Discover how data analytics helps businesses strengthen supply chain resilience by improving visibility, forecasting risks, optimizing inventory, and enabling faster, smarter decisions.

SAN FRANCISCO--(BUSINESS WIRE)--ZeroError, today announced at Snowflake’s annual user conference, Snowflake Summit 2025, the launch of new advanced analytics capabilities to support supply chain ...

Trackonomy reports that global supply chains face increasing challenges from climate disruptions and cyberattacks, making ...

SAN MARCOS, Calif.--(BUSINESS WIRE)--Everstream Analytics, the global leader in supply chain insights and risk analytics, today announced that Supply & Demand Chain Executive, the only publication ...

With all the fancy predictive analytics that firms have adopted in recent years, why are they still slow to respond once they ...

STAMFORD, Conn.--(BUSINESS WIRE)-- Many companies with complex supply chains are co-developing specialized analytics systems with providers that allow them to adapt quickly to dynamic market ...

Decision intelligence, which connects data, analytics and automation to run decisions as a continuous digital process, has ...

Tired of spreadsheets? Still making gut-feel decisions on how to meet demand? Struggling to create accurate plans? If so, this research perspective is for you. It explains that by leveraging advanced ...

On April 10, 2025, members of the Leeds community—including faculty, alumni and current students—gathered to celebrate a milestone: 10 years of innovation, impact and excellence in the Leeds Master’s ...

NEW YORK--(BUSINESS WIRE)-- Moody’s Analytics announces the launch of Supply Chain Catalyst, a data and analytics platform for monitoring and managing supply chain risk. The solution helps ...

Integrating advanced analytics and AI is proving transformative as the energy sector grapples with challenges in efficiency, environmental responsibility, and resilience. Technology’s ability to ...

Poor predictive capacity at MRO providers could be impacting the efficient forecasting of parts demand, especially in a weak supply chain environment, according to industry sources. Daniel Adamski, ...