ILECHUKWU, CHIDIEBUBE MARYCYNTHIA (2025) SMART INVENTORY AND SALES MANAGEMENT SYSTEM FOR HOTELS. Other thesis, GODFREY OKOYE UNIVERSITY, ENUGU.
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Abstract
The hospitality sector continues to face significant challenges in inventory management, including stock-taking errors, leakages, income loss, and inaccurate reporting due to reliance on manual systems that often fail to provide real-time updates or prevent theft. Motivated by these inefficiencies, this study introduces a smart inventory and sales management system specifically designed for the hotel industry to improve operational accuracy and accountability. The research addresses the core problem of unreliable manual stock management by proposing an AI-powered digital solution capable of real-time monitoring and predictive analysis. The system was developed using ReactJS for the frontend, Django for backend logic, SQLite for database storage, and Python-based machine learning modules for forecasting consumption patterns. It features role-based dashboards for administrators, inventory officers, and sales personnel, each with access to specific data, alerts, and reports. Key results show that the AI model achieved a 91.6% forecast accuracy in predicting stock needs, enabling automatic low-stock alerts and smarter restocking decisions. Integration with hotel and POS systems demonstrated improved synchronization across departments, reduced inventory discrepancies, and faster staff response. Ultimately, the system contributes to more intelligent stock management, enhances sales transparency, and supports data-driven decision-making in hotel operations, offering a scalable solution for modernizing inventory workflows.
| Item Type: | Thesis (Other) |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Natural and Applied Sciences |
| Depositing User: | Uchenna Eneogwe |
| Date Deposited: | 19 Jun 2026 14:48 |
| Last Modified: | 19 Jun 2026 14:48 |
| URI: | http://eprints.gouni.edu.ng/id/eprint/5850 |
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