The swift digitalizing nature of the retail economies has compounded the complexity, volume and speed of financial transactions revealing critical constraints in the accounting system in the ledger format. Manual reconciliation process, centralized databases and regular auditing practices are not always effective in providing real-time transparency, timely reporting and effective detection of fraud. To deal with these, the proposed research comes up with an accounting model that incorporates blockchain that aims at promoting automation, trust and auditability in the contemporary retail settings. The experiment also uses simulated data in retail transactions of 120,000 transactions and evaluates the performance of the system based on transaction processing efficiency, time taken to reconcile completion transaction, audit effectiveness, and scalability as important measures. It has been shown that the proposed model has the average transaction processing time of 125 ms, whereas in traditional systems it is 310 ms, and can handle 1,700 transactions per second with a failure rate of 0.6 only. Continuous auditing ensures that the time taken to reconcile a transaction becomes less than 5 minutes and fraud detection level is 98.9% accurate. The level of automation is 96 percent leading to a predicted cost saving in the yearly accounting operations of 34 percent. These results support the idea that the deployment of blockchain technology in accounting systems can enhance efficiency, transparency, and governance to the greatest extent. The suggested model provides a scaled and future proof accounting model that facilitates a smooth digital transformation of retail economies.