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Framingham, MA, United States

Staples, Inc. is a large office supply chain store, with over 2,000 stores worldwide in 26 countries. Based in Framingham, Massachusetts, United States, the company has retail stores serving customers under its original name in Australia, Austria, Brazil, China, Finland, France, Germany, India, Italy, Norway, Portugal, the United Kingdom, and the United States, while operating subsidiaries in Argentina as Officenet-Staples, in Netherlands as Staples Office Centre, in Canada as Staples Canada , and in Italy as Mondoffice. Staples also does business exclusively with enterprises in the United States and multiple European countries as Staples Advantage.Staples sells supplies, office machines, promotional products, furniture, technology, and business services both in stores and online. The company opened its first store in Brighton, Massachusetts on May 1, 1986. Wikipedia.


Patent
Staples | Date: 2014-10-17

The disclosure includes technology for providing custom content for display. In an example embodiment, a computer-implemented method includes storing unique customer types in a non-transitory computer storage device; storing in the computer storage device custom contents in association with one or more of the different customer types; receiving at a user device or a server coupled to the user device interaction data from the user device of a user describing an interaction by the user with a site presented for display to the user on the user device; determining by the user device or the server a customer type for the user; querying by the user device or the server the custom contents stored on the computer storage device for a custom content matching the customer type and associated with the interaction data; and presenting the custom content to the user via the display of the user device.


An example system is configured to compile behavioral data describing past actions including products viewed and purchases made by users while visiting applications hosted by servers accessible by the users via a computer network; segment the behavioral data into clusters of behavior factors according to statistically related actions of the users; compile present user data describing a current action and a geo-location of a user while visiting a merchant application hosted by a server coupled to the computer network and accessible by the user; determine a geo-location of the mobile device of the user; while the user is still using the merchant application, compute a match; generate based on the match targeted information influenced by the geo-location of the user; and transmit the targeted information to the mobile device of the user for display prior to the user leaving the merchant application.


In an example embodiment, a method retrieves a customer product-class mapping that maps a customer identifier of each of a multiplicity of customers to 1) a customer tier, 2) a product class associated with an online, retail, and/or phone sales channel, and 3) a plurality of variables characterizing an interaction of the customer with the product class via the online, retail, and/or phone sales channel. The method generates a predictive score for each unique combination of the customer identifier, the customer tier, and the product class using predetermined online sales channel rules, predetermined retail sales channel rules, and/or predetermined phone sales channel rules, respectively, and the plurality of variables. The method selects a first set of customers from the multiplicity of the customers based on the predictive score and a revenue generated from the each unique combination and generates a schedule for contacting the first set of customers.


In an example implementation, a method receives first-party data and third-party data and generates a customer profile for the customer of a merchant based on the first-party data and the third-party data. The customer profile has a set of attributes. The method further generates a set of rules for evaluating a disposition of the customer based on the set of attributes of the customer profile, receives real-time intelligence data associated with the customer during a visit to the merchant or an interaction with marketing content of the merchant, predicts the disposition of the customer using the real-time intelligence data and one or more of the rules, and adapts a shopping experience of the customer during the visit to the merchant or a marketing content of the merchant for the customer using the predicted disposition.


Patent
Staples | Date: 2014-05-06

A system for automatically managing vulnerabilities may determine vulnerability data describing vulnerabilities in an information technology environment and then assign each vulnerability to a stakeholder for remediation. The system may receive a remediation proposal from the stakeholder, obtain approval for the remediation proposal, and facilitate remediation of the vulnerability based on the proposal.

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