Chirag Soni, a veteran in the construction industry, has launched Gantt AI, a groundbreaking solution designed to transform construction scheduling. Leveraging extensive expertise from managing large-scale projects worldwide, Chirag and his team at Gantt AI are pioneering a new era in project management efficiency.

At its core, Gantt AI harnesses the power of machine learning to streamline the scheduling process by extrapolating from past project data to predict future project timelines. This innovative approach not only saves time but also enhances accuracy in scheduling, a critical aspect in the construction industry where delays can lead to significant financial implications.

"We take in as many past project schedules as you can provide for a specific project category, whether it's retail, residential, or commercial," explains Chirag. "Using this data, we develop custom-tailored models that learn from the start dates, end dates, durations, task dependencies, and semantic nuances across different schedules."

Unlike traditional scheduling methods that rely heavily on manual input and subjective estimations, Gantt AI automates the process based on historical data insights. By analyzing hundreds of project schedules, the AI model identifies patterns, dependencies, and potential delays more effectively than human schedulers can manage alone.

"For example, if a project involves installing drywall, the AI model considers factors like project size, location, complexity, and historical performance of similar tasks," Chirag elaborates. "It then predicts the duration with a confidence interval, accounting for variables such as weather conditions or supply chain disruptions."

Currently offered as a service, the platform collaborates closely with project teams to tailor the AI model to their specific needs. This collaborative approach ensures that the predictions align closely with real-world project dynamics, providing project managers with reliable schedules and actionable insights.

"We work closely with each customer to understand their unique project dynamics," notes Chirag. "This involves fine-tuning the model based on inputs such as project complexity, location specifics, project size, and cost parameters. The result is a predictive tool that generates schedules with a high degree of accuracy and adaptability."

Looking ahead, Gantt AI aims to evolve into a standalone product accessible through a user-friendly web interface. This vision includes empowering users to upload their own schedules, train the model independently, and generate future project timelines autonomously.

"While we currently offer Gantt AI as a service, our long-term goal is to provide a self-service platform," Chirag reveals. "Users will have the flexibility to customize their scheduling preferences and format outputs to suit their specific project management needs, whether it's exporting to CSV files or integrating with existing project management software."

For construction professionals seeking to optimize project timelines and mitigate risks, Gantt AI represents a transformative leap towards smarter, data-driven scheduling solutions.

Watch the interview: https://www.youtube.com/watch?v=p5Sfn6aKjkk

Find out more about Gantt here: https://ganttai.com/