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Think Tank
Data Management (Big Data/IoT/Blockchain): Page 3
Watch: Orchestration: The Most Critical Decision in Warehouse Automation
Most warehouses today are operating systems provided by multiple vendors. Akash Gupta, CEO of GreyOrange, talks about the need for orchestration of all those applications.
How Logistics Teams Are Reducing Billing Errors and Protecting Margins
By embracing automation and moving away from manual data entry, logistics teams can transform billing from a cost center into a competitive advantage.
Agentic AI and the $706B Returns Dilemma
Today, dashboards flag costly return rates, suspicious refund activity, or locations with abnormal behaviors. The insights are helpful, but typically arrive after the fact.
Tariff-Adjusted Landed Cost as the New Sourcing Metric
The lowest-unit-cost era in sourcing is over, because unit cost alone is no longer sufficient to make a good decision.
Gartner: Why Supply Chains Aren't Ready for an AI Overhaul
Just 17% of CSCO's said that they're using AI to pursue "transformational" redesigns to workflows, while 83% are focusing on using the technology for smaller changes.
Watch: Seeking Visibility: A New Pharmacy Survey From Tecsys
Tecsys's new pharmacy survey unveils a serious lack of supply chain visibility in an industry that needs it more than ever. Guy Courtin, vice president industry and global alliances, explains.
From Insight to Action: The Agentic Supply Chain
Supply chain execution is undergoing a fundamental shift. As complexity accelerates and disruptions become the norm, reactive, rule-based systems can no longer keep pace. In this SupplyChainBrain webinar, leaders from EPG and NVIDIA explore how agentic AI is transforming logistics from insight-driven visibility into autonomous, intelligent execution.
Why More Supply Chain Data Has Not Made Decisions Easier
Without clean, connected, decision-ready data, supply chain leaders risk drowning in information while missing the signals that matter most.
What’s Stopping Food Supply Chains From Reporting Their Carbon-Emissions Data?
In distributed, highly complex food supply chains, sustainability and compliance all start with getting the right information.
AI Doesn’t Know What Your Planners Know
The 95% failure rate of AI pilots that MIT's NANDA research documented in 2025 is a contextual knowledge problem.
Avoiding Costly Misdeliveries Through Address-Data Cleansing
With so much customer address data of varying quality and in different formats in circulation, it’s time for those in logistics to address the continuing issue of misdeliveries.
Watch: Fixing the Data Gaps in the Cold Chain
Labeling and sensor technology can help smooth the transfer of cold chain data, but a lot of service providers have yet to take full advantage of it, says Avery Dennison's Julie Vargas.
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