Retailynx: An AI-Powered Voice-Based Smart Retail Management System

Retailynx is an AI-powered smart retail management system designed to automate bookkeeping and billing processes for small and medium-sized shopkeepers. The system integrates voice recognition, artificial intelligence, and offline capabilities to simplify financial record management. Unlike traditional bookkeeping applications that rely on manual data entry, Retailynx enables users to perform operations such as billing, inventory management, and credit (Udhar) tracking using natural voice commands in local languages. The platform supports multilingual interaction, making it accessible to non-technical users. The system architecture includes modules for Product Management, Billing, Inventory Control, Report Generation, and AI Voice Assistance. Additionally, AI-driven analytics provide insights into sales trends, customer behavior, and business performance. This research aims to bridge the gap between traditional manual bookkeeping and intelligent digital systems by providing an efficient, user-friendly, and accessible solution for small retailers.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-26
DOI
https://doi.org/10.5281/zenodo.19239698
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Retailynx: An AI-Powered Voice-Based Smart Retail Management System

Himanshu S Girase, Alpesh Kumavat, Atharv Ingale, Saurabh Kadu
Zenodo (CERN European Organization for Nuclear Research)
AI in Service Interactions
article

Retailynx: An AI-Powered Voice-Based Smart Retail Management System

Himanshu S Girase, Alpesh Kumavat, Atharv Ingale, Saurabh Kadu
article en

Abstract

Retailynx is an AI-powered smart retail management system designed to automate bookkeeping and billing processes for small and medium-sized shopkeepers. The system integrates voice recognition, artificial intelligence, and offline capabilities to simplify financial record management. Unlike traditional bookkeeping applications that rely on manual data entry, Retailynx enables users to perform operations such as billing, inventory management, and credit (Udhar) tracking using natural voice commands in local languages. The platform supports multilingual interaction, making it accessible to non-technical users. The system architecture includes modules for Product Management, Billing, Inventory Control, Report Generation, and AI Voice Assistance. Additionally, AI-driven analytics provide insights into sales trends, customer behavior, and business performance. This research aims to bridge the gap between traditional manual bookkeeping and intelligent digital systems by providing an efficient, user-friendly, and accessible solution for small retailers.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 8%
AI in Service Interactions
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Retailynx: An AI-Powered Voice-Based Smart Retail Management System — Himanshu S Girase, Alpesh Kumavat, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS