Abstract: A method, system and computer program product are disclosed for using shoppers for in-venue pick up of online orders. In an embodiment, the method comprises determining that an online order has been placed by a first shopper for a product in a venue, identifying a second shopper in a specified area to get the product, sending to the second shopper a message including a promotional offer in exchange for getting the product, receiving the product from the second shopper, and in response to receiving the product from the second shopper, honoring the promotional offer. In an embodiment, the second shopper is identified in a specified area relative to the venue. In an embodiment, the method further comprises determining a cost associated with getting the product in the store; and generating the promotional offer based, at least in part, on this determined cost associated with getting the product.

Abstract: A computer system for determining buying online and picking up in store. A computer receives from a shopper a request for buying online and picking up in store. The computer parses stores carrying an item purchased online and connections of the shopper in a social network. The computer provides the shopper with a list of one or more connections for picking up the item for the shopper. The computer sends to one of the one or more connections a token for picking up the item and information of a store where the item is picked up, after the shopper chooses the one of the one or more connections for picking up the item. The computer sends to the shopper a notification, after the item is picked up by the one of the one or more connections for picking up the item.

Abstract: A computer program product for determining buying online and picking up in store. A computer receives from a shopper a request for buying online and picking up in store. The computer parses stores carrying an item purchased online and connections of the shopper in a social network. The computer provides the shopper with a list of one or more connections for picking up the item for the shopper. The computer sends to one of the one or more connections a token for picking up the item and information of a store where the item is picked up, after the shopper chooses the one of the one or more connections for picking up the item. The computer sends to the shopper a notification, after the item is picked up by the one of the one or more connections for picking up the item.

Abstract: A method for determining buying online and picking up in store. A computer receives from a shopper a request for buying online and picking up in store. The computer parses stores carrying an item purchased online and connections of the shopper in a social network. The computer provides the shopper with a list of one or more connections for picking up the item for the shopper. The computer sends to one of the one or more connections a token for picking up the item and information of a store where the item is picked up, after the shopper chooses the one of the one or more connections for picking up the item. The computer sends to the shopper a notification, after the item is picked up by the one of the one or more connections for picking up the item.

Abstract: In response to adding an item onto an on-line gift registry for publication to viewers as a requested gift item for a gift recipient, aspects determine whether sensitive personal information about the gift recipient is indicated by an item identity attribute or a generic category applicable to the item. In response to determining that the sensitive personal information is thereby indicated, aspects generate a publication of the item to the gift registry that provides a selective item identification that omits the item identity attribute, or provides an identification of the generic category applicable to the item. In response to a purchase of the item as a gift for the gift recipient by a purchasing viewer of the generated gift registry publication, aspects give purchase information to the purchasing viewer that confirms the purchase transaction and conveys either of the selective item identification and the generic category identification.

Abstract: Methods, computer program products, and systems are presented and can include for instance: The method can include for example, establishing a permission that authorizes a second shopper to act on behalf of a first shopper, the first shopper having a profile that includes first shopper information stored in a secure computing environment; and performing a transaction based on one or more input of the second shopper, the transaction using content of the first shopper information stored in a secure computing environment, wherein the second shopper is restricted from accessing one or more information item of the first shopper information stored in a secure computing environment.

Abstract: An approach is provided for marketing a product in real time. A presence of a social contact in a physical store is determined. The contact is connected to a shopper by a social networking service. Based on contextual information about a shopper, it is determined that the shopper intends to purchase the product. A promotion of the product is sent to the shopper. The promotion specifies an online purchase of the product and a selection of a delivery option by which the contact picks up the purchased product at the store. An indication of the online purchase and the selection of the delivery option are received. The contact is notified to pick up the purchased product at the store on behalf of the shopper. A verification that the contact picked up the product is received. The shopper avoids paying a shipping fee and avoids visiting the store.

Abstract: A method, a computer program product, and a computer system for determining buying online and picking up in store. A computer receives from a shopper a request for buying online and picking up in store. The computer parses stores carrying an item purchased online and connections of the shopper in a social network. The computer provides the shopper with a list of one or more connections for picking up the item for the shopper. The computer sends to one of the one or more connections a token for picking up the item and information of a store where the item is picked up, after the shopper chooses the one of the one or more connections for picking up the item. The computer sends to the shopper a notification, after the item is picked up by the one of the one or more connections for picking up the item.

Abstract: A method for determining buying online and picking up in store. A computer receives from a shopper a request for buying online and picking up in store. The computer parses stores carrying an item purchased online and connections of the shopper in a social network. The computer provides the shopper with a list of one or more connections for picking up the item for the shopper. The computer sends to one of the one or more connections a token for picking up the item and information of a store where the item is picked up, after the shopper chooses the one of the one or more connections for picking up the item. The computer sends to the shopper a notification, after the item is picked up by the one of the one or more connections for picking up the item.

Abstract: A computer-implemented method includes identifying a return item associated with a return item location; identifying a first profile associated with the return item and a social return availability database; and determining one or more return suggestions based on the return item location and one or more additional profiles of the social return availability database. The one or one or more return suggestions suggest returning the return item by the one or more additional profiles. The computer-implemented method further includes presenting, to the first profile, the one or more return suggestions. A corresponding computer program product and computer system are also disclosed.

Abstract: A computer-implemented method includes identifying a return item associated with a return item location; identifying a first profile associated with the return item and a social return availability database; and determining one or more return suggestions based on the return item location and one or more additional profiles of the social return availability database. The one or one or more return suggestions suggest returning the return item by the one or more additional profiles. The computer-implemented method further includes presenting, to the first profile, the one or more return suggestions.

Abstract: A method, system, and/or computer program product dynamically controls an available inventory level for a particular product. An in-store shopper identification receiver receives an in-store shopper's identification signal from an in-store shopper identification transmitter in a shopper's personal electronic device. Based on the in-store shopper being in the physical store, a local area network connection between the shopper's personal electronic device and a local area network in the physical store is activated, thus enabling a retrieval of an in-store shopper's wish list stored on the shopper's personal electronic device. The available inventory level for the particular product on the in-store shopper's wish list is then adjusted according to the presence of the in-store shopper in the store and the contents of the in-store shopper's wish list.

Abstract: The present disclosure provides a control system, a control method and a control device of an intelligent robot based on artificial intelligence. The system includes: a decision engine, disposed on the intelligent robot, and configured to generate cloud processing information according to a multimodal input signal, and to send the cloud processing information; and a cloud control center, configured to receive the cloud processing information, to obtain a user demand by analyzing the cloud processing information, and to return the user demand, such that the decision engine controls the intelligent robot according to at least one of the user demand and the multimodal input signal. The control system may make full use of great online information, enhance the capability of the intelligent robot for storage, calculation and processing complex decisions, and meanwhile may respond to the user's instruction timely, rapidly and intelligently, and improve the user experience.

Abstract: The present disclosure provides a human-computer interactive method and apparatus based on artificial intelligence, and a terminal device. The human-computer interactive method based on artificial intelligence includes: receiving a multimodal input signal, the multimodal input signal including at least one of a speech signal, an image signal and an environmental sensor signal; determining an intention of a user according to the multimodal input signal; processing the intention of the user to obtain a processing result, and feeding back the processing result to the user.

Abstract: This invention discloses a method of fabricating color jacquard fabric, comprising the processes of design and fabrication of pattern card, loom preparation, looming and weaving. The steps of design and fabrication of pattern card are: reading target image for jacquard into a computer; adjusting the image and setting parameters; selecting pixel value according to image dimensions; modifying the image; dividing the modified target image into motif image and auxiliary pattern around the motif image, designing and making the pattern card of motif image and auxiliary pattern of different design characteristics by jacquard design software; and finally combining said two pattern cards into a pattern card that represents the image and pattern of different characteristics in one fabric with corresponding warp and filling yarns. The invention can provide vivid lifelike picture of fabric, integrating rich color representation and artful pattern.

Abstract: This invention discloses a method of fabricating color jacquard fabric, comprising the processes of design and fabrication of pattern card, loom preparation, looming and weaving. The steps of design and fabrication of pattern card are: reading target image for jacquard into a computer; adjusting the image and setting parameters; selecting pixel value according to image dimensions; modifying the image; dividing the modified target image into motif image and auxiliary pattern around the motif image, designing and making the pattern card of motif image and auxiliary pattern of different design characteristics by jacquard design software; and finally combining said two pattern cards into a pattern card that represents the image and pattern of different characteristics in one fabric with corresponding warp and filling yarns. The invention can provide vivid lifelike picture of fabric, integrating rich color representation and artful pattern.