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To attract and keep customers, you must tap every source of supply to
deliver on time, every time, at the lowest cost. The global order promising
features of Oracle Order Management Cloud can help
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How to fill out global order promising data
How to fill out global order promising data
01
Step 1: Start by gathering all the necessary information for the global order promising data, such as the customer's order details, inventory availability, manufacturing schedule, and logistical constraints.
02
Step 2: Analyze the customer's order requirements and compare them with the available inventory and manufacturing capabilities. Consider factors like lead time, production capacity, and shipping constraints.
03
Step 3: Evaluate the supply chain and identify potential bottlenecks or dependencies that may affect the order fulfillment process. Take into account factors like supplier delivery schedules, transit times, and customs regulations.
04
Step 4: Use a reliable software or system that can automate the global order promising process. This can help in accurately calculating the promised delivery date and tracking the progress of each order.
05
Step 5: Input the gathered information into the software or system, following the required data format and guidelines. Ensure accuracy and consistency in the data entered.
06
Step 6: Monitor and update the global order promising data regularly, especially when there are changes in inventory levels, manufacturing schedules, or logistical constraints.
07
Step 7: Continuously improve the global order promising process by analyzing data, identifying trends or patterns, and implementing strategies to optimize order fulfillment and customer satisfaction.
Who needs global order promising data?
01
Companies involved in international trade and global supply chains need global order promising data.
02
Manufacturers or distributors serving customers in different countries or regions require global order promising data to ensure efficient order fulfillment.
03
Logistics and transportation providers benefit from global order promising data to plan and optimize their operations.
04
Retailers or e-commerce businesses with a global customer base rely on global order promising data to manage customer expectations and ensure timely delivery.
05
Supply chain managers and planners use global order promising data to make informed decisions and balance demand with supply in a global context.
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