Status : Verified
| Personal Name | Biando, Joven B. |
|---|---|
| Resource Title | Technology foresight on the future of AI-driven automation for the cold storage warehousing and logistics systems in the National Capital Region, Philippines |
| Date Issued | 21 May 2026 |
| Abstract | This study was conducted to explore the future of AI-driven automation of cold storage warehousing and logistics in the National Capital Region (NCR) in the Philippines in a five-year time horizon (2026-2031) using the technology foresight methodology. It aimed to determine the technological maturity, identify the major drivers, barriers, and uncertainties, and develop future scenarios for strategic planning. The study employed a qualitative design, with inputs from a leading cold storage facility using an Automated Storage and Retrieval System (ASRS) and surveys and interviews from 16 industry stakeholders. Other data sources include literature review, environmental scanning (STEEPS), SWOT analysis, and benchmarking. The results indicate that basic technologies such as Warehouse Management Systems (WMS), Internet of Things (IoT), and Automated Guided Vehicles (AGVs) are starting to gain momentum, but AI-driven systems are still patchy, given infrastructure, investment, and people readiness. The survey results indicate an enthusiastic adoption intent, with 87.6% of the respondents likely to adopt within five years (56.3% ‘very likely’ and 31.3% ‘likely’). These results are in line with the foresight findings, which identified AI as a key strategic driver, but critical uncertainties remain in this regard. Four future scenarios have been developed, which show that successful adoption relies on the alignment of technology, workforce capability, infrastructure, and policy support. Overall, the study provides a forward-looking framework for improving the efficiency, resilience, and competitiveness of NCR cold chain logistics. |
| Degree Course | Master of Technology Management |
| Language | English |
| Keyword | AI-driven automation; Cold chain logistics; Technology foresight; NCR Philippines; Smart warehousing; Cold chain resilience; Logistics competitiveness. |
| Material Type | Thesis/Dissertation |
Preliminary Pages
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