Bottomline Technologies. has filed a patent for an apparatus designed to match payments from a remitter to multiple invoices generated by a beneficiary against invoices of customers associated with the remitter. The apparatus includes modules for receiving payments, displaying total amounts, listing invoices, and splitting payments to match invoice amounts accurately. GlobalData’s report on Bottomline Technologies gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Bottomline Technologies, Dynamic storage rebalancing was a key innovation area identified from patents. Bottomline Technologies's grant share as of January 2024 was 52%. Grant share is based on the ratio of number of grants to total number of patents.
Payment matching apparatus for multiple invoices from different customers
The patent application (Publication Number: US20230394539A1) describes an apparatus and method for matching payments received from a remitter for multiple invoices generated by a beneficiary against invoices of various customers associated with the remitter. The apparatus includes a storage unit, a graphical user interface, and a processing unit that work together to process computer program instructions. These instructions involve modules such as payment receive, total amount display, customer account listing, and split payment to accurately allocate received payments to corresponding customer invoices. Additionally, the apparatus includes a notification module to inform the remitter about payment receipts and an allocation module to display the allocated amounts.
Furthermore, the patent application details a method and a non-transitory computer-readable storage medium with similar functionalities as the apparatus. The method involves storing computer program instructions, displaying graphical outputs, and processing the instructions to match payments with invoices accurately. Similar to the apparatus, the method includes modules for payment receiving, total amount display, customer account listing, split payment allocation, notification to the remitter, and displaying allocated amounts. The non-transitory computer-readable storage medium stores these instructions and facilitates the matching process. Additionally, the method and storage medium incorporate a machine-learning artificial intelligence neural network within the split payment module to automate the splitting of received payments into amounts that match customer invoices, enhancing efficiency and accuracy in the payment matching process.
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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.
