Maximizing the Profit in a Digital Payment Platform through Multi-variable Optimization of the Fee, Incentives, Marketing, and Operations

The paper describes a deterministic optimization model for maximizing monthly profit in a digital payment system by optimizing transaction fees, incentives, marketing allocations, and transaction handling time, using Golden Section, Line Search, Newton, and Quasi-Newton methods across four business scenarios.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-25
DOI
https://doi.org/10.5281/zenodo.22096547
Primary Topic
Supply Chain and Inventory Management
Type
preprint
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preprint

Maximizing the Profit in a Digital Payment Platform through Multi-variable Optimization of the Fee, Incentives, Marketing, and Operations

Nishant Kumar, Sanidhya Mittal, Ayush Singh, Labiba .
Zenodo (CERN European Organization for Nuclear Research)
Supply Chain and Inventory Management
preprint

Maximizing the Profit in a Digital Payment Platform through Multi-variable Optimization of the Fee, Incentives, Marketing, and Operations

Nishant Kumar, Sanidhya Mittal, Ayush Singh, Labiba .
preprint en

Abstract

The paper describes a deterministic optimization model for maximizing monthly profit in a digital payment system by optimizing transaction fees, incentives, marketing allocations, and transaction handling time, using Golden Section, Line Search, Newton, and Quasi-Newton methods across four business scenarios.

Zenodo (CERN European Organization for Nuclear Research)
Indian Institute of Technology Jodhpur (IN)
Supply Chain and Inventory Management
DOIOpen Access PDFOpenAlex
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