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

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.

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

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

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

Allows for automatic identification and tracking of inventory and assets.

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

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

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

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

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

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

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

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

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

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

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

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

Works alongside humans in a shared workspace without the need for safety barriers, improving efficiency and ergonomics.

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

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

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

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.

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

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

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

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