Automated Gratuity Calculation in Commercial Transactions
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Solution Overview
Problem
Conventional methods for processing commercial transactions involving gratuities, such as those in restaurants, are inefficient as they require customers to wait for an intermediate receipt, manually calculate tips, and manually write them, prolonging the transaction time and causing frustration.
Innovation Solution
A web application that allows users to input gratuity amounts and merchant information, calculates the total amount, and submits it for payment processing, including options for authentication and rule-based gratuity determination, enabling efficient and automated gratuity inclusion in commercial transactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional manual tip calculation method is used, then customer can control tip amount, but transaction time increases and customer convenience deteriorates
Solution Approach 1:
The system pre-calculates tip amounts based on stored gratuity rules and merchant information before the customer needs to complete the transaction. The processor automatically determines the gratuity amount by retrieving pre-configured rules and applying them to the transaction total, eliminating the need for manual calculation at the point of sale.
Solution Approach 2:
The system enables self-service by automatically handling the tip calculation and receipt generation process without requiring customer intervention. The web application automatically computes the gratuity amount, generates the final receipt with tip details, and processes the payment, allowing customers to simply authorize the transaction without manual calculation or writing.
2Productivity
If automated gratuity calculation is implemented, then transaction time is reduced, but system complexity increases
Solution Approach 1:
The web application serves multiple functions within a single integrated system: it displays transaction information, calculates gratuities based on stored rules, generates receipts, and processes payments. By consolidating these functions into one universal application, the system avoids the complexity of multiple separate systems while maintaining high processing efficiency.
Solution Approach 2:
The system uses pre-stored gratuity rules and merchant information as templates or copies that can be rapidly retrieved and applied to transactions. Instead of complex real-time calculations, the system retrieves pre-configured gratuity amounts and merchant details from storage, significantly reducing processing complexity and time.
3Ease of operation
If manual tip entry on intermediate receipt is required, then customer can specify exact tip amount, but operation simplicity deteriorates
Solution Approach 1:
The system performs preliminary action by pre-determining the gratuity amount based on stored rules and merchant information before the customer needs to complete the transaction. The processor automatically calculates the tip amount and includes it in the final receipt, eliminating the need for customers to manually calculate or write tip amounts.
Solution Approach 2:
The system provides feedback by automatically generating and displaying the final receipt with the calculated tip amount and total payment details. This feedback mechanism shows customers the complete transaction summary including the automated tip calculation, eliminating the need for manual entry while maintaining transparency.
Data Source
AI summary
Systems and methods for efficiently conducting a commercial transaction involving a gratuity are provided. The systems and methods enable users to set tipping preferences in advance so as to be applied automatically during subsequent commercial transactions.