Toyota Motor had 131 patents in ecommerce during Q3 2023. These patents include technologies for predicting carbon dioxide emissions during package redelivery, determining alternate destinations based on product availability, generating dispatch plans for medical checkup transportation, deciding payment ratios for shared vehicle maintenance costs, and planning maintenance for returnable containers. GlobalData’s report on Toyota Motor gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
Smarter leaders trust GlobalData
Discover B2B Marketing That Performs
Combine business intelligence and editorial excellence to reach engaged professionals across 36 leading media platforms.
Toyota Motor grant share with ecommerce as a theme is 54% in Q3 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Information processing device, information processing method, and storage medium (Patent ID: US20230274223A1)
The present disclosure is about an information processing device that calculates the predicted emission amount of carbon dioxide by a vehicle delivering a package to a user. The device calculates the emission amount for each of the first time zones in which the package can be redelivered to the user based on the scheduled route of the vehicle. The device may also transmit information on the emission amount to a user's terminal and recommend a second time zone for redelivery based on the predicted emission amount.
The information processing device includes a controller that executes the calculation of the emission amount based on the scheduled route of the delivering vehicle. The emission amount is predicted for each of the first time zones in which the package can be redelivered. The device may further transmit this emission amount information to a terminal related to the user. Additionally, the controller can decide a recommended second time zone for redelivery based on the predicted emission amount for each of the first time zones. The second time zone is chosen to minimize the emission amount.
The device calculates the emission amount for each first time zone based on the distance the vehicle is predicted to travel for redelivery in each time zone. The first information used for calculation includes the scheduled route of the vehicle after a date when the user is unable to accept the package. The first time zones include the time zone in which the package can be redelivered after the user is unable to accept it. The emission amount is calculated for each first time zone after the date when the user is unable to accept the package.
In case the travel scheduled route of the vehicle is changed, the device can update the first information and recalculate the emission amount based on the updated information.
Overall, the information processing device calculates the predicted emission amount of carbon dioxide for redelivery of a package in different time zones based on the scheduled route of the delivering vehicle. It provides this information to the user and recommends a time zone with minimized emission amount for redelivery.
To know more about GlobalData’s detailed insights on Toyota Motor, buy the report here.
Data Insights
From
The gold standard of business intelligence.
Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.
GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
