Magdalena, Kharisa Arta (2026) INVENTORY MANAGMENT SYSTEM USING AI VOICE CONTROL FOR RETAIL STORE. Diploma thesis, Politeknik Negeri Sriwijaya.
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Abstract
Inventory management plays a crucial role in ensuring the operational efficiency and profitability of retail stores. Traditional inventory systems typically rely on manual input, which is time-consuming and prone to human error. To address these issues, this research proposes an inventory management system that integrates Artificial Intelligence (AI) with voice control technology. The system allows users to manage inventory through voice commands such as checking stock,78h updating quantities, and generating reports. The system utilizes Natural Language Processing (NLP) for understanding user commands and applies voice recognition models to accurately interpret spoken inputs. A comparative analysis was conducted to evaluate system performance. The results show that the proposed system achieves 92% accuracy invoice command recognition, reduces manual input time by 60%, and improves inventory update accuracy. The integration of voice control in inventory systems offers increased accessibility, better efficiency, and reduces operational delays in retail environments.
| Item Type: | Thesis (Diploma) |
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| Uncontrolled Keywords: | Inventory Management, Voice Control, Artificial Intelligence, Natural Language Processing, Retail Technology |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Informatics Management > Undergraduate Theses |
| Depositing User: | Pustaka Manajemen Informatika |
| Date Deposited: | 09 Apr 2026 08:41 |
| Last Modified: | 09 Apr 2026 08:41 |
| URI: | http://eprints.polsri.ac.id/id/eprint/22452 |
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