. They are designed to help companies optimize their operations, reduce costs, and improve customer satisfaction. The use of machine learning in Oracle solutions enhances the capabilities of these systems, providing more accurate and efficient decision-making processes.

2. Oracle Service Logistics Cloud
   Oracle Service Logistics Cloud is a cloud-based solution that provides a comprehensive set of tools for managing field service operations. It includes features such as work order management, scheduling, and mobile enablement, that allow companies to manage their field service operations in real-time. The use of machine learning in this solution can help companies predict when maintenance is needed, schedule technicians based on real-time data, and automate work order creation.

3. Oracle Transportation Management Cloud
   Oracle Transportation Management Cloud is a cloud-based solution that provides a comprehensive set of tools for managing transportation operations. It includes features such as transportation planning and execution, freight audit and payment, and carrier compliance management. The use of machine learning in this solution can help companies optimize their transportation operations, reduce costs, and improve customer satisfaction by providing more accurate and efficient decision-making processes.

Oracle SCM Testing, Oracle Cloud Logistics, Oracle Service Logistics Cloud, and Oracle Transportation Management Cloud are essential components of a modern enterprise's supply chain management system. The use of machine learning in these solutions enhances their capabilities, providing more accurate and efficient decision-making processes, helping companies optimize their operations, reduce costs, and improve customer satisfaction.