SYSTEMS AND METHODS FOR PRICING ANALYSIS
A system or a method is provided to collect pricing information from offline merchants at various geographical locations. The pricing information may include prices of various items offered at different offline merchants. The pricing information may be stored and analyzed to determine pricing trends at different time or locations. The pricing information may be presented to a user to provide pricing analysis to the user. Further, a merchant may publish pricing strategies or rules to the system. The pricing strategies may indicate that prices of certain items sold at the merchant may change over time based on certain conditions. Thus, pricing information from the offline merchants may be provided to users at appropriate times. In addition, a user may provide pricing information of items purchased by the user to the system. As such, pricing information from various offline merchants may be obtained by crowd sourcing.
1 . A system comprising:
a hardware memory storing information about a payment account of a user and a pricing information database comprising pricing information of products and services offered at merchants; and
one or more processors in communication with the memory and adapted to:
determine a purchase target indicating a product or service to be purchased by the user;
receive a location of the user;
search the pricing information database for offline merchants near the location of the user who offer the purchase target for sale;
perform pricing analysis on prices of the purchase target offered at the offline merchants; and
present results of the pricing analysis to the user.
2 . The system of claim 1 , wherein the one or more processors are further adapted to:
receive a payment request for making a purchase using the payment account;
receive purchase information related to the purchase including pricing information; and
storing the pricing information of the purchase in the pricing information database.
3 . The system of claim 1 , wherein the one or more processors are further adapted to:
receive pricing information from an offline merchant including prices of products or services offered at the offline merchant; and
storing the pricing information from the offline merchant.
4 . The system of claim 3 , wherein the pricing information received from the offline merchant includes pricing rules set by the offline merchant.
5 . The system of claim 4 , wherein the pricing rules include conditions based on sales volume or inventory volume.
6 . The system of claim 1 , wherein the purchase target is determined based on the user's browsing or search history.
7 . The system of claim 1 , wherein the location of the user is an anticipated location of the user determined based on the user's travel schedule or calendar events.
8 . The system of claim 1 , wherein the pricing analysis comprises comparing prices of the purchase target offered at the offline merchants near the user.
9 . The system of claim 1 , wherein the pricing analysis comprises predicting an anticipated price of the purchase target offered at an offline merchant based on historical pricing information.
10 . The system of claim 1 , wherein the pricing analysis comprises predicting an anticipated price of the purchase target offered at an offline merchant based on pricing rules set by the offline merchant and probability of conditions included in the pricing rules occurring.
11 . The system of claim 1 , wherein the one or more processors are further adapted to:
receive the user's subscription for price update for the purchase target;
monitor the prices of the purchase target offered at the offline merchants near the user; and
notify the user when a price discount is detected.
12 . A method comprising:
determining, by a processor of a payment service provider, a purchase target indicating a product or service to be purchased by a user registered at the payment service;
receiving, by the processor, a location of the user;
searching, by the processor, in a pricing information database for offline merchants near the location of the user who offer the purchase target for sale;
performing, by the processor, pricing analysis on prices of the purchase target offered at the offline merchants; and
presenting, by the processor, results of the pricing analysis to the user.
13 . The method of claim 12 further comprising:
receiving a payment request for making a purchase using the payment account;
receiving purchase information related to the purchase including pricing information; and
storing the pricing information of the purchase in the pricing information database.
14 . The method of claim 12 further comprising:
receiving pricing information from an offline merchant including prices of products or services offered at the offline merchant; and
storing the pricing information from the offline merchant.
15 . The method of claim 14 , wherein the pricing information received from the offline merchant includes pricing rules set by the offline merchant.
16 . The method of claim 15 , wherein the pricing rules include conditions based on sales volume or inventory volume.
17 . The method of claim 12 , wherein the purchase target is determined based on the user's browsing or search history.
18 . The method of claim 12 , wherein the location of the user is an anticipated location of the user determined based on the user's travel schedule or calendar events.
19 . The method of claim 12 , wherein the pricing analysis comprises comparing prices of the purchase target offered at the offline merchants near the user.
20 . The method of claim 12 , wherein the pricing analysis comprises predicting an anticipated price of the purchase target offered at an offline merchant based on historical pricing information.
21 . The method of claim 12 , wherein the pricing analysis comprises predicting an anticipated price of the purchase target offered at an offline merchant based on pricing rules set by the offline merchant and probability of conditions included in the pricing rules occurring.
22 . The method of claim 12 further comprising:
receiving the user's subscription for price update for the purchase target;
monitoring the prices of the purchase target offered at the offline merchants near the user; and
notifying the user when a price discount is detected.