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@article{196420,
        author = {Dr. S. N. Sarda and Vishant S. Manwar and Chaitanya N. Mahajan and Simran V. Chaware and Shashank V. Jumade},
        title = {QuikCart: A Mobile-Based Intelligent Real-Time Billing System for Smart Retail Automation with Administrative Verification},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {4050-4055},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196420},
        abstract = {The traditional checkout systems used in the retail sector are no longer suitable to address the needs of the contemporary consumer who desires to have a short waiting period and an easy time with the process of transacting. The need of centralized billing counters creates systemic bottlenecks such as long queues, high staffing needs, and high susceptibility to manual scanning errors. This paper presents QuikCart, a mobile based smart cart system that allows customers to scan items in the shopping cart and keep a virtual cart running in store, in effect transforming the billing experience into a simultaneous shopping experience. The system runs on Android with Kotlin and connects to a central MySQL database to retrieve the live product information and store the records of transactions. This is a unique aspect of QuikCart: scanning performed by customers is supported by a two-level architecture, where the administrative verification stage is obligatory, whereby the contents of a shopper cart are physically validated by the store personnel before the final bill is approved and printed. This architecture mitigates a major weakness in all-automated self-checkout deployments (the lack of tamper detection) without compromising on the efficiency advantages of mobile-led billing. A simulated retail setting where QuikCart was empirically tested shows that the system shortens the average checkout period by about 67 per cent, decreases the rate of billing errors by more than 90 per cent, and greatly decreases the number of people waiting at payment counters. The modular framework supports the future addition of digital payment support, cloud implementation, and fraud detection with machine learning. The suggested system is a viable and cost-efficient way to smarter retailing.},
        keywords = {Real-Time Billing; Mobile Self-Checkout; Retail Automation; Android Application; Kotlin; MySQL; Administrative Verification; Smart Retail},
        month = {April},
        }