Technology > Data Management (Big Data/IoT/Blockchain) | SupplyChainBrain

Data Management (Big Data/IoT/Blockchain): Page 13

Three Data Strategies for Retail and CPG Organizations During Tariff Turmoil
One thing that retail and CPG organizations can do to stay competitive is focus on what they can control: their data.
Photo: iStock / stnazkul
'Nobody's Ready': AI’s Rapid Rise Is Outpacing Our Infrastructure
Goldman-Sachs predicts that AI will drive a 160% increase in data center power demand by 2030, and require an estimated $720 billion in upgrades to global power grids to account for that growth.
Photo: iStock / wir0man
Mathematical Optimization: Supply Chain Management by the Numbers
Supply chains consist of imperfect humans struggling to make perfect decisions. In the end, though, it all comes down to a game of numbers.
Image: iStock/marcoventuriniautieri
AI: Real or Hype?
Companies will need to implement powerful governance frameworks, invest in training, and ensure transparency in AI-driven processes.
Image: iStock/koto_feja
Watch: Grappling With Geopolitical Risk and Data Quality in Supply Chains
Industry adviser Bart De Muynck details the results of a new survey on supply chain resilience in times of uncertainty, conducted by SupplyChainBrain in collaboration with Seagull Software.
Grappling With Geopolitical Risk And Data Quality In Supply Chains
AI-Tuned Pricing and Inventory Strategies are the Way Forward for Retailers
Demand-sensing is important, and is much improved by AI. But pricing and inventory modeling are important too.
Which one will sell, and at what price? AI can help. Photo: iStock/South_agency
Watch: Marrying Inventory Reduction With ERP: A Case Study
A case study about implementing a new inventory-reduction solution, with Allan Jaenicke, vice president of strategy and operational excellence with Waters Corp., and Carrie Brown, transformation evangelist with Celonis.
016 (540p)
Four Key Digital Supply Chain Shifts to Make in Mid-2025
To achieve digital transformation, supply chains must look beyond traditional methods to new technologies that can streamline operations, reduce costs and enhance customer satisfaction.
Photo: iStock / metamorworks
Report From DPW: What’s Next for AI in Supply Chain?
AI agentic orchestration is one to watch, where AI agents have sufficient autonomy to execute business decisions, like a human assistant.
Image: iStock/JuSun
Best Practices for Monitoring and Managing Assets and Inventory
Analog and manual processes won’t suffice today, and organizations must adopt advanced technologies to effectively monitor and manage assets and inventory as they travel across borders.
Photo: iStock.com/gorodenkoff
How Supply Chains Can Harness Public Data to Protect Against Cyber Threats
Threats to supply chain security are everywhere these days. But the best weapon for dealing with them consists of data that’s readily at hand.
Image: iStock/DKosig
AI Agents: A Transformative Guide for Supply Chain Leaders
Supply chain leaders interested in implementing AI agents should start with clearly defined, limited-scope projects addressing specific pain points.
Image: iStock/XH4D
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Case Studies
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Case Studies
How a Leading U.S. Floral Distribution Company Reduced Warehouse Labor Costs by 45% with RFID
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Enhancing High-Value Electronics Shipment Security with Tive's Real-Time Tracking
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