Systems to fulfill a picked sales order and related methods therefor
A number of embodiments can include a system. The system can include one or more processors and one or more non-transitory computer-readable storage devices storing computing instructions. The computing instructions can be configured to run on the one or more processors and perform: receiving a request for a picked order that can comprise: a conveyance type; and one or more goods; estimating a fulfillment time interval to make ready the one or more goods of the picked order by: evaluating whether the picked order is able to be batched in a picked order batch; and when the picked order is able to be batched, evaluating the conveyance type to determine a conveyance type average fulfilment time interval; determining, using the fulfillment time interval, as estimated, and the conveyance type average fulfilment time interval, a receivable clock time at which to promise the one or more goods for receipt by a receiver; and communicating the receivable clock time to an electronic device of the receiver. Other embodiments are also disclosed herein.
1. A system comprising:
one or more processors; and
one or more non-transitory memory storage devices storing computing instructions configured to run on the one or more processors and cause the one or more processors to perform functions comprising:
receiving a request for a picked order comprising:
a conveyance type; and
one or more goods;
estimating a fulfillment time interval to make ready the one or more goods of the picked order by:
evaluating whether the picked order is able to be batched in a picked order batch using a k-means clustering algorithm that minimizes a pick walk of the picked order batch; and
when the picked order is able to be batched, evaluating the conveyance type to determine a conveyance type average fulfilment time interval;
determining, using the fulfillment time interval, as estimated, and the conveyance type average fulfilment time interval, a receivable clock time at which to promise the one or more goods for receipt by a receiver; and
communicating the receivable clock time to an electronic device of the receiver.
2. The system of claim 1 , wherein determining the conveyance type average fulfilment time interval comprises evaluating one or more of:
a dispensing capacity of the conveyance type;
a batching ability of the conveyance type; and
an ability of the conveyance type to operate autonomously.
3. The system of claim 1 , wherein determining the receivable clock time comprises:
identifying a current clock time;
identifying a first available clock time of one or more predetermined clock times; and
assigning the first available clock time as the receivable clock time.
4. The system of claim 3 , wherein identifying the first available clock time comprises:
identifying a clock time of the one or more predetermined clock times that satisfies at least two additional conditions:
(1) a difference of the clock time and the current clock time is greater than the fulfillment time interval, as estimated; and
(2) the clock time occurs after the current clock time; and
in response to satisfying the at least two additional conditions, identifying the clock time as the first available clock time.
5. The system of claim 3 , wherein:
the one or more predetermined clock times comprise:
one or more clock hours; or
one or more clock half-hours.
6. The system of claim 1 , wherein the one or more non-transitory memory storage devices storing the computing instructions are further configured to run on the one or more processors and cause the one or more processors to perform functions comprising:
after communicating the receivable clock time to the electronic device of the receiver, receiving an acceptance of the receivable clock time.
7. The system of claim 1 , wherein evaluating whether the picked order is able to be batched in the picked order batch comprises:
optimizing a tote fill of the picked order batch using a multi-objective optimization algorithm.
8. The system of claim 1 , wherein evaluating whether the picked order is able to be batched in the picked order batch comprises:
optimizing a tote fill of the picked order batch.
9. The system of claim 1 , wherein estimating the fulfillment time interval to make ready the one or more goods of the picked order comprises:
evaluating one or more good types of the one or more goods;
evaluating a quantity of aisle switches associated with picking the one or more goods;
evaluating an availability of one or more pickers to pick the one or more goods; and
evaluating whether one or more previously promised picked sales orders have been canceled.
10. The system of claim 1 , wherein the k-means clustering algorithm further minimizes a scatter cost of the picked order batch.
11. A method comprising:
receiving a request for a picked order comprising:
a conveyance type; and
one or more goods;
estimating a fulfillment time interval to make ready the one or more goods of the picked order by:
evaluating whether the picked order is able to be batched in a picked order batch using a k-means clustering algorithm that minimizes a pick walk of the picked order batch; and
when the picked order is able to be batched, evaluating the conveyance type to determine a conveyance type average fulfilment time interval;
determining, using the fulfillment time interval, as estimated, and the conveyance type average fulfilment time interval, a receivable clock time at which to promise the one or more goods for receipt by a receiver; and
communicating the receivable clock time to an electronic device of the receiver.
12. The method of claim 11 , wherein determining the conveyance type average fulfilment time interval comprises evaluating one or more of:
a dispensing capacity of the conveyance type;
a batching ability of the conveyance type; and
an ability of the conveyance type to operate autonomously.
13. The method of claim 11 , wherein determining the receivable clock time comprises:
identifying a current clock time;
identifying a first available clock time of one or more predetermined clock times; and
assigning the first available clock time as the receivable clock time.
14. The method of claim 13 , wherein identifying the first available clock time comprises:
identifying a clock time of the one or more predetermined clock times that satisfies at least two additional conditions:
(1) a difference of the clock time and the current clock time is greater than the fulfillment time interval, as estimated; and
(2) the clock time occurs after the current clock time; and
in response to satisfying the at least two additional conditions, identifying the clock time as the first available clock time.
15. The method of claim 13 , wherein:
the one or more predetermined clock times comprise:
one or more clock hours; or
one or more clock half-hours.
16. The method of claim 11 , further comprising:
after communicating the receivable clock time to the electronic device of the receiver, receiving an acceptance of the receivable clock time.
17. The method of claim 11 , wherein evaluating whether the picked order is able to be batched in the picked order batch comprises:
optimizing a tote fill of the picked order batch using a multi-objective optimization algorithm.
18. The method of claim 11 , wherein evaluating whether the picked order is able to be batched in the picked order batch comprises:
optimizing a tote fill of the picked order batch.
19. The method of claim 11 , wherein estimating the fulfillment time interval to make ready the one or more goods of the picked order comprises:
evaluating one or more good types of the one or more goods;
evaluating a quantity of aisle switches associated with picking the one or more goods;
evaluating an availability of one or more pickers to pick the one or more goods; and
evaluating whether one or more previously promised picked sales orders have been canceled.
20. The method of claim 11 , wherein the k-means clustering algorithm further minimizes a scatter cost of the picked order batch.