AI Cloud for
DataRobot AI Cloud for Manufacturing is uniquely designed for today’s manufacturing challenges and opportunities—and lays the foundation for the next generation of intelligent business.
Supply Chain Management
Predict late shipments to prepare for foreseeable delays in your supply chain network and take data-driven corrective action.
Leverage AI to gain insights into seasonal demand and economic conditions on incoming volume.
Through cutting-edge AI, ensure product quality, while streamlining operational processes and reducing manufacturing costs.
Utilize AI to proactively find the maintenance decisions that maximize total production and minimize costs.
DataRobot’s Manufacturing Customers Are Shaping the Future
AI Cloud for Manufacturing is transforming the manufacturing industry
Manufacturers need AI Cloud to address consumer demands, optimize operations and keep their employees safe
Manufacturers are facing unprecedented challenges on a global scale. Supply chain disruptions, shipping bottlenecks, sustainability concerns, and maintenance backlogs are further compounded by a rapidly evolving landscape of high consumer expectations and increased operational complexity. Manufacturers need to find new ways to solve some of their most important issues.
Supply Chain Disruptions
Supply chain disruptions are expected to become more common. According to the Economist Intelligence Unit, 54 percent of executives say that organizations must make significant changes in order to effectively manage supply chain disruptions in the next five years
Sustainable operations are no longer optional. Companies could face up to $120 billion in increased costs from environmental risks in their supply chains within five years. And failure to meet targets can jeopardize customer loyalty and market opportunities (CDP).
Quality and Defects
Defective materials reduce efficiency and increase the cost of manufacturing. They generate waste, lead to downtime, and require resource-intensive quality assurance and remediation. For example, an aerospace giant recently estimated that manufacturing quality defects will cost the company $1 billion (Seattle Times).
Unplanned downtime costs industrial manufacturers an estimated $50 billion annually. Equipment failure is the cause of 42 percent of this downtime, with unplanned outages resulting in excessive maintenance, repair, and equipment replacement (IndustryWeek).
AI Cloud for Manufacturing Demo: Visual AI
See how AI Cloud for Manufacturing uses Visual AI to overcome challenges such as automatically classifying product defects and detecting plant disease.