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Allows for automatic identification and tracking of inventory and assets.

Integrates core business processes, often in real-time, using common databases managed by a database management system.

Helps companies plan, execute, and optimize the physical movement of goods.

Offers tools for managing supply chain transactions, managing supplier relationships, and controlling associated business processes.

Controls and administers warehouse operations from the time goods enter a warehouse until they move out.

Tracks inventory levels, orders, sales, and deliveries to prevent product overstock or outages.

Helps manage a company’s interactions with current and potential customers.

Focuses on optimizing the post-contract management of suppliers and the interactions with them.

Predicts customer demand to optimize inventory levels in light of forecasted demand.

Enhances transparency and traceability in the supply chain by securely recording the history of assets and transactions.

Enables data collection and exchange between physical objects and the internet which allows for more agile and dynamic supply chain management.

Improves the efficiency of picking and packaging processes in warehouses through overlaying digital information in a user’s field of view.

Allows for analysis of large and complex data sets to uncover hidden patterns, correlations and other insights for supply chain decision-making.

Enables exchange of business documents in a standard electronic format between business partners.

Provides scalable computing resources over the internet, helping businesses to manage supply chain functions more efficiently within a flexible and accessible framework.

Enables advanced data analytics for forecasting, enhances automation of routine tasks, and improves decision-making capabilities.

Offers an efficient method for stocktaking, surveillance, and in some instances, delivery to customers.

Allows on-demand manufacturing which can potentially reduce the need for warehousing and streamline supply chains.

Self-driving vehicles that can be used to deliver goods and improve safety and efficiency within the supply chain.

Integrates computation, networking, and physical processes to provide advanced automation and monitoring in supply chains.

Streamlines the order processing for businesses and ensures that the inventory, order processing, and fulfillment processes are all aligned.

Uses statistical models and machine learning techniques to predict future outcomes based on historical data, helping supply chains mitigate risks and increase efficiencies.

Assists businesses in modeling, analyzing, and optimizing their supply chain network structures for improved cost efficiency and service levels.

Automate repetitive tasks to speed up supply chain processes and reduce the chances of error, leading to increased efficiency.

Automatically adjusts the price of products in real-time based on demand, market conditions, and inventory levels.

Facilitates online business-to-business purchase and sale of supplies and services.

Gives real-time data about the movement and status of goods from the point of origin to the final destination, improving transparency.

Creates a digital representation of a physical supply chain, enabling simulation, analysis, and control.

Enhances warehouse operations by autonomously transporting materials, thereby reducing manual labor and increasing safety and efficiency.