Strengthening Customer Loyalty with Blockchain and Smart Contracts

As the Next4biz R&D team, we are sharing the citation details of our study Yeni Nesil Sadakat Programlarında Blokzincir Ve Akıllı Sözleşmeler ile Müşteri Bağlılığının Artırılması (Strengthening Customer Loyalty with Blockchain and Smart Contracts in Next-Generation Loyalty Programs), presented at the 3rd International Topkapı Congress (2024).

Publication details

This post carries the citation and project information of the work cited below; the paper's own abstract is not yet available in the sources we could access.

Paper
Yeni Nesil Sadakat Programlarında Blokzincir Ve Akıllı Sözleşmeler ile Müşteri Bağlılığının Artırılması
Presented at
3. Uluslararası Topkapı Bilimsel Araştırmalarda Güncel Gelişmeler Kongresi
Presentation date
May 1, 2024

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In traditional loyalty programs, points remain inside the closed system of a single brand; the verifiability of transactions and the transparency between stakeholders are limited. This paper, which by its title addresses the same subject as our R&D team's PointXchange project, sets out a proposal for a next-generation loyalty network based on blockchain and smart contracts within the Next4biz CRM ecosystem. The aim is to strengthen customer loyalty by drawing on the immutability, verifiability and decentralization that a distributed architecture provides.

According to our company's R&D project overview, the design rests on a local copy of Ethereum running on a private network. The network operates with proof of authority (PoA) consensus, which allows only authorized addresses to validate blocks. Transactions are monitored with the open-source Epirus block explorer, and the health of the network is tracked with Grafana and Prometheus. Interaction with the CRM front end is established over HTTP requests and the WebSocket protocol. Rewards are represented by the N4B token, issued in accordance with the ERC-20 standard.

Users earn points by proving their purchases through smart contracts; they can convert these points into products and services, or exchange them for the points of another brand in the ecosystem and discover new products and services.

The paper was presented at the 3rd International Topkapı Congress on Current Developments in Scientific Research (it appears in our publication list with the date May 1, 2024). Because the paper's own abstract, author list and experimental findings are not present in the sources we were able to access, this text is based on the company's internal presentation of the project; no numerical results are given.

Prof. Dr. Akhan Akbulut
Prof. Dr. Akhan Akbulut
Professor Doctor Akhan Akbulut worked in the Computer Engineering departments of Istanbul Kültür University and NC State University. He serves institutions such as TÜBİTAK, Ministry of Industry and Technology, TÜSEB, and KOSGEB. He researches Distributed Systems and Artificial Intelligence and has over 100 international journal articles and conference proceedings from his work.