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11.
公开(公告)号:US20160189240A1
公开(公告)日:2016-06-30
申请号:US15062888
申请日:2016-03-07
Applicant: Amazon Technologies, Inc.
Inventor: Michael Martin George , Aditya Balwant Pande , Gustavo Eduardo Lopez
CPC classification number: G06Q30/0269 , G06Q30/0215 , H04N7/147 , H04N7/15
Abstract: Architectures and techniques are described to provide a number of options to exchange information related to deals via a plurality of channels. Each of the communication channels may be utilized to exchange communications about different aspects of acquiring and redeeming deals. The channel options may be related to categories of computing devices, operating systems executed by computing devices, one or more sites, various forms of communication, client device applications, etc. A service provider that offers deals on behalf of merchants may determine one or more options for each communication channel with respect to merchants offering deals and with respect individuals that may participate in deals offered by the service provider. After determining the channel options for a deal offered by a particular merchant and for individuals designated to receive information about the deal, communications with respect to the deal may be exchanged over the channels via certain channel options.
Abstract translation: 描述了架构和技术以提供多种选项来通过多个通道交换与交易有关的信息。 每个通信信道可以用于交换关于获取和兑换交易的不同方面的通信。 信道选项可以与计算设备的类别,由计算设备执行的操作系统,一个或多个站点,各种形式的通信,客户端设备应用等相关。代表商家提供交易的服务提供商可以确定一个或多个 每个通信渠道对于提供交易的商家和可能参与由服务提供商提供的交易的个人的每个通信渠道的选择。 在确定由特定商家提供的交易的渠道选项以及被指定接收关于交易的信息的个人之后,可以经由某些频道选项通过频道交换关于交易的通信。
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公开(公告)号:US11030535B1
公开(公告)日:2021-06-08
申请号:US14749452
申请日:2015-06-24
Applicant: Amazon Technologies, Inc.
Inventor: Siddharth Arora , Maciej Golonka , Gustavo Eduardo Lopez , Dana Christopher LoPiccolo-Giles , Valerie Grace Millar
Abstract: Merchant quality may be inferred through machine learning techniques. A customer satisfaction classifier may receive data associated with a customer's engagement with a merchant, and may apply a machine learning model to the received data in order to infer a satisfaction of the customer with the merchant. The inferred satisfaction may be used to determine a rating of the merchant that is imputed to the customer.
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公开(公告)号:US10360616B2
公开(公告)日:2019-07-23
申请号:US14665931
申请日:2015-03-23
Applicant: Amazon Technologies, Inc.
Inventor: Gustavo Eduardo Lopez , Canku Alp Calargun
Abstract: Customers may place orders for items for delivery, where merchants provide the items, and a service provider receives the orders and facilitates the delivery of the items. Upon receiving multiple orders, the orders may be prioritized based on users scores associated with users that placed the orders. An order objective for the orders may be determined and multiple fulfillment plans for each order may be generated. For a particular order, a fulfillment plan of the multiple fulfillment plans may be selected based on the order objective for that order, where the selected fulfillment plan may govern how and when the items included in the order are to be delivered to the user that placed the order. The service provider may cause the items associated with the order to be delivered to the user pursuant to the selected fulfillment plan.
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公开(公告)号:US20180240181A1
公开(公告)日:2018-08-23
申请号:US14665931
申请日:2015-03-23
Applicant: Amazon Technologies, Inc.
Inventor: Gustavo Eduardo Lopez , Canku Alp Calargun
CPC classification number: G06Q30/0635 , G06Q10/00 , G06Q10/0832 , G06Q10/0833 , G06Q10/08355
Abstract: Customers may place orders for items for delivery, where merchants provide the items, and a service provider receives the orders and facilitates the delivery of the items. Upon receiving multiple orders, the orders may be prioritized based on users scores associated with users that placed the orders. An order objective for the orders may be determined and multiple fulfillment plans for each order may be generated. For a particular order, a fulfillment plan of the multiple fulfillment plans may be selected based on the order objective for that order, where the selected fulfillment plan may govern how and when the items included in the order are to be delivered to the user that placed the order. The service provider may cause the items associated with the order to be delivered to the user pursuant to the selected fulfillment plan.
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公开(公告)号:US20180114242A1
公开(公告)日:2018-04-26
申请号:US14192420
申请日:2014-02-27
Applicant: Amazon Technologies, Inc.
Inventor: Gustavo Eduardo Lopez , Siddharth Arora , Maciej Golonka
IPC: G06Q30/02
CPC classification number: G06Q30/0224
Abstract: The systems and processes discussed herein may identify, prioritize, and recommend new deals to consumers based at least in part on triggering events. A consumer may interact with a previously acquired deal, such as by redeeming the deal, requesting a refund for the deal, etc. Such user interaction may be determined to be a triggering event. Based on a type of the triggering event, the systems described herein may identify one or more new deals having characteristics similar to the previously acquired deal. The one or more new deals may be recommended to a user at the same time or at some time after the triggering event occurs via a website, an e-mail message, an application associated with a user device, a text message, or any other manner that may be used to communicate the new deals to the user.
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公开(公告)号:US09898788B1
公开(公告)日:2018-02-20
申请号:US14668593
申请日:2015-03-25
Applicant: Amazon Technologies, Inc.
Inventor: Canku Alp Calargun , Gustavo Eduardo Lopez
CPC classification number: G06Q50/12 , G06N5/04 , G06N99/005 , G06Q30/0635
Abstract: A meal ordering service is configured to receive takeout and delivery orders from customers and to place the orders with selected restaurants. Past information regarding a customer is collected and analyzed to create a predictive model of the customer's meal ordering habits. On any given day, the predictive model may be used, in light of the current and scheduled status of the customer, to predict a time of day that the customer may want to receive a meal and to also determine a restaurant from which the customer may want to receive the meal. The meal ordering service may be configured to automatically order a meal for the customer from the determined restaurant so that the meal arrives at or before the predicted time of day.
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公开(公告)号:US20160078523A1
公开(公告)日:2016-03-17
申请号:US14948023
申请日:2015-11-20
Applicant: Amazon Technologies, Inc.
Inventor: Gustavo Eduardo Lopez , Paul J. Walsh , Jason Aaron McMahon , Christian M. Ricci
CPC classification number: G06Q30/0635 , G06Q10/087 , G06Q30/0601
Abstract: This disclosure relates to order fulfillment by various fulfillment sources in a fulfillment network. A fulfillment source may be selected in the fulfillment network to fulfill an order before a contingency deadline. If the order is not fulfilled by the deadline, other fulfillment sources are used. Lead times for fulfillment of orders for products are adjusted for respective fulfillment sources based on their past fulfillment history.
Abstract translation: 本公开涉及履行网络中各种履行源的订单履行。 可以在履行网络中选择履行来源,以在紧急期限之前完成订单。 如果订单在期限内未达到,则使用其他履行来源。 根据过去的履行历史,针对各个履行来源调整产品订单的交货时间。
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公开(公告)号:US10445666B1
公开(公告)日:2019-10-15
申请号:US14206802
申请日:2014-03-12
Applicant: Amazon Technologies, Inc.
Inventor: Gustavo Eduardo Lopez , Aditya Balwant Pande , Wesley Shawn Davis
Abstract: This disclosure describes, in part, techniques and systems for creating personalized travel itineraries for users. The personalized itineraries may be created by analyzing prior travel preferences of a user to suggest various locations, activities, time frames, transportation, and/or lodging to the user. In some instance, the personalized itineraries may be created by comparing data associated with the user with data associated with a group of other users to determine a similarity between the user and other users within the group of other users. Where a similarity exists, an itinerary provider may create an itinerary for the user based on the travel preferences of the user and the prior behavior of the similar users.
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公开(公告)号:US10321263B1
公开(公告)日:2019-06-11
申请号:US15666952
申请日:2017-08-02
Applicant: Amazon Technologies, Inc.
Inventor: Ashraf AlKarmi , Yenchao Chua , Edward Hon , Praveen Krishnan , Gustavo Eduardo Lopez , Scott Pardy , Ruslan Anatolyevich Polyanskiy , Pawan Lata Uppuluri , Evan Weiss , Gregory Forrest Wright
Abstract: A customer may specify, via a mobile device, a current location at which the customer desires to receive a delivery order for food items, as well as a preferred amount of time for the delivery. In response, food items that are available to be delivered to the current location within the preferred amount of time are identified and presented to the customer, including food items to be prepared/provided by merchants and food items current being transported by deliverers within sophisticated food item containers and/or delivery containers. Upon receiving a selection of one or more food items, a delivery of the ordered/selected food items may be facilitated. For instance, one or more instructions to prepare and/or transport the food item(s) may be transmitted to devices of merchants and/or deliverers.
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公开(公告)号:US10147056B1
公开(公告)日:2018-12-04
申请号:US14738460
申请日:2015-06-12
Applicant: Amazon Technologies, Inc.
Inventor: Gustavo Eduardo Lopez
Abstract: Implicit occasion personalization is described. A service provider may access user data associated with users corresponding to the user devices. The user data may represent user interactions with a plurality of entities that each offer one or more services. The service provider may determine a user pattern associated with a user of the plurality of users and may determine, from the user pattern, that the user is likely to request and/or receive the one or more services on a date. The service provider may generate a recommendation including at least one of a deal associated with the one or more services or a reservation on the date to the individual user on or before the date.
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