Massive Industrialization: Modular Pavement Production with Artificial Intelligence and Big Data — A Comparative Analysis and Implementation Framework for Peru

Background Road infrastructure in Peru presents critical quality and execution gaps. Over 86% of the 168,000 km national road network remains unpaved, generating an infrastructure deficit estimated at USD $110 billion through 2038. Modular pavement production combined with Artificial Intelligence (AI) and Big Data analytics offers a disruptive mass-industrialization pathway that sidesteps the chronic delays, quality variability, and high carbon footprints of traditional cast-in-place methods. Objective To systematically analyze the technical and economic advantages of AI and Big Data in modular pavement industrialization, compare their performance against traditional methods across six key dimensions, and propose a context-specific three-phase implementation strategy for Peru. Methods A systematic literature review was conducted across Scopus, Web of Science, and IEEE Xplore (2019–2025). After two-stage screening (inter-rater reliability: Cohen's kappa = 0.82), 67 peer-reviewed studies were selected covering AI-driven mix design, automated manufacturing, predictive logistics, and smart maintenance. Results Four foundational principles were identified and quantified: AI-driven design reduces engineering timelines by 35% and cement consumption by 20%; automated manufacturing increases production throughput by 180% and reduces defect rates by 80%; predictive logistics cut delivery lead times by 50%; and IoT-based smart monitoring reduces maintenance costs by 30% while extending service life by 25%. Peru's overall technology readiness score is 5.9/10, with the mining sector and CREMA contracting model identified as strategic entry points. Conclusions Modular pavement industrialization is technically feasible and economically advantageous for Peru. A three-phase roadmap (2025–2035) with a total investment of USD $335–505 million can achieve 50–60% market penetration for new pavement construction, 8,000–12,000 direct jobs created, and a projected 30:1–50:1 benefit-cost ratio.