SYSTEM AND METHOD FOR TIERED OFFER FORECASTING

• US 20130090983A1
• Filed: 10/04/2012
• Published: 04/11/2013
• Est. Priority Date: 10/06/2011
• Status: Abandoned Application

• Current Assignee: Revionics, Inc. (Aptos, Inc.)
• Original Assignee: Revionics, Inc. (Aptos, Inc.)
• Inventors: Moore, Jeffrey, Evans, John Douglas
• Application Number:
  US13/645,257
• Publication Number:
  US 20130090983A1
• Time in Patent Office: Days
• US Class Current: 705/7.31
• CPC Class Codes: G06Q 30/0206 Price or cost determination based on market factors
• CPC Class Codes: G06Q 30/0207 Discounts or incentives, e.g. coupons or rebates

Abstract

A tiered offer forecasting process is performed on a system executing code contained on a computer-readable storage medium. The process includes receiving purchase records for a product, each of the purchase records including a basket count identifying a quantity of the product purchased and a unit price identifying a purchase cost for the product. Pricing for a tiered offer is received. The pricing includes a first offer price for the product at a first tier, a second offer price for the product at a second tier, and a tier breakpoint differentiating the first tier from the second tier. Consumer acceptance of each of the first and second offer prices is ascertained. The consumer acceptance is utilized to forecast quantities of sales of the product at each of the first and second offer prices. This forecast of sales is provided to a user for implementation in the tiered offer.

Claims

1. A method of forecasting sales of a product in a tiered offer comprising:

receiving, at a computing system, purchase records for said product, each of said purchase records including a basket count and a unit price, said a basket count identifying a quantity of said product purchased, and said unit price identifying a purchase cost for said product;

receiving, at said computing system, tiered offer pricing for said tiered offer, said tiered offer pricing including a first offer price for said product at a first tier, a second offer price for said product at a second tier, and a tier breakpoint differentiating said first tier from said second tier;

ascertaining consumer acceptance of said first offer price at said first tier and said second offer price at said second tier using said basket count and said unit price included in said each of said purchase records;

utilizing said consumer acceptance to forecast a first quantity of sales of said product at said first offer price and to forecast a second quantity of said sales of said product at said second offer price; and

providing, from said computing system, said forecast first quantity of said sales of said product at said first offer price and said forecast second quantity of said sales of said product at said second offer price to a user for implementation in said tiered offer.

2. A method as claimed in claim 1 further comprising:

for each said basket count, computing a frequency of said purchase records containing said quantity of said product purchased;

for said each said basket count, computing an average unit price for said product from said unit price, wherein said ascertaining operation utilizes said frequency and said basket count computed from said purchase records to ascertain said consumer acceptance of said first and second offer prices.

3. A method as claimed in claim 1 wherein said second price offer reflects a reduction in said purchase cost of said product relative to said first price offer when more than one of said product is purchased during a purchase transaction.

4. A method as claimed in claim 1 wherein said tier breakpoint is a minimum basket count value for said second tier, and said ascertaining operation comprises:

computing an offer incentive value relative to said first and second offer prices, said offer incentive value indicating a monetary incentive for purchasing said product at said second offer price relative to said first offer price;

determining, from said purchase records, a first incentive value that defines a frequency at which consumers purchased at least said minimum basket count value of said product;

identifying a second incentive value that defines a point at which an additional one of said product can be purchased for no additional cost to said consumers at said second offer price;

establishing an incentive curve that intersects each of said first and second incentive values; and

utilizing said offer incentive and said incentive curve to ascertain said consumer acceptance.

5. A method as claimed in claim 4 wherein said tier breakpoint is a minimum basket count value for said second tier, and said determining operation comprises:

sorting said purchase records by said basket count such that said first tier contains a first set of said purchase records containing said quantity of said product purchased that is less than said tier breakpoint and said second tier contains a second set of said purchase records containing said quantity of said product purchased that is equivalent to or greater than said tier breakpoint;

determining a nominal probability value as a sum of said frequency at said each of said basket count in said second tier;

computing a first weighted average price of said product at said first tier using a frequency and an average unit price for each basket count in said first set of said purchase records, said frequency indicating a proportion of said purchase records containing said basket count and said average unit price being an average of said unit price for said product when purchased at said basket count;

computing a second weighted average price of said product at said second tier using said frequency and said average unit price for said each basket count in said second set of said purchase records;

computing a nominal incentive value using said first and second weighted average prices; and

using said nominal probability value and said nominal incentive value to determine said first incentive value.

6. A method as claimed in claim 4 wherein said establishing operation comprises:

plotting said first and second incentive values on a two dimensional line chart;

forming said incentive curve in said line chart;

plotting said offer incentive value in said line chart; and

identifying an acceptance rate value as an intersection of said offer incentive value and said incentive curve in said line chart, said acceptance rate value defining said consumer acceptance as a proportion of said consumers willing to purchase said product at said second offer price for said second tier.

7. A method as claimed in claim 1 wherein said ascertaining operation comprises determining an acceptance rate value, said acceptance rate value defining said consumer acceptance as a proportion of consumers willing to purchase said product at said second offer price for said second tier.

8. A method as claimed in claim 7 further comprising:

computing a weighted offer price for said tiered offer using said first offer price, said second offer price, and said acceptance rate value, said weighted offer price reflecting a single offer price for said product;

determining a total quantity of said product forecast to be purchased using said weighted offer price; and

computing said first quantity of said sales as a first portion of said total quantity; and

computing said second quantity of said sales as a second portion of said total quantity.

9. A method as claimed in claim 8 wherein said determining said total quantity comprises executing a promotion forecasting engine to forecast said total quantity using said weighted offer price as a single pricing tier.

10. A method as claimed in claim 8 wherein:

said computing said first quantity comprises;

computing a first share of total sales of said product forecast to be purchased at said first offer price of said first tier;

computing a first tier weighting value for said first tier using said first share; and

computing said first quantity as a product of said total quantity and said first tier weighting value; and

said computing said second quantity comprises;

computing a second share of said total sales of said product forecast to be purchased at said second offer price of said second tier;

computing a second tier weighting value for said second tier using said second share; and

computing said second quantity as a product of said total quantity and said second tier weighting value.

11. A method as claimed in claim 1 further comprising enabling a user to specify said first and second price offers and said tier breakpoint.

12. A system for forecasting sales of a product in a tiered offer comprising:

a processor;

a computer-readable storage medium; and

executable code recorded on said computer-readable storage medium for instructing said processor to perform operations comprising;

receiving purchase records for said product, each of said purchase records including a basket count and a unit price, said a basket count identifying a quantity of said product purchased, and said unit price identifying a purchase cost for said product;

for each said basket count, computing a frequency of said purchase records containing said quantity of said product purchased;

for said each said basket count, computing an average unit price for said product from said unit price;

receiving, at said computing system, tiered offer pricing for said tiered offer, said tiered offer pricing including a first offer price for said product at a first tier, a second offer price for said product at a second tier, and a tier breakpoint differentiating said first tier from said second tier;

ascertaining consumer acceptance of said first offer price at said first tier and said second offer price at said second tier using said frequency and said basket count, said ascertaining operation including determining an acceptance rate value, said acceptance rate value defining said consumer acceptance as a proportion of consumers willing to purchase said product at said second offer price for said second tier;

utilizing said consumer acceptance to forecast a first quantity of sales of said product at said first offer price and to forecast a second quantity of said sales of said product at said second offer price; and

providing, from said system, said forecast first quantity of said sales of said product at said first offer price and said forecast second quantity of said sales of said product at said second offer price to a user for implementation in said tiered offer.

13. A system as claimed in claim 12 wherein said executable code instructs said processor to perform further operations comprising:

computing a weighted offer price for said tiered offer using said first offer price, said second offer price, and acceptance rate value, said weighted offer price reflecting a single offer price for said product;

determining a total quantity of said product forecast to be purchased using said weighted offer price; and

computing said first quantity of said sales as a first portion of said total quantity; and

computing said second quantity of said sales as a second portion of said total quantity.

14. A system as claimed in claim 13 wherein said executable code instructs said processor to perform a further operation comprising executing a promotion forecasting engine to forecast said total quantity using said weighted offer price as a single pricing tier.

15. A system as claimed in claim 12 further comprising an input element coupled to said processor for receiving said first offer price, said second offer price, and said tier breakpoint from a user.

16. A system as claimed in claim 15 wherein said second price offer received from said user reflects a reduction in said purchase cost of said product relative to said first price offer when more than one of said product is purchased during a purchase transaction

17. A computer-readable storage medium containing executable code for forecasting sales of a product in a tiered offer, said executable code instructing a processor to perform operations comprising:

receiving purchase records for said product, each of said purchase records including a basket count and a unit price, said a basket count identifying a quantity of said product purchased, and said unit price identifying a purchase cost for said product;

for each said basket count, computing a frequency of said purchase records containing said quantity of said product purchased;

for said each said basket count, computing an average unit price for said product from said unit price,

receiving tiered offer pricing for said tiered offer, said tiered offer pricing including a first offer price for said product at a first tier, a second offer price for said product at a second tier, and a tier breakpoint differentiating said first tier from said second tier, said tier breakpoint defining a minimum basket count value for said second tier;

ascertaining consumer acceptance of said first offer price at said first tier and said second offer price at said second tier using said frequency and said average unit price, said ascertaining operation including;

computing an offer incentive value relative to said first and second offer prices, said offer incentive value indicating a monetary incentive for purchasing said product at said second offer price relative to said first offer price;

determining, from said purchase records, a first incentive value that defines a frequency at which consumers purchased at least said minimum basket count value of said product;

identifying a second incentive value that defines a point at which an additional one of said product can be purchased for no additional cost to said consumers at said second offer price;

establishing an incentive curve that intersects each of said first and second incentive values; and

utilizing said offer incentive and said incentive curve to ascertain said consumer acceptance;

utilizing said consumer acceptance to forecast a first quantity of sales of said product at said first offer price and to forecast a second quantity of said sales of said product at said second offer price; and

providing, from said computing system, said forecast first quantity of said sales of said product at said first offer price and said forecast second quantity of said sales of said product at said second offer price to a user for implementation in said tiered offer.

18. A computer-readable storage medium as claimed in claim 17 wherein said executable code instructs said processor to perform further operations of said determining operation comprising:

sorting said purchase records by said basket count such that said first tier contains a first set of said purchase records containing said quantity of said product purchased that is less than said tier breakpoint and said second tier contains a second set of said purchase records containing said quantity of said product purchased that is equivalent to or greater than said tier breakpoint;

determining a nominal probability value as a sum of said frequency at said each of said basket count in said second tier;

computing a first weighted average price of said product at said first tier using a frequency and an average unit price for each basket count in said first set of said purchase records, said frequency indicating a proportion of said purchase records containing said basket count and said average unit price being an average of said unit price for said product when purchased at said basket count;

computing a second weighted average price of said product at said second tier using said frequency and said average unit price for said each basket count in said second set of said purchase records;

computing a nominal incentive value using said first and second weighted average prices; and

using said nominal probability value and said nominal incentive value to determine said first incentive value.

19. A computer-readable storage medium as claimed in claim 17 wherein said executable code instructs said processor to perform operations of said establishing operation comprising:

plotting said first and second incentive values on a two dimensional line chart;

forming said incentive curve in said line chart;

plotting said offer incentive value on said line chart; and

identifying an acceptance rate value as an intersection of said offer incentive value and said incentive curve in said line chart, said acceptance rate value defining said consumer acceptance as a proportion of said consumers willing to purchase said product at said second offer price for said second tier.

20. A computer-readable storage medium as claimed in claim 19 wherein said executable code instructs said processor to perform further operations comprising:

computing a weighted offer price for said tiered offer using said first offer price, said second offer price, and said acceptance rate value, said weighted offer price reflecting a single offer price for said product;

determining a total quantity of said product forecast to be purchased using said weighted offer price; and

computing said first quantity of said sales as a first portion of said total quantity; and

computing said second quantity of said sales as a second portion of said total quantity.