Method for controlling when mail is received by a recipient
A computer controlled method that enables a mailer to control when recipients will receive mail mailed by the mailer. The method involves receiving a mailing composition, the desired mailing in home delivery date ranges and carrier schedules; utilizing a prediction model built from historical delivery data to predict when the quantities of mail will arrive for the mailing; and using the prediction model to determine preferred induction dates for the mailing.
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This Application claims the benefit of the filing date of U.S. Provisional Application No. 60/663,027 filed Mar. 18, 2005, which is owned by the assignee of the present Application.
CROSS REFERENCE TO RELATED APPLICATIONSReference is made to commonly assigned co-pending patent application Docket No. F-986-O1 filed herewith entitled “Method For Predicting When Mail Is Received By A Recipient” in the name of John H. Winkelman and Docket No. F-986-O3 filed herewith entitled “Method For Predicting Call Center Volumes” in the names of Docket No. F-986-O4 filed herewith entitled, “Method for Dynamically Controlling Call Center Volumes,” in the names of Alla Tsipenyuk, John H. Winkleman, John W. Rojas, Kenneth G. Miller and James R. Norris, Jr. Docket No. F-986-O5 filed herewith entitled, “Method for Determining the best Day of the week For a Recipient to receive a mail piece,” in the names of John H. Winkleman, John W. Rojas, Kenneth G. Miller, Alla Tsipenyuk and James R. Norris, Jr.
FIELD OF THE INVENTIONThis invention relates to mailing mail pieces and, more particularly, to controlling the day of the week when a mail piece is delivered to a recipient.
BACKGROUND OF THE INVENTIONDirect marketers have used the mail to sell products to customers for almost as long as there has been mail. For direct marketers the USPS is viewed as a black box where the time required to process and deliver the mail is based on guess work and rule of thumb. Where First class mail has delivery standards associated with it, Standard class mail has less stringent delivery standards associated with it. For most of the country First class mail will be processed and delivered within three days. Once the USPS accepts Standard mail the time to process and deliver the mail will be from 1 to 14+ days. Direct marketers have learned to live with this lack of real knowledge when a mailing will be delivered in home or place of business.
A disadvantage of the prior art is that direct marketers use rules of thumb to determine in home or place of business or place of business date range for a mailing, which is not very accurate. One of the methods used is to base in home or place of business volumes on when the mailing was shipped from the mail production facility to the USPS induction facility, i.e. when the mailing is dropped. In home or place of business volumes would be so many days after the mailing dropped, such as from 1 to 10 days from the mailing drop date.
Another method used is to add seeds to the mailing to determine when the seeded mail is delivered and assign that delivery date to all the mail going to that destination city, state or all the mail in the tray the seed is in. Seeding involves sending a mail piece to a known address of a service firm and having the firm date stamp the mail piece and send the mail piece back to the direct mail marketer. A large number of seeds would be 200 or so which is not enough to cover the 350 USPS Destination Sectional Control Facilities in the United States. The direct mail marketer then infers the in-home dates for the mailing as a whole by correlating the shipment date of the mail (when it leaves the letter shop) and when the seed indicated that they received the mail piece. The direct mail marketer then assumes that all mail going to the area that the seed is in arrives on the same day or on some window around the seed date.
Another disadvantage of the prior art is that a mailer is unable to control when the mail will be delivered to a recipients home or place of business. A further disadvantage of the prior art is that a mailer does not know when the mail piece arrived at the recipient's home or place of business.
SUMMARY OF THE INVENTIONThis invention overcomes the disadvantages of the prior art by controlling when a direct marketing prospect will receive a mail piece. The foregoing is accomplished by establishing when to induct mail at each of the many Destinations Bulk Mail Centers (BMC) in the United States; establishing when to induct mail at each of the many, i.e., 350 Destination sectional Control facility (SCF) in the country; establishing the achievable service level—percentage of mail that can be expected to arrive in the desired in-home window that the direct mail marketer is trying to achieve.
An advantage of this invention is that it accounts for seasonal variability in mail delivery performance based upon USPS staffing and system loading.
An additional advantage this invention is that it accounts for the sortation density of all trays of mail within the mailing.
A further advantage of this invention is that it accounts for where the mail is going in terms of destination zip codes and USPS performance against those zip codes.
A still further advantage of this invention is that it accounts for and adjust expected in home or place of business curves for non-controllable circumstances such as natural events or national security issues.
This invention also takes into consideration: the impact that private logistics companies have on trucking, storing and ultimately inducting standard ‘A’ mail; the impact that when the USPS will actually accept truck loads of mail from high volume mailers; the shape, weight and format of the mail; and the conformance of the mail to USPS automation processing standards.
This invention overcomes the disadvantages of the prior art by determining when the prospect receives the offer; determining the day of week or day of month that produces the highest response rate; and determining prospect behavior in terms of gap between receiving the offer and acting on it.
BRIEF DESCRIPTION OF THE DRAWINGS
Referring now to the drawings in detail and, more particularly, to Prior Art
In step 1050 the process iterates through each container in the shipment and in step 1060 the process retrieves the container level data. Then the process will go to step 1070 to retrieve a historical container level delivery curve from step 1230. Then in step 1080 the container delivery distribution is calculated based upon the historical delivery curve by applying the container piece count for each day in the distribution and using Sundays, holidays and other postal delivery processing exceptions. Then in step 1090 the information from step 1080 and the drop ship appointment facility condition data from step 1240 is utilized to retrieve container induction and processing facility condition. Step 1091 determines whether or not the information from step 1240 is available. If step 1091 determines the information is available the next step in the process is step 1100 to calculate facility condition offset. If step 1091 determines the information is not available the next step in the process is step 1120.
Then step 1120 adds the container delivery curve to the shipment prediction curve. Then if step 1130 determines that there are no more containers in the shipment, the process goes to step 1140 to add a shipment prediction curve to a mailing prediction curve. If step 1130 determines that there are more containers in the shipment the next step will be step 1050. Now if step 1150 determines that there are no more shipments in the mailing the next step will be step 1160 to save the mailing prediction. If step 1150 determines that there are more shipments in the mailing the next step will be step 1010. Step 1170 ends the predict mailing process.
In the case of
The data for the report is defined as follows. Space 905 is the column header for the Date and space 906 is date for each row of data.
Space 907 is the row where the Totals are tallied for each column.
Space 908 is the header for the Total Scheduled Appointments, and space 909 is the total appointments for each date, and space 910 is the total scheduled appointments for the facility over the date range specified in space 904, Date Range above. Space 911 is the header for the columns related to Pallets scheduled and space 912 is the column header for the total count of pallets containing parcels scheduled and space 913 is the count of pallets containing parcels scheduled for each day. Space 914 is the total count of pallets containing parcels scheduled for all days and space 915 is the column header for the total count of pallets containing bundles scheduled. Space 916 is the count of pallets containing bundles scheduled for each day and space 917 is the total count of pallets containing bundles scheduled for all days.
Space 918 is the column header for the total count of pallets containing trays scheduled and space 919 is the count of pallets containing trays scheduled for each day. Space 920 is the total count of pallets containing trays scheduled for all days. Space 921 is the column header for the total count of pallets containing bundles scheduled. Space 922 is the count of pallets containing bundles scheduled for each day and space 923 is the total count of pallets containing bundles scheduled for all days. Space 924 is the column header for the total count of pallets scheduled and space 925 is the total count of pallets scheduled for each day. Space 926 is the total count of pallets scheduled for all days and space 927 is the header for the columns related to cross docked mail scheduled. Space 928 is the column header for the total count of cross docked mail containing parcels scheduled and space 929 is the count of cross docked mail containing parcels scheduled for each day. Space 930 is the total count of cross docked mail containing parcels scheduled for all days and space 931 is the column header for the total count of cross docked mail containing bundles scheduled. Space 932 is the count of cross docked mail containing bundles scheduled for each day and space 933 is the total count of cross docked mail containing bundles scheduled for all days. Space 934 is the column header for the total count of cross docked mail containing trays scheduled and space 935 is the count of cross docked mail containing trays scheduled for each day. Space 936 is the total count of cross docked mail containing trays scheduled for all days and space 937 is the column header for the total count of cross docked mail containing bundles scheduled. Space 938 is the count of cross docked mail containing bundles scheduled for each day and space 939 is the total count of cross docked mail containing bundles scheduled for all days. Space 940 is the column header for the total count of cross docked mail scheduled and space 941 is the total count of cross docked mail scheduled for each day. Space 942 is the total count of cross docked mail scheduled for all days. Space 943 is the header for the columns related to bed loads scheduled and space 944 is the column header for the total count of bed loads containing parcels scheduled. Space 945 is the count of bed loads containing parcels scheduled for each day and space 946 is the total count of bed loads containing parcels scheduled for all days. Space 947 is the column header for the total count of bed loads containing bundles scheduled and space 948 is the count of bed loads containing bundles scheduled for each day. Space 949 is the total count of bed loads containing bundles scheduled for all days and space 950 is the column header for the total count of bed loads containing trays scheduled. Space 951 is the count of bed loads containing trays scheduled for each day and space 952 is the total count of bed loads containing trays scheduled for all days. Space 953 is the column header for the total count of bed loads containing bundles scheduled and space 954 is the count of bed loads containing bundles scheduled for each day. Space 955 is the total count of bed loads containing bundles scheduled for all days and space 956 is the column header for the total count of bed loads scheduled. Space 957 is the total count of bed loads scheduled for each day and space 958 is the total count of bed loads scheduled for all days.
Step 1560 utilizes mailing container level data from step 1580 to compile historical mailing delivery data. Step 1550 utilizes historical mailing delivery data from step 1560 to produce historical container level delivery curves. Step 1540 stores the historical delivery data for predicting and/or controlling mailings
Each of the
In
In
In
In
In
Column 75 (IND_FIRST_SCAN_DAYS) is the IND_FIRST_SCAN_HRS represented as days. Column 76 (IND_LAST_SCAN_DAYS) is the IND_LAST_SCAN_HRS represented as days and column 77 (PALLET) identifies the pallet the mail piece is in for the mailing. Column 78 (BAG) identifies the bag the mail piece is in for the mailing.
In
Mail piece level data (
In
In
In
The process is applied to each mail piece that is scanned and starts in step 3000 and is followed by step 3020, where the last scan for the mail piece is loaded from step 3010, Mail piece Last Scan Date from USPS Confirm System. Next, step 3030 initializes the In Home Date for the mail piece as the Last Scan Date and then if step 3040 determines if the mail piece scan occurred after the delivery cut-off time for that facility, step 3050 will add 24 hours to the in home date, since the mail piece will not be delivered on the same day. Next if step 3060 determines that the In Home Date falls on a no-delivery date, such as a Sunday, Holiday, or exception date, etc, step 3070 will use the next available delivery date is used as the In Home Date for the mail piece.
The process continues at step 3080 where the calculated In Home Date is saved to space 69 in
Space 38 is the header for space 38a, the date and time when the truck completed unloading. Space 39a is the header for Space 39a, the Trailer Number, identifying the truck that delivered the mail.
The induction planner in step 510 using a model of the processing pattern of all facilities in the system determines the best day of the week to induct the mail at each of the target facilities. Step 510 is described in more detail in
Given all of the inputs, the system calculates an induction plan in step 510 containing the date to induct the mail for each destination facility within the USPS. Further, the system outputs an anticipated arrival curve for each container or shipment or the mailing campaign as a whole or a part of the campaign. The anticipated arrival curve provides the mailer with a realistic idea for when the mail will arrive with the recipient population given logistics constraints, postal processing variability, postal holidays and catastrophic events.
Once the mailer instructs the shipper when to induct the shipments at each destination processing facility the system monitors the USPS system in step 590 to measure when the shipment(s) were actually inducted. Step 590 is described in further detail in
Once the mail is accepted, those pieces containing scannable bar codes are processed and tracked through the USPS. The USPS reports that scan information for each scannable piece. The scanned data in step 650 is downloaded to the system and tied to the customer mail piece data in step 670 through an appropriate database in step 660. The system then uses that data to generate reports containing when the prospect population is in fact receiving the mail pieces. Further that data is used to create conformance reporting back to the mailer in step 640 demonstrating how much mail was in-homed within the desired window.
The delivery results of the mailing campaign including shipment and mail piece information are then used to update the induction planning model in step 540 thus refining the induction planner's in step 510 future capability to accurately determine when mail is to be inducted to achieve desired delivery dates.
Now in step 2040 each container in the shipment is processed. Then step 2050 the data associated with the make up of the container from step 2120 is retrieved. This data includes the container processing facility, destination facility, sort level, mail pieces in the container and make up of the mail piece. Then in step 2060 the historical level delivery curve associated with the container in step 2050 is retrieved from step 2130 historical delivery data. The historical delivery curve is conveyed as a proportional curve that indicates the percentage of mail pieces delivered each day.
In step 2070 the mail pieces delivered per day for this container is calculated by multiplying the mail piece counts in the container by the historical container delivery curve. Then, step 2080 adds the container delivery curve calculated in step 2070 to the shipment delivery curve. Now step 2090 determines whether or not there are more containers to be processed in the shipment. If step 2090 determines there are more containers in the shipment to be processed, the next step will be step 2040. If step 2090 determines there are no more containers in the shipment to be processed, the next step will be step 2300 to determine the best shipment induction date. Step 2300 is more fully described in the description of
Then the process goes to step 2100 to determine whether or not there are more shipments in the mailing campaign. If step 2100 determines that there are more shipments in the mailing campaign the next step is step 2010. If step 2100 determines that there are no more shipments in the mailing campaign the next step is step 2140 which prints an induction plan for execution. Now in step 2150 the mailing control algorithm is completed.
In step 2330, the induction date is determined for each in home window location taking into account Sundays and holidays. Then step 2340 retrieves the USPS facility acceptance schedule. Step 2340 exchanges information with step 2440 USPS facility acceptance schedule. At this point the process goes to step 2350. Step 2350 determines whether or not the USPS facility accepts mail on the induction date. If step 2350 determines that mail is accepted on the induction date, the process goes to step 2360 to retrieve the drop ship schedule. Step 2360 exchanges information with step 2450 drop shipper schedule. Then the process goes to step 2370. Step 2370 determines whether or not the drop shipper can deliver the shipment to the induction facility on the induction date. If step 2370 determines that the shipper can deliver the shipment on the induction date the process goes to step 2400 update shipment desired induction date. The next step will be step 2460 return. If step 2370 determines the drop shipper can not deliver the shipment on the induction date or if step 2350 determines that the USPS facility does not accept mail on the induction date then, the next step is 2390.
If decision step 2390, determines that the next highest in home window location does not exist, the process goes to step 2420, where the shipment is flagged as there is no known induction for the specified in home window. Then the process goes to step 2460 return.
It should be understood that although the present invention was described with respect to mail processing by the USPS, the present invention is not so limited and can be utilized in any application in which mail is processed by any carrier. The present invention may also be utilized for mail other than direct marketing mail, for instance, transactional mail, i.e., bills, charitable solicitations, political solicitations, catalogues etc. Also the expression “in-home” refers to the recipient's residence or place of business.
The above specification describes a new and improved method for enabling a mailer to control when mail will arrive at a recipient's home or place of business on a given date. It is realized that the above description may indicate to those skilled in the art additional ways in which the principles of this invention may be used without departing from the spirit. Therefore, it is intended that this invention be limited only by the scope of the appended claims.
Claims
1. A method utilizing a computer to control a mailing and when mail pieces will arrive at various destinations for a range of dates comprising the steps of:
- receiving a plurality of mail pieces and information regarding the mailing, desired mailing recipient delivery date ranges and carrier schedules;
- utilizing a prediction model built from historical delivery data to predict when the plurality of mail pieces will be delivered; and
- using the prediction model to determine preferred induction dates for the mailing.
2. The method claimed in claim 1, wherein the mailing is part of a mailing campaign.
3. The method claimed in claim 2, wherein the mailing campaign contains a plurality of mailing shipments that contain a plurality of containers containing a plurality of mail pieces.
4. The method claimed in claim 3, where the prediction model is used to determine the preferred induction dates in order to deliver the mail within in-home delivery requirements.
5. The method claimed in claim 4, further including the step of controlling the volume of mail by delivering an equal amount of mail on each day in the mailing in home delivery date range.
6. The method claimed in claim 5, further including the step of choosing mail induction dates that will evenly deliver mail for different mailing shipments throughout the in home date range.
7. The method claimed in claim 4, further including the step of controlling the quantities of mail by maximizing an amount of mail delivered on a specific date within the mailing in home delivery date range.
8. The method claimed in claim 7, further including the step of choosing mail induction dates that will deliver mail on the same days for different mailing shipments throughout the in home date range.
9. The method claimed in claim 4, further including the step of controlling the quantities of mail by maximizing an amount of mail delivered on a specific date outside the mailing in home delivery date range.
10. The method claimed in claim 4, further including the step of controlling the volume of mail by delivering an equal amount of mail on each day outside the mailing in home delivery date range.
11. The method claimed in claim 4, wherein the recipient mail volumes are controlled by changing the induction date of the mail.
12. The method claimed in claim 4, wherein the recipient mail volumes are controlled by changing the facility in which the mail is inducted.
13. The method claimed in claim 4, wherein the recipient mail volumes are controlled by rearranging one or more mail shipments by combining the mail shipments.
14. The method claimed in claim 4, wherein the recipient mail volumes are controlled by rearranging one or more mail shipments by splitting the mail shipments.
15. The method claimed in claim 1, wherein the mailing composition is selected from the induction facilities data, the processing facilities data, the number of mail pieces destined for each of the induction and processing facilities, the sort density for mail pieces in the mailing, destination zip codes of the mail pieces and the desired delivery days or dates for the mail pieces.
16. The method claimed in claim 15, further including the step of: calculating appropriate induction dates for each and every induction and processing facility, based upon the number of mail pieces destined for each facility, the sort density for the mail pieces in the mailing, the desired delivery days or dates and the destination zip code.
17. The method claimed in claim 16, further including the step of: calculating the probable distribution of receipt of the mail based upon historic carrier performance.
18. The method claimed in claim 1, wherein the mailing is part of a direct marketing campaign.
19. The method claimed in claim 18, wherein the mail in the direct marketing campaign contains an offer.
20. The method claimed in claim 1, wherein the mail in the mailing is transactional mail.
Type: Application
Filed: Mar 10, 2006
Publication Date: Aug 16, 2007
Applicant: Pitney Bowes Incorporated (Stamford, CT)
Inventors: James Norris (Danbury, CT), John Winkelman (Southbury, CT), Kenneth Miller (Bethel, CT), John Rojas (Norwalk, CT), Alla Tsipenyuk (Woodbridge, CT)
Application Number: 11/372,809
International Classification: B65B 35/00 (20060101);