System and method of suggestive analysis of customer data
A computer network uses first and second computers to host first and second websites. Customer data is accumulated at the first website. The customer data is stored in a database. The first website creates a reference number from a customer identification number and reservation number to identify a location of the customer data in the database. The customer selects a hyperlink from the first website to the second website. The reference number is sent to the second website in the URL address string. The second website uses the reference number to retrieve the customer data stored in the database and populates the second website. The second website provides information and recommendations generated from a suggestive analysis of the customer data for the benefit of the customer.
1 . A method of providing suggestive analysis of customer data on a website, comprising:
accumulating customer data at a first website;
storing the customer data in a database;
linking from the first website to a second website;
retrieving the customer data stored in the database; and
providing recommendations on the second website based on suggestive analysis of the customer data accumulated at the first website.
2 . The method of claim 1 wherein the step of providing recommendations includes making determinations of projected needs based on the customer data retrieved from the database.
3 . The method of claim 2 wherein the step of providing recommendations includes calculating man-hours of labor based on a rental truck capacity.
4 . The method of claim 1 wherein the step of providing recommendations includes packaging a plurality of related services based on the customer data retrieved from the database.
5 . The method of claim 1 wherein the step of providing recommendations includes providing a chart of comparative services based on the customer data retrieved from the database.
6 . The method of claim 1 wherein the customer data retrieved from the database is used to populate fields in the second website.
7 . A method of making recommendations to a customer on a website, comprising:
providing an ability for the customer to access the website;
retrieving data stored in a database;
analyzing the data from the database; and
populating the website with information and recommendations derived from the analysis of the data from the database.
8 . The method of claim 7 wherein the step of analyzing the data includes ascertaining related needs based on the data retrieved from the database.
9 . The method of claim 7 wherein the step of populating the website includes packaging a plurality of related services based on the data retrieved from the database.
10 . The method of claim 7 wherein the step of populating the website includes providing a chart of comparative services based on the data retrieved from the database.
11 . A method of populating a website with recommendations generated from a suggestive analysis of customer data, comprising:
retrieving customer data stored in a database;
generating recommendations based on suggestive analysis of the customer data; and
populating the website with the recommendations generated from the suggestive analysis of the customer data.
12 . The method of claim 11 further including:
accumulating customer data; and
storing the customer data into the database.
13 . The method of claim 11 further including:
accumulating the customer data through a reservation initiated by a customer at a first website; and
linking from the first website to a second website selected by the customer.
14 . The method of claim 11 wherein the step of generating recommendations includes making determinations of projected needs based on the data retrieved from the database.
15 . The method of claim 11 further including packaging a plurality of related services based on the data retrieved from the database.
16 . The method of claim 11 wherein the step of populating the website includes providing a chart of comparative services based on the data retrieved from the database.
17 . A computer system for populating a website with recommendations generated from a suggestive analysis of customer data, comprising:
means for retrieving customer data stored in a database;
means for generating recommendations based on suggestive analysis of the customer data; and
means for populating the website with the recommendation generated from the suggestive analysis of the customer data.
18 . The computer system of claim 17 further including:
means for accumulating customer data; and
means for storing the customer data into the database.
19 . The computer system of claim 17 further including means for making determinations of projected needs based on the data retrieved from the database.
20 . The computer system of claim 17 further including packaging a plurality of related services based on the data retrieved from the database.
21 . The computer system of claim 17 further including means for providing a chart of comparative services based on the data retrieved from the database.