Supply chain transformation happens by unlocking the value of your analytics with processes, technology and experience. A lack of capabilities and a structured approach is holding many companies back.

The supply chain landscape is poised for transformation through the integration of advanced analytics and AI. However, this transformation hinges on the quality of the data.

McKinsey recently reported that autonomous supply chain planning, which combines big data and advanced analytics, has been shown to increase revenue by up to 4 percent, reduce inventory by up to ...

In an Innovation Stage presentation at PACK EXPO 2022 discussing supply chain applications of AI, Jordan Howard, director of sales at Conversight.ai, explained that users of the Conversight.ai ...

Supply chain risk analysis firm Everstream Analytics has released its 2025 Annual Risk Report, pinpointing the top five threats that could disrupt global supply chains this year. The report draws on ...

Investors seemingly see the potential. Last year was a banner year for venture-backed supply chain management companies, which saw $11.3 billion in funding, according to Crunchbase.

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.

Supply chain startups raised $24.3 billion in venture funding during the first three quarters of 2021 alone, according to Pitchbook — 58% more than the full-year total for 2020.