Online Purchase Autofill Plug-In With Secure Domain Validation
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Solution Overview
Problem
The process of entering transaction details in online purchases is time-consuming, leading to abandoned transactions, and existing systems lack efficient autofill solutions that prioritize security and data analytics for transaction account issuers.
Innovation Solution
An online purchase autofill plug-in that utilizes a browser extension with engines for autofilling transaction data, including a whitelist, fuzzy logic, and machine learning to identify and populate form fields securely, while adapting to different online forms and domains.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual entry of transaction details is used, then data accuracy is maintained, but transaction time increases significantly
Solution Approach 1:
The system performs preliminary actions by storing transaction account information, address details, and other purchase data in advance. When a user initiates a transaction, the autofill plug-in retrieves and populates form fields automatically using pre-stored data, eliminating the need for manual re-entry and significantly reducing transaction completion time.
Solution Approach 2:
The autofill plug-in creates and uses copies of user transaction data stored in secure databases. Instead of requiring users to re-enter original information, the system generates accurate copies of address, account, and contact details to populate online forms automatically, maintaining data accuracy while improving transaction speed.
2Productivity
If autofill functionality is implemented, then transaction speed improves, but security risks increase
Solution Approach 1:
The autofill plug-in acts as a trusted intermediary between the user's stored data and the transaction form. It securely manages authentication credentials and transaction information, controlling what data is exposed to third-party websites. The plug-in uses industry-standard encryption and security protocols to protect user information while enabling fast autofill functionality.
Solution Approach 2:
The system implements self-service security measures including automatic detection of secure versus non-secure sites, automated authentication processes, and built-in validation to prevent fraudulent transactions. Users configure security preferences and the system automatically applies appropriate security measures based on the transaction context, maintaining high security standards while enabling rapid processing.
3Adaptability or versatility
If comprehensive data collection is performed, then targeted advertising capability improves, but user privacy concerns increase
Solution Approach 1:
The system applies different data collection and processing approaches based on the specific context and user preferences. Sensitive information such as full addresses and social security numbers are handled differently from less sensitive data like purchase history and browsing preferences. The plug-in allows users to control which types of data are collected and shared, enabling targeted advertising while protecting user privacy through differentiated data handling.
Data Source
AI summary
Disclosed are various embodiments for an online purchase autofill plug-in. Various embodiments can access an electronic form from a domain and then scan the electronic form for a plurality of fields. Various embodiments can receive data from an API engine which can correspond to at least one field of the plurality of fields of the electronic form. Various embodiments can then populate the at least one field in the electronic form using the data from the API engine. In at least some embodiments, the data from the API engine can be account information for a user, which can be used to fill out a payment form.