International Business Machines Corporation

Jialin Li

Pradeep K Nanjundaswamy

Danai Tengtrakool

Srikanth Sundararajan

Leho Nigul

Matthew T Pellas

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.

Transaction with security integrity and permission management

Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: obtaining a request for in venue pickup of an article by a customer user, the request specifying an article identifier for the article; obtaining from a data repository article dimensional information of the article; evaluating loading of the article into a transport apparatus associated to the customer user based on the article dimensional information and transport apparatus dimensional information of the transport apparatus; and outputting a notification to the customer user based on the evaluating.

Pickup article cognitive fitment

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.

Leveraging shoppers for store pick up

Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: receiving a request from a customer user for reception of an item by the customer user at a retail venue and data specifying a current physical location of the customer user relative to the retail venue; predicting based on the current physical location of the customer user and historical data of the customer user a time of arrival of the customer user at the retail venue; and outputting a notification to the customer user based on the predicting, the notification including timing information of the reception.

Cognitive article reception

Methods, computer program products, and systems are presented. The methods include, for instance: determining that an item misplaced in a venue may be retrieved by one or more customer. A candidate customer may be identified and rewards that may be offered are compiled. The candidate customer is selected as one who is predicted to be most likely to respond to a request for retrieval, and a reward is selected for cost effectiveness in retrieving the item. The request to retrieve the item is sent to the candidate customer.

Customer-assisted item retrieval

Managing application programming interface (API) execution logging is provided. It is determined whether a log trigger definition corresponding to a log include definition is satisfied. In response to determining that the log trigger definition corresponding to the log include definition is satisfied, an execution log of the API is transferred from memory to a file in a storage device. The execution log of the API and a set of API definitions in the file is analyzed using natural language processing to identify a usability context pattern corresponding to the API. A specific set of API log definitions for the API is recommended based on the identified usability context pattern corresponding to the API.

Cognitive in-memory API logging

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.

Method, computer program product, and system for precise real time marketing of a product

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.

Dynamically adjusting a safety stock level

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.

Intelligently determining buying online and picking up in store based on commute patterns of connections in a social network and store parameters

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.

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.

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.

Growing community of inventors

Westford, MA, United States of America

Jialin Li