Managing promising

As a business user, you can manage carriers, carrier services, promising rules, transfer rules, and promising configurations.

Creating transfer rules in Order Hub
You can create transfer rules to set up automatic node-to-node transfers.
Creating and deleting transfer rules by using APIs
Creating transfer rules helps to transfer the inventory from one node to another node. When an inventory is not available at a node, transfer rules can be created to transfer the inventory from a sourcing node to a fulfillment node to fulfill an order.
Managing Promising rules
Create Promising rules to improve estimated delivery date calculations for orders that meet a specific criteria.
Testing promising configurations
Use the Estimated delivery date simulator in Order Hub to run a single-SKU order to see the earliest date that an item can be delivered to a specified destination. With this feature, you can evaluate the fastest delivery options based on rules for availability and capacity. For example, you can see what is the quickest delivery option for a specific SKU before a planned sale. You can also test by order date and time and delivery address for a specified shipping group.
Scenario: Troubleshooting promising calculations
You can provide reliable promise dates to shoppers as they browse for and check out products, as part of their shopping experience.
Managing cost-based optimization for promising
The shoppers can apply cost-based optimization for the promising as a fulfillment options by using the Order Hub UI. This enables IBM Sterling Intelligent Promising to account for cost optimization in promising calculations.
Creating and editing sourcing priority rules
You can create sourcing priority rules to ensure that certain nodes or distribution groups are prioritized at the location to fulfill orders.
Managing shipping commitment days
As a fulfillment manager, it is important to have visibility into the on-hand and future availability window for items that are shipped to customers. You might want to consider on-hand availability to ship inventory immediately to fulfill promise dates. Alternatively, you might want to limit the availability windows to fulfill a customer order.
Scenario: Defining shipping cutoff times
In Sterling Intelligent Promising you can schedule multiple shipping cutoff times and carrier pickups throughout the day. This flexibility helps you to define precise deadlines by which orders must be processed to meet customer delivery expectations. You can configure a node cutoff time for both PICK or SHIP orders and shipping cutoff times specifically for SHIP orders. Then, an order is finalized for shipment when capacity is available and the required shipping notification time is completed.
Scenario: Applying pickup schedules
This scenario demonstrates how pickup schedules impact promising calculations for pickup orders. By defining pickup schedules, you control when pickups occur during the day to align with inventory and capacity that is available. Pickup schedules help to provide accurate promising dates to customers and they reduce the risk of fulfillment delays.
Scenario: Applying pickup cutoffs
This scenario demonstrates how pickup cutoffs impact customer collections and estimated delivery dates for pickup orders. It is important to identify clear rules to manage same day pickup to avoid capacity overload and to maintain accurate promise dates.
Managing capacity conversion
If capacity is managed in RELEASES, you can set the RELEASES-to-UNITS conversion ratio by using the UI or APIs.
Scenario: Using the Estimated Delivery Dates cache
As an owner of an eCommerce platform, you want to ensure a fast and seamless experience for shoppers by reusing the cached EDD results on high -traffic pages, such as the Product List Page (PLP).
Scenario: Availability and fulfillment with unplanned inventory and unsegmented consumption
The Promising service now enhances the EDD and checkout assignment calculations by incorporating unplanned inventory and unsegmented consumption rules. Earliest available inventory is prioritized across all sources.

Parent topic: Managing