Delivery system
A delivery system generates a pick sheet containing a plurality of SKUs based upon an order. A loaded pallet is imaged to identify the SKUs on the loaded pallet, which are compared to the order prior to the loaded pallet leaving the distribution center. The loaded pallet may be imaged while being wrapped with stretch wrap. At the point of delivery, the loaded pallet may be imaged again and analyzed to compare with the pick sheet.
1. A delivery method comprising:
a) receiving an order for a plurality of SKUs;
b) generating a pick sheet based upon the order for the plurality of SKUs;
c) assembling a plurality of items based upon the pick sheet;
d) after said step c), imaging the assembled plurality of items to generate at least one image;
e) after said step d), analyzing the at least one image to identify the SKUs of the assembled plurality of items;
f) after said step e), comparing the SKUs identified in step e) to the SKUs on the pick sheet;
g) indicating whether the SKUs identified in step e) match the SKUs on the pick sheet based upon the comparison in step f); and
h) imaging a new item to generate a plurality of images to be associated with a new SKU; and
i) adding the plurality of images associated with the new SKU to a database so that the new item can be identified in step e).
2. The method of claim 1 wherein in said step c), the plurality of items are assembled on a platform.
3. The method of claim 2 wherein the platform is a pallet.
4. The method of claim 3 wherein the order is a first order of a plurality of orders received from a plurality of stores, wherein the pallet is one of a plurality of pallets, the method further including the steps of:
j) assigning each of the plurality of orders to one of a plurality of delivery routes, each of the plurality of delivery routes to be covered by one of a plurality of trucks;
k) for each of the plurality of delivery routes, determining a sequence in which stores along each delivery route will be visited;
l) determining a sequence for loading the pallets onto each of the plurality of trucks based upon the associated delivery route.
5. The method of claim 4 further including the step of:
m) identifying each of the plurality of pallets as they are being loaded onto the plurality of trucks; and
n) generating feedback based upon step m) compared to the sequence determined in step l).
6. The method of claim 5 wherein step m) includes the step of reading an rfid on each pallet as it approaches a loading dock.
7. The method of claim 3 further including the steps of:
j) after said steps a-g), moving the loaded pallet to a store associated with the order; and
k) after said step j), unloading the loaded pallet at the store.
8. The method of claim 7 further including the steps of:
l) after said steps a) to g) and j)-k), imaging a loaded pallet at the store to generate at least one store image; and
m) after said step l) analyzing the at least one store image to confirm validity of the loaded pallet.
9. The method of claim 8 wherein said step m) further includes
n) analyzing the at least one store image to identify the SKUs of the items on the pallet; and
o) comparing the SKUs identified in step n) to the SKUs on the pick sheet.
10. The method of claim 9 further including the step of:
p) in said step g), indicating that a SKU from the pick sheet is missing on the pallet; and
q) after said step p), placing the missing SKU on the pallet.
11. The method of claim 9 further including the steps of:
p) after step c) and before step j), placing a wrap around the loaded pallet.
12. The method of claim 11 further including the step of:
q) after step j) and before said step l), removing a wrap from around the loaded pallet.
13. The method of claim 12 wherein step d) is performed by a camera mounted to a wrapper carrying the wrap.
14. The method of claim 13 wherein said step d) is performed prior to said step p).
15. A method for adding an item to a delivery validation database including the steps of:
a) imaging the new item to generate a plurality of images of the new item;
b) adding the plurality of images of a new item to a database so that the new item can be identified on a pallet; and
c) training a machine learning process by generating a virtual image of a plurality of items on a platform and processing the virtual image of the plurality of items on the platform in a machine learning model to train the machine learning model.
16. The method of claim 15 further including the steps of indicating boundaries of the items in the virtual image and indicating SKUs associated with the boundaries.
17. The method of claim 15 wherein the virtual image is generated using at least one of the plurality of images of the new item.
18. The method of claim 15 further including the step of imaging multiple sides of the new item.
19. The method of claim 18 further including the step of identifying text and color in the plurality of images of the new item.
20. The method of claim 18 further including the step of generating a virtual stack of the plurality of images of the new item, analyzing the virtual stack in a machine learning module.