@Sciety_User ​This work sets a new benchmark in backorder prediction by demonstrating that the combination of accessible high-performance computing platforms and well-selected machine learning algorithms can deliver state-of-the-art results without requiring enterprise-level infrastructure. It thus opens a promising avenue for practitioners and researchers seeking scalable, accurate, and interpretable solutions for complex supply chain challenges. We believe this contribution will encourage further research into the integration of cloud-based computing and AI in real-time supply chain risk mitigation, and support the development of agile, data-driven strategies to strengthen supply chain resilience in an increasingly volatile global environment.

Improving Project Accuracy Through Better Estimating Practices

In today’s fast-moving construction environment, having reliable cost insights isn’t just helpful it’s essential for making informed decisions. Many builders, engineers, and project managers are now relying on professional construction estimating consultants in Australia to minimize risk, improve accuracy, and streamline the early planning phase.

Clear and precise estimating allows teams to understand material requirements, labour needs, and potential cost fluctuations before committing resources. This not only reduces unnecessary delays but also ensures smoother communication across the entire project lifecycle.

For organisations aiming to improve efficiency and transparency, partnering with experienced consultants offers a practical edge. Their data-driven insights help identify hidden risks, refine budgets, and provide the clarity needed to move forward confidently.

doi.org/10.1186/s12889-025-2...

Protocol paper for healthy ageing for Indigenous communities in India and Sweden with focus on nutritious and culturally adequate food provision