System and method of reverse sourcing of product returns based on restorage cost models
A system and method are disclosed for modeling restorage cost for reverse sourcing of regular items. The method includes detecting a return request from a customer for an item, identifying a supply type for the item, predicting a demand for the item at potential restorage sites in a supply chain network, deriving a likelihood of potential restorage sites meeting service level agreements, and calculating a restorage cost for each of the potential restorage sites, and based on the calculated restorage costs, recommend a restorage plan to a user, where the recommended restorage plan is based, at least in part, on a threshold value of the item. The method further includes identifying the potential restorage sites based, at least in part, on a geographic range and assigning a manual quality check to verify a condition of the item.
1 . A system for modeling restorage cost for reverse sourcing of regular items, comprising:
a computer, comprising a processor and a memory, the computer configured to:
detect a return request from a customer for an item;
identify a supply type for the item;
predict a demand for the item at one or more potential restorage sites in a supply chain network;
derive a likelihood of one or more potential restorage sites meeting one or more respective service level agreements; and
calculate a restorage cost for each of the one or more potential restorage sites and, based on the calculated restorage costs, recommend a restorage plan to a user; and
automated robotic production machinery configured to:
produce products based, at least in part, on the restorage plan.
2 . The system of claim 1 , wherein the likelihood is based, at least in part, on an inventory level.
3 . The system of claim 1 , wherein the computer is further configured to:
assign a manual quality check to verify a condition of the item.
4 . The system of claim 1 , wherein the supply type comprises one or more of:
items ready for immediate resale, items requiring repair or servicing and items that may be split into multiple saleable products.
5 . The system of claim 4 , wherein the supply type is based on a usage level of the item.
6 . The system of claim 5 , wherein the computer is further configured to:
identify the one or more potential restorage sites based, at least in part, on a geographic range.
7 . The system of claim 1 , wherein the recommended restorage plan is based, at least in part, on a threshold value of the item.
8 . A computer-implemented method for modeling restorage cost for reverse sourcing of regular items, comprising:
detecting, by a computer comprising a processor and a memory, a return request from a customer for an item;
identifying, by the computer, a supply type for the item;
predicting, by the computer, a demand for the item at one or more potential restorage sites in a supply chain network;
deriving, by the computer, a likelihood of one or more potential restorage sites meeting one or more respective service level agreements;
calculating, by the computer, a restorage cost for each of the one or more potential restorage sites and, based on the calculated restorage costs, recommend a restorage plan to a user; and
producing, by automated robotic production machinery, products based, at least in part, on the restorage plan.
9 . The computer-implemented method of claim 8 , further comprising:
wherein the likelihood is based, at least in part, on an inventory level.
10 . The computer-implemented method of claim 8 , further comprising:
assigning, by the computer, a manual quality check to verify a condition of the item.
11 . The computer-implemented method of claim 8 , wherein the supply type comprises one or more of:
items ready for immediate resale, items requiring repair or servicing and items that may be split into multiple saleable products.
12 . The computer-implemented method of claim 8 , wherein the supply type is based on a usage level of the item.
13 . The computer-implemented method of claim 8 , further comprising:
identifying, by the computer, the one or more potential restorage sites based, at least in part, on a geographic range.
14 . The computer-implemented method of claim 8 , wherein the recommended restorage plan is based, at least in part, on a threshold value of the item.
15 . A non-transitory computer-readable medium embodied with software for modeling restorage cost for reverse sourcing of regular items, the software when executed is configured to:
detect, by a computer comprising a processor and a memory, a return request from a customer for an item;
identify a supply type for the item;
predict a demand for the item at one or more potential restorage sites in a supply chain network;
derive a likelihood of one or more potential restorage sites meeting one or more respective service level agreements;
calculate a restorage cost for each of the one or more potential restorage sites and, based on the calculated restorage costs, recommend a restorage plan to a user; and
produce, by automated robotic production machinery, products based, at least in part, on the restorage plan.
16 . The non-transitory computer-readable medium of claim 15 , wherein the likelihood is based, at least in part, on an inventory level.
17 . The non-transitory computer-readable medium of claim 15 , wherein the software when executed is further configured to:
assign a manual quality check to verify a condition of the item.
18 . The non-transitory computer-readable medium of claim 15 , wherein the supply type comprises one or more of:
items ready for immediate resale, items requiring repair or servicing and items that may be split into multiple saleable products.
19 . The non-transitory computer-readable medium of claim 15 , wherein the supply type is based on a usage level of the item.
20 . The non-transitory computer-readable medium of claim 15 , wherein the software when executed is further configured to:
identify the one or more potential restorage sites based, at least in part, on a geographic range.