Using AI to evaluate tenders for a unique highways project

In this compelling case study, nPlan demonstrates how its innovative AI capabilities have revolutionised tender evaluations for highway projects. This 2023 case study highlights how nPlan's AI forecasting and risk management analysis provided ground-breaking insights for a government agency overseeing two crucial highway projects.

Key highlights of the case study include:

• nPlan's success in offering fast, rigorous analysis of four tenders, revealing both known and hidden risks.
• The ability to perform side-by-side tender evaluations using quantitative, unbiased data, enabling the selection of the best contractor.
• nPlan's AI learning from highways projects, processing bid schedules, and providing AI-generated insights for baseline and mitigated schedules, along with ranked risk lists.
• Significant achievements in identifying top delivery risks, guiding contractual risk allocation, and visualising project schedules as clear pathways to identify potential bottlenecks.
• Quantification of potential cost impacts and delivery risk comparisons between contractors.

This case study serves as a prime example of how nPlan's AI-driven approach can dramatically enhance the tender evaluation process, offering unprecedented accuracy and depth in risk analysis and forecasting. It's an essential read for professionals in the construction and government sectors, showcasing how AI can transform complex project assessments and decision-making.