ECOMMERCE ORDER OPTIMIZATION TOOL

• US 20150332381A1
• Filed: 07/24/2015
• Published: 11/19/2015
• Est. Priority Date: 06/27/2011
• Status: Abandoned Application

• Current Assignee: Quality Logo Products
• Original Assignee: Quality Logo Products
• Inventors: Bonnet, Bret, Wenger, Michael
• Application Number:
  US14/808,255
• Publication Number:
  US 20150332381A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/08345 Pricing
• CPC Class Codes: G06Q 10/0875 Itemisation or classification of parts, supplies or services, e.g. bill of materials
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]
• CPC Class Codes: G06Q 30/0627 using item specifications
• CPC Class Codes: G06Q 30/0633 Lists, e.g. purchase orders, compilation or processing
• CPC Class Codes: G06Q 30/0635 Processing of requisition or of purchase orders

Abstract

An ecommerce cost optimization system includes: a display including information identifying an item; a quantity selection tool; a delivery location selection tool; an optimized offer presentation tool that provides at least one optimized option through the display component, wherein the at least one optimized option is optimized based on the selected delivery date and the selected delivery location; and an order placement tool to place an order from amongst the options provided by the optimized offer presentation tool. A method of providing optimized offer for non-stock item transactions through an ecommerce application includes receiving a user selection including a selected delivery date and a selected delivery location and determining an optimized offer based on analysis of the possible combinations of a production schedule and a delivery schedule for the selected quantity and delivery location.

Claims

1. An ecommerce cost optimization system comprising:

one or more computers configured with;

a display component for displaying information identifying an item;

a budget selection tool responsive to a user input to set at least one selected budget;

a delivery location selection tool responsive to a user input to set at least one selected delivery location;

a delivery date selection tool responsive to a user input to set at least one selected delivery date;

an optimized offer presentation tool responsive to the budget selection tool, delivery date selection tool and the delivery location selection tool, that, automatically in response to the selected budget, the selected delivery date and the selected delivery location, provides at least one price optimized option through the display component, wherein the at least one price optimized option is automatically selected from at least two combinations of one or more production schedules and one or more delivery options, wherein each of the combinations meets the selected budget, the selected delivery date and the selected delivery location, wherein the optimized offer presentation tool provides at least one price optimized option for each a plurality of items; and

an order placement tool responsive to a user input to place an order from amongst the at least one price optimized option provided by the optimized offer presentation tool.

2. The ecommerce cost optimization system of claim 1 wherein the user input consists of the selected delivery date and the selected delivery location.

3. The ecommerce cost optimization system of claim 1 further comprising a quantity selection tool responsive to a user input to select a quantity of an item, wherein the optimized offer presentation tool is responsive to the quantity selection tool in providing at least one price optimized option.

4. The ecommerce cost optimization system of claim 1 further including an alternative offer presentation tool that provides, through the display component, at least one alternative option to the at least one price optimized option and further wherein the order placement tool is responsive to a user input to place an order from amongst the at least one price optimized option and the at least one alternative option.

5. The ecommerce cost optimization system of claim 4 wherein the at least one alternative option includes an alternative option based on a different delivery location compared to the selected delivery location.

6. The ecommerce cost optimization system of claim 4 wherein the at least one alternative option includes an alternative option based on a later delivery date than the selected delivery date.

7. A method of providing an optimized offer for non-stock item transactions through an ecommerce application embodied in a computer-readable medium capable of execution by a computer, including the steps of:

providing an order placement mechanism including a delivery date selection tool, a delivery location selection tool, and an order placement tool;

receiving a user selection including a selected delivery date and a selected delivery location;

automatically in response to receiving the selected delivery date and selected delivery location, determining, by an optimized offer presentation tool, a price optimized offer based on analysis of the possible combinations of a production schedule and a delivery schedule for each a plurality of items to the selected delivery location; and

providing the user with at least one price optimized offer based on the selected delivery date and selected delivery location.

8. The method of claim 7 wherein the user input consists of the selected delivery date and the selected delivery location.

9. The method of claim 7 wherein at least one price optimized offer is provided for each of a plurality of quantities of an item.

10. The method of claim 7 further including the step of providing at least one alternative option to the at least one price optimized offer.

11. The method of claim 10 wherein the at least one alternative option is based on a different delivery location than the selected delivery location.

12. The method of claim 10 wherein the at least one alternative option is based on a later delivery date compared to the selected delivery date.

13. The method of claim 10 further including the step of receiving a user selected order from amongst the at least one price optimized offer and the at least one alternative option.