System for sales optimization utilizing biometric customer recognition technique

Abstract

A system and method for sales optimization having a store database storing information about past shopping experiences and preferences of different customers, a business rules engine connected to the store database, a biometric database containing biometric data, a customer identification engine connected to the biometric database; and a biometric detector detecting customer's presence in the store. The biometric detector is connected to the biometric database through the customer identification engine. The customer identification engine identifies detected customers using data stored in the biometric database. The system also includes at least one sales representative terminal connected to the business rules engine. When sales optimization tactic is determined, it is conveyed from the business rules engine to the sales representative terminal.

What is claimed is:  
     
         1 . A sales optimization system comprising: 
 a store database storing information about past shopping experiences and preferences of different customers;    a business rules engine connected to said store database;    a biometric database containing biometric data connected to said store database;    a customer identification engine connected to said biometric database; and    a biometric detection means detecting customer's presence in the store,    wherein said biometric detection means is connected to said biometric database through said customer identification engine and wherein said customer identification engine identifies said detected customers using data stored in said biometric database.    
     
     
         2 . The sales optimization system according to  claim 1  further comprising at least one sales representative terminal connected to said business rules engine.  
     
     
         3 . The sales optimization system according to  claim 2 , wherein sales optimization instructions are determined by said business rules engine and are conveyed to said at lease one sales representative terminal from said business rules engine.  
     
     
         4 . The sales optimization system according to  claim 1  further comprising a visitors log storing data about customers detected by said biometric detection means and identified by said customer identification engine.  
     
     
         5 . The sales optimization system according to  claim 1 , wherein said biometric detection means is an in-store video camera.  
     
     
         6 . The sales optimization system according to  claim 1 , wherein said biometric detection means comprises a plurality of facial recognition terminals.  
     
     
         7 . A method for sales optimization comprising the steps of: 
 storing information about past shopping experiences and preferences of different customers in a store database;    storing customer biometric data in a biometric database;    detecting customer's presence in the store by a biometric detection means;    identifying said customer using said customer biometric data stored in said biometric database;    determining sales optimizing tactic using said stored information about past shopping experiences and preferences of the identified customer and a predetermined set of business rules.    
     
     
         8 . The method for sales optimization according to  claim 7  further comprising the step of conveying said sales optimizing tactic to at least one sales representative.  
     
     
         9 . The method for sales optimization according to  claim 7  further comprising the step of storing data about customers detected by said biometric detection means and identified using said customer biometric data.  
     
     
         10 . The method for sales optimization according to  claim 7 , wherein said biometric detection means is an in-store video camera.  
     
     
         11 . The method for sales optimization according to  claim 7 , wherein said biometric detection means comprises a plurality of facial recognition terminals.