A Review of Technological Advancements and Operational Improvements in IoT for Retail Inventory Management

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IoT-based systems improve inventory management accuracy and efficiency, and reduce waste across industries.
Key findings indicate that predictive analytics optimize stock levels, enhancing supply chain responsiveness significantly.
The proposed IoT-enabled system utilizes LoRa technology to predict stock levels, addressing understocking and overstocking issues.
Integration of blockchain ensures data security and transparency, promising to enhance inventory record integrity.

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Review highlights improved inventory efficiency through IoT, predictive analytics, and blockchain integration in retail.

Rashid et al. (2025) studied this question.

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