Dynamics 365 F&O Solutions: Order Promising

Order promising helps you reliably promise delivery dates to your customers
Order promising calculates earliest ship and receipt dates based on delivery date control method and transport days

Delivery Date Control Methods

Sales lead time - based on default number of days, doesn't consider stock availability, known demand, or planned supply
ATP (available-to-promise) - includes uncommitted inventory, lead times, planned receipts, and issues
ATP + Issue margin - shipping date equals ATP date plus issue margin for the item
CTP (capable-to-promise) - availability calculated through explosion, not allowed with Planning Optimization
CTP for Planning Optimization - use CTP calculation provided by Planning Optimization

Order promising information is updated only if existing date can't be fulfilled
If current date can't be met, order promising is triggered
If current date can still be fulfilled, order promising isn't triggered and current date remains

ATP quantity calculated using 'cumulative ATP with look-ahead' method
ATP quantity includes uncommitted inventory balance in first period
ATP quantity calculated for each period in which a receipt is scheduled
ATP calculated based on formula ATP = ATP for previous period + Receipts for current period - Issues for current period - Net issue quantity for each future period
ATP quantity always greater than or equal to 0
Negative ATP quantity automatically set to 0

ATP backward demand time fence controls how far back to look for delayed demand orders or inventory issues
ATP backward supply time fence controls how far back to look for delayed supply orders or inventory receipts
ATP delayed demand offset time and ATP delayed supply offset time control when delayed demand or supply considered
Example: 7 entered in ATP backward demand and supply time fence fields, and 1 in ATP delayed demand and supply offset time fields

CTP functionality provides realistic delivery dates based on existing inventory, production capacity, and transportation times.
It considers availability of both materials and capacity, giving a more accurate picture of whether demand can be satisfied within a given time frame.

CTP for Planning Optimization supports a subset of CTP scenarios available in the built-in engine.
For detailed information on using CTP with each engine, refer to the 'Calculate sales order delivery dates using CTP' guide.

Explore delivery alternatives to meet customer demands.
Inventory visibility and on-hand change schedules can help determine the best option.