Improve Allocation and Order Promising Using Inventory and Supply Data from All Sources
The powerful algorithms in e2open Allocation and Order Promising find the best use of supply to satisfy demand priorities according to commitments made to customer forecasts, allocations to strategic markets and customers, and previously made promises.
Customers require shorter lead times and have more options than ever
With today’s complex supply chains, order promising is a constant challenge. Unanticipated new orders and supply chain disruptions can interfere with previous promises at any moment. When this occurs, the allocation of on-hand inventory and incoming supply to meet customer demands must be reevaluated—a time-consuming and labor-intensive process. If companies can’t adjust quickly enough, customers become dissatisfied, and their brands gain a reputation for unreliability.
Have full confidence in your fulfillment dates
E2open’s end-to-end approach to allocation and order promising automatically adjusts supply chain allocations according to configurable rules that you set.
Easily establish priorities
Demand classification helps ensure that you don’t unknowingly delay key customer or channel orders.
Make feasible commitments
Order commitments are based on internal and external materials availability as well as transportation and manufacturing capacity.
Create what-if scenarios
You can easily evaluate alternative prioritizations and select the best one based on what-if scenarios.
Set and apply rules
Priority Manager workbench applies rules and ranks demands so the most important orders get fulfilled on time.
Automate order promising
Automated order promising automatically syncs to your business objectives.
Improve customer satisfaction
Identifying customer orders that have been forecasted previously improves the reliability of commitments to customers.
Less expediting
Due to accurate promise dates
Greater customer satisfaction
With reliable promising and fulfilment
More visibility
For identifying bottleneck components