SYSTEM AND METHOD FOR GENERATION OF A REAL-TIME PERSONALIZED PRICE ADJUSTMENT

1 . A method for generating a real-time personalized price adjustment, comprising:

receiving by an e-commerce server a message that at least one product is added to an electronic shopping cart of an electronic-commerce website (e-commerce) displayed on a consumer device;

collecting by the e-commerce server at least one user-activity parameter related to a user of the consumer device;

collecting at least one product-related parameter to the at least one product;

generating in real-time a price adjustment for purchasing the at least one product, wherein the price adjustment is generated based on the at least one user-activity parameter and the at least one product-related parameter; and

displaying of the price adjustment in the electronic shopping cart in association with the at least product type.

2 . The method of claim 1 , further comprising:

storing the user-activity parameters in a database.

3 . The method of claim 1 , wherein the message is received from any one of: the consumer device, a web source hosting the e-commerce website.

4 . The method of claim 1 , wherein the at least one user-activity parameter includes at least one of: behavioral information, shopping history information, and demographic information.

5 . The method of claim 1 , wherein the at least one product-related parameter includes at least one of: a type of product, a product price, shipping costs, a minimum price for the product, a minimum margin for the product, and an inventory level of the product.

6 . The method of claim 5 , wherein displaying of the price adjustment is in response to a predefined trigger.

7 . The method of claim 6 , wherein the predefined trigger is any one of: a predefined time elapsed since the at least one product was initially added to the electronic shopping cart, navigating away from the e-commerce website, and changing a quantity of the at least one product in the electronic shopping cart.

8 . The method of claim 1 , wherein generating the price adjustment further comprises:

computing an interest score based on the at least one user-activity parameter, wherein the interest score indicates a degree of interest of the user in the at least one product;

computing a product score based on the at least one product related parameter, wherein the product score that a price of the at least one product can be adjusted; and

computing an adjustment value as a function the interest score and the product score, if the interest score and the product score are above a predefined threshold.

9 . The method of claim 8 , further comprising:

applying the adjustment value on a current price of the at least one product to result in the price adjustment.

10 . A non-transitory computer readable medium having stored thereon instructions for causing one or more processing units to execute the method according to claim 1 .

11 . A system for generation of real-time personalized price adjustment comprising:

a processor; and,

a memory coupled to the processor, the memory containing instructions that, when executed by the processor, configure the system to:

receive by an e-commerce server a message that at least one product is added to an electronic shopping cart of an electronic-commerce website (e-commerce) displayed on a consumer device;

collect by the e-commerce server at least one user-activity parameter related to a user of the consumer device;

collect at least one product-related parameter to the at least one product;

generate in real-time a price adjustment for purchasing the at least one product, wherein the price adjustment is generated based on the at least one user-activity parameter and the at least one product-related parameter; and

display of the price adjustment in the electronic shopping cart in association with the at least product type.

12 . The system of claim 11 , further comprising:

storing the user-activity parameters in a database.

13 . The system of claim 11 , wherein the message is received from any one of:

the consumer device, a web source hosting the e-commerce website.

14 . The system of claim 11 , wherein the at least one user-activity parameter includes at least one of: behavioral information, shopping history information, and demographic information.

15 . The system of claim 11 , wherein the at least one product-related parameter includes at least one of: a type of product, a product price, shipping costs, a minimum price for the product, a minimum margin for the product, and an inventory level of the product.

16 . The system of claim 15 , wherein displaying of the price adjustment is in response to a predefined trigger.

17 . The system of claim 16 , wherein the predefined trigger is any one of: a predefined time elapsed since the at least one product was initially added to the electronic shopping cart, navigating away from the e-commerce website, and changing a quantity of the at least one product in the electronic shopping cart.

18 . The system of claim 11 , wherein the system is further configured to:

compute an interest score based on the at least one user-activity parameter, wherein the interest score indicates a degree of interest of the user in the at least one product;

compute a product score based on the at least one product related parameter, wherein the product score that a price of the at least one product can be adjusted; and

compute an adjustment value as a function the interest score and the product score, if the interest score and the product score are above a predefined threshold.

19 . The system of claim 18 , the system is further configured to:

apply the adjustment value on a current price of the at least one product to result in the price adjustment.