Artificial intelligence (AI) construction technology company Buildots has launched its new Delay Forecast feature, an AI-powered tool that predicts delay risks and alerts construction teams about pace issues so that they can mitigate potential delays before they escalate. The feature also includes granular, activity-level insights into the root causes of delays, enabling project managers to continually improve performance and strategy.

Delay Forecast, which is integrated into Buildots' main dashboard, flags activities that are at risk of falling behind schedule, quantifies those risks by providing projections of forecasted delays, as well as recommendations for pace corrections to mitigate and prevent delays. When users get delay alerts, they can input new pace assumptions and see how these changes might affect the timeline, allowing them to optimize and fine-tune strategies and determine the best path forward. The dashboard also enables project teams to track risk trends week by week, allowing them to see the real-life impact of their decisions.

The feature was developed after research performed by Buildots found that 62% of construction site activities consistently run slower than planned, and that 25% of activities run at half their planned pace. The findings also indicated that many times — even when critical activities performed poorly week after week — these issues go unnoticed until they have already significantly impacted project timelines.

The new feature has been beta-tested on a number of global construction sites and has been shown to facilitate a 50% reduction in delay times when used together with the PDCM method.

Delay Forecast is now available to all current Buildots users and new customers.