________________________________________________________________________________________________________________________
Project scheduling optimization
In construction , managing supply chains is mission-critical and increasingly complex . Growing project scopes compounded by economic pressure constrict the availability of critical resources . Bridging the gap between disparate systems enables data and AI solutions to improve decision-making and align the project planning process , increasing control from materials and people to scheduling and budgeting .
By getting a real-time view of project status thanks to the context data and AI can offer , construction leaders can shift from reactive management to choreographed execution to meet complex project needs . Armed with quality information , construction leaders can make critical decisions about where and when they are needed to respond and create the greatest positive impact for a given situation .
Supply chain uncertainty is business as usual in the construction industry . Just nine percent of respondents in the Associated General Contractors of America ’ s 2023 Construction Outlook National Survey indicated they had no significant supply chain problems . The overwhelming majority turned to alternate suppliers , products and materials or stockpiled or accelerated purchasing to manage projects which leads to increased cost , less predictable transportation timelines and a variety of potential inefficiencies that consume valuable time and cash flow .
Contextual data and AI can identify scenarios that can be avoided or reasonably compensated for at the outset of a project . Early detection for developing risks and recommended courses of action based on available options have the potential to protect construction ’ s already slim margins . Data insights on supply chain risks integrated with the overall construction plan create alternate options that might not otherwise be visible and can have a material impact .
Resource allocation
The construction industry has always contended with constant bottomline pressure and a highly competitive marketplace . These factors make effective resource allocation a top priority for businesses and a competitive differentiator when managed effectively .
AI and data insights can help construction and service companies ensure that projects are adequately staffed with the right skills and provide accurate resource forecasts to ensure future success as well . AI can automate the highly manual process of resource allocation and dispatch , leading to quicker response times and reduced mobilization times .
People
Finding and keeping the right people in an always-tight labor market is essential for construction companies . AI can aid the talent recruiting process by attracting the right people through the right platforms . Data insights help businesses retain construction industry talent with engagement analytics and ongoing guided training .
Project costs
Incorporating AI and data insights can balance material and labor estimates with actuals more effectively over time , giving better estimate integrity from the beginning and improving visibility to overall project risks . Both construction companies and their clients value this greatly . For construction leaders , embedding these technologies into the resource allocation process can lead to differentiation in customer experience and sustainable practices .
Task management
Collectively , we ’ re still exploring the boundaries of what ’ s possible with AI . Most of the practical application of artificial intelligence falls into what ’ s called productive AI . It ’ s the modern answer to ‘ do more
20