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Vasu Palanisamy

age ~42

from San Ramon, CA

Also known as:
  • Palanisamy Vasu
Phone and address:
3011 Cedarwood Loop, San Ramon, CA 94582

Vasu Palanisamy Phones & Addresses

  • 3011 Cedarwood Loop, San Ramon, CA 94582
  • Peoria, AZ
  • Mount Dora, FL
  • Belmont, CA
  • Union City, CA
  • Foster City, CA
  • Charlotte, NC
  • Bloomington, MN
  • Edina, MN

Us Patents

  • Systems And Methods For Automated Customer Recurring Payment Processing

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  • US Patent:
    20180336557, Nov 22, 2018
  • Filed:
    May 18, 2018
  • Appl. No.:
    15/983630
  • Inventors:
    - Bentonville AR, US
    Chandrasekar Ramalingam - Belmont CA, US
    Vasu Palanisamy - San Ramon CA, US
  • International Classification:
    G06Q 20/40
    G06Q 20/22
  • Abstract:
    Systems, apparatuses, and methods are provided herein for automated customer recurring payment processing. A central computer system being configured to detect a payment date for a recurring payment associated with a customer account, retrieve customer payment information, and submit the customer payment information to a bank system. In the event the authorization fails and an error code corresponds to a payment information error, the system automatically generates a notification message to the customer at the messaging server, submits the updated customer payment information to the bank system, and updates an account status of the customer account when a payment authorization is received from the bank system.
  • Methods And Systems For Recognition Of In-Store Customers

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  • US Patent:
    20160092955, Mar 31, 2016
  • Filed:
    Sep 30, 2014
  • Appl. No.:
    14/502865
  • Inventors:
    - Bentonville AR, US
    Vasu Palanisamy - Union City CA, US
    Chandrasekar Ramalingam - Union City CA, US
    Dharani Prasad Pannam - Foster City CA, US
  • International Classification:
    G06Q 30/06
  • Abstract:
    Various examples of methods and systems for recognition of in-store customers are described. In one implementation, a method may receive first information related to identification of a first customer prior to the first customer visiting a store. The method may also receive second information related to identification of a second customer when the second customer visits the store. The method may further determine whether the second customer is the first customer based on the first information and the second information. The method may additionally provide the first information related to identification of the first customer to one or more computing devices in response to a positive determination that the second customer is the first customer.
  • Methods And Systems For Providing Shopping Suggestions To In-Store Customers

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  • US Patent:
    20160092961, Mar 31, 2016
  • Filed:
    Sep 30, 2014
  • Appl. No.:
    14/502392
  • Inventors:
    - Bentonville AR, US
    Vasu Palanisamy - Union City CA, US
    Chandrasekar Ramalingam - Union City CA, US
    Dharani Prasad Pannam - Foster City CA, US
  • International Classification:
    G06Q 30/06
  • Abstract:
    Various examples of methods and systems for providing shopping suggestions to in-store customers are described. In one implementation, a method may analyze store information specific to a store and customer information associated with a customer. The method may also identify one or more items as recommendation for the customer based on the analyzing. The method may further indicate the one or more items on a map of the store.
  • Methods And Systems For In-Store Fulfillment Prioritization Based On Customer Location

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  • US Patent:
    20160092969, Mar 31, 2016
  • Filed:
    Sep 30, 2014
  • Appl. No.:
    14/501789
  • Inventors:
    - Bentonville AR, US
    Vasu Palanisamy - Union City CA, US
    Chandrasekar Ramalingam - Union City CA, US
    Dharani Prasad Pannam - Foster City CA, US
  • International Classification:
    G06Q 30/06
    G06Q 10/08
  • Abstract:
    Various examples of methods and systems for in-store fulfillment prioritization based on customer location are described. In one implementation, a method may receive a first order from a first customer for in-store pickup of a first item by the first customer at a store. The first item may include a product or a service. The method may also determine a location of the first customer. The method may further prioritize fulfillment of a plurality of orders for in-store pickup based at least in part on the location of the first customer. The plurality of orders may include the first order and at least a second order for in-store pickup of a second item. The method may additionally execute a human resources logistics algorithm to predict the number of store associates required in order to service the plural orders in view of changes to the orders.

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