Scenario: Rescheduled orders

There are different scenarios available for rescheduling orders. You can reschedule an entire order or part of an order. Also, you can reschedule a newly-added order line.

The following examples demonstrate how rescheduled orders are re-optimized in the Optimization service through the number of orders, packages, and shipping costs.

Example 1: Re-optimizing a rescheduled order

Consider an order ORD0010 with two order lines.

Table 1. ORD0010
LineID ItemID Quantity Weight
L0001 Item0001 1 1.2
L0002 Item0002 1 1.1

Results: On 4 October, the order is optimized and the optimization results in a single ship node (store ST0001) rather than two nodes, a package weight combined of 2.3 pounds, and a shipping cost of $9 as shown in the following table:

Table 2. Net KPI values on 4 October
KPI Value
Total orders 1
Total order lines 2
Total packages 1
Total weight (lbs.) 2.3
Total shipping cost (USD) 9

Example 2: Rescheduling an entire order

Entire order is rescheduled
On 5 October, ORD0010 is scheduled and optimized completely.
Table 3. ORD0010
LineID ItemID Quantity Weight
L0001 Item0001 1 1.2
L0002 Item0002 1 1.1
Results: The optimization result has a different ship node (ST0002) based on the data at the time of optimization, and the shipping cost is $8. The KPIs have negative adjustments for the optimization result on 4 October and positive adjustments for the data on 5 October as shown in the following table:
Table 4. Comparison of net KPI values on 4 October and 5 October
KPI Value on 4 October Value on 5 October
Total orders 1 1
Total order lines 2 2
Total packages 1 1
Total weight (lbs.) 2.3 2.3
Total shipping cost (USD) 9 8

Example 3: Rescheduling part of an order

Part of the order is rescheduled

On 6 October at 08:00, ORD0010 is scheduled and partially optimized. Only Item0002 is sent for optimization.

Table 5. ORD0010
LineID ItemID Quantity Weight
L0002 Item0002 1 1.1

Results: The optimization result is ship node ST0003 based on the data at the time of optimization. The shipping cost of the package of Item0002 is $4. The KPIs have negative adjustments for the optimization results at 4 October and 5 October, and positive adjustments for the data on 6 October at 08:00.

Since the entire order is not rescheduled and Item0001 is part of a package from ST0002, a shipping cost of $6 is determined at ST0002 for the package weight of 1.2lbs as shown in the following table:
Table 6. Comparison of net KPI values at 4 October, 5 October, and 6 October at 08:00
KPI Value on 4 October Value on 5 October Value on 6 October at 08:00
Total orders 1 1 1
Total order lines 2 2 2
Total packages 1 1 2
Total weight (lbs.) 2.3 2.3 2.3
Total shipping cost (USD) 9 8 10

Example 4: A newly added order line is rescheduled

A newly added order line is scheduled
On 6 October at 10:00, a new order line (L0003) is added to ORD0010, scheduled, and optimized.
Table 7. ORD0010
LineID ItemID Quantity Weight
L0001 Item0001 1 1.2
L0002 Item0002 1 1.1
L0003 Item0003 1 0.5
Results: The optimization result is ship node ST0002 based on the data at the time of optimization. The shipping cost of the package of Item0003 is $3.50 for a package weight of 0.5lbs. Since a new order line is optimized, there is no negative adjustment. Instead, a positive adjustment takes place for the KPIs based on the optimization result on 6 October at 10:00.
Table 8. Comparison of net KPI values at 4 October, 5 October, 6 October at 08:00, and 6 October at 10:00
KPI Value on 4 October Value on 5 October Value on 6 October at 08:00 Value on 6 October at 10:00
Total orders 1 1 1 1
Total order lines 2 2 2 3
Total packages 1 1 2 3
Total weight (lbs.) 2.3 2.3 2.3 2.8
Total shipping cost (USD) 9 8 10 13.5