In one aspect, an example methodology implementing the disclosed techniques includes, by a product subscription service, receiving information regarding a hardware asset being returned at an end of a subscription and predicting, using a first machine learning (ML) model, whether the hardware asset has reached EOL. The method also includes, responsive to predicting that the hardware asset has reached EOL, creating, by the product subscription service, a work order to dispatch an eco-partner. The method may further include, by the product subscription service, responsive to predicting that the hardware asset has not reached EOL, predicting, using a second ML model, one or more new subscription orders matching the hardware asset and recommending the one or more matching new subscription orders as possible fits for the hardware asset.

In one aspect, an example methodology implementing the disclosed techniques includes, by a product subscription service, receiving information regarding a hardware asset being returned at an end of a subscription and predicting, using a first machine learning (ML) model, whether the hardware asset has reached EOL. The method also includes, responsive to predicting that the hardware asset has reached EOL, creating, by the product subscription service, a work order to dispatch an eco-partner. The method may further include, by the product subscription service, responsive to predicting that the hardware asset has not reached EOL, predicting, using a second ML model, one or more new subscription orders matching the hardware asset and recommending the one or more matching new subscription orders as possible fits for the hardware asset.

Methods of supporting mobile application-based bicycle repair, warranty claim processing, and trip analysis include storing a bicycle serial number in association with a user identifier identifying a user of a mobile application and receiving bicycle trip data from a mobile communication device having the mobile application installed thereon, the bicycle trip data derived by the mobile application based at least in part on sensor data collected from one or more sensors disposed on a bicycle. The bicycle trip data may be associated with the bicycle serial number based on the association between the bicycle serial number and the user identifier identifying the user of the mobile application. The bicycle trip data may, for example, be provided to a bicycle repair service provider capable of deriving bicycle repair service information therefrom, which may be provided to the mobile communication device and displayable by the mobile application.

Methods of supporting mobile application-based bicycle repair, warranty claim processing, and trip analysis include storing a bicycle serial number in association with a user identifier identifying a user of a mobile application and receiving bicycle trip data from a mobile communication device having the mobile application installed thereon, the bicycle trip data derived by the mobile application based at least in part on sensor data collected from one or more sensors disposed on a bicycle. The bicycle trip data may be associated with the bicycle serial number based on the association between the bicycle serial number and the user identifier identifying the user of the mobile application. The bicycle trip data may, for example, be provided to a bicycle repair service provider capable of deriving bicycle repair service information therefrom, which may be provided to the mobile communication device and displayable by the mobile application.

A method for food package assessment, said method comprising determining an identity associated to a device linked to an operator to perform one or several tasks related to the food package assessment, transmitting instructions related to the food package assessment to the device associated with the identity, receiving measurements from the device in response to the instructions, and determining food package assessment data based on the measurements.

An autonomous and non-autonomous vehicle tire imaging and inspection system and methods thereof installed onboard a vehicle providing frequent status for inner and outer tire sidewalls, tire tread wear and tread depth, recorded in memory, transmitted to an onboard diagnostics unit, displayed on a dashboard and optionally transmitted to a network. Autonomous and non-autonomous vehicle vehicles may require passing a safety compliance inspection before driving and receive an insurance compliance approval to operate said vehicles.

A method, computer system, and a computer program product for product safety is provided. The present invention may include scanning a product inventory. The present invention may include classifying one or more products within the product inventory based on an expiration evaluation. The present invention may include applying a price discount or a display modification notification based on a classification of the one or more products.

A server device stores data sent from a client device together with data identification information and stakeholder identification information that identifies a stakeholder operating the client device. A controller determines a number of stakeholders included in the data, and, in a case where the data stores information on stakeholders of a plurality of n organizations, leaves information on a specific stakeholder unrewritten and rewrites information of other stakeholders with optional information to generate n types of management data. The controller generates first hash value for each of the n types of management data, and controls n transactions including the first hash value to be issued to a blockchain, and transmits the transaction. The controller returns, in response to a browsing request specifying the data identification information and the stakeholder identification information from the client device, management data corresponding to the stakeholder identification information among the n types of management data.

A method for using infrared data analysis and image analysis for robust action recognition in a retail environment may include receiving infrared data captured using one or more infrared sensors from a retail environment; receiving at least one image captured using at least one image sensor from the retail environment; analyzing the infrared data and the at least one image to detect an action performed in the retail environment; and providing information based on the detected action.

A method for triggering image processing based on infrared data analysis may include receiving first infrared input data captured using a first group of infrared sensors; analyzing the first infrared input data to detect an engagement of a person with a retail shelf; receiving second infrared input data captured using a second group of infrared sensors after the capturing of the first infrared input data; analyzing the second infrared input data to determine a completion of the engagement of the person with the retail shelf; in response to the determined completion of the engagement of the person with the retail shelf, analyzing an image of the retail shelf captured using an image sensor after the completion of the engagement of the person with the retail shelf; and using the analysis of the image to determine a state of the retail shelf.