<p>The enhancement of shelf life of foods is one of the core objectives in the contemporary food supply chain so as to reduce wastages, sustain quality, freshness, and the safety of consumers. The proposed approach outlines an emergent paradigm comprising Intelligent Packaging Technology (IPT) and sensor technologies along with data processing and real-time monitoring to extend shelf-life and provide the best storage environments to foods. The inputs are always monitored and analyzed to decide on the stagnation of freshness as well as predicting the spoilage. A multi-architecture is proposed that includes sensor data acquisition, a machine learning-powered decision-making, and communication for data transmission to cloud-based dashboards available to the stakeholders along the supply chain. Smart indicators like Time–Temperature Indicators (TTIs), Freshness Indicators and Radio-Frequency Identification (RFID) tags are employed with the aim of giving dynamic and visible readings on the status of a product. The system offers dynamic delivery of notice and automatic adjustment of the storage or transportation conditions to ensure maximum freshness. Compared to conventional packaging (control group), the proposed intelligent packaging framework achieved a 35% improvement in shelf life and a spoilage prediction accuracy of 94.8% under controlled experimental conditions, the proposed intelligent packaging framework enhances sustainable goods manufacturing through reduction of losses that are caused by spoilage.</p>