US2014214603A1PendingUtilityA1

Ecommerce order optimization tool

Assignee: QUALITY LOGO PRODUCTS INCPriority: Jun 27, 2011Filed: Mar 28, 2014Published: Jul 31, 2014
Est. expiryJun 27, 2031(~4.9 yrs left)· nominal 20-yr term from priority
G06Q 30/0601G06Q 30/0633G06Q 30/0627
49
PatentIndex Score
0
Cited by
0
References
0
Claims

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

exact text as granted — not AI-modified
I claim: 
     
         1 . An ecommerce cost optimization system comprising:
 one or more computers configured with:   a display component for displaying information identifying an item;   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 delivery date selection tool and the delivery location selection tool, that, automatically in response to 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 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.

Join the waitlist — get patent alerts

Track US2014214603A1 — get alerts on status changes and closely related new filings.

We store only your email — no account needed. See our privacy policy.