Interconnectedness, Volatility and Uncertainty are Reshaping Global Supply Chains

Discover how growing volatility and interconnected supply networks are pushing CPG brands beyond traditional supply-centric planning in this article written by Geoff Shive. He explains why demand chain planning, grounded in consumer demand, retailer collaboration, and transparent AI, is critical for protecting service levels and margins. The piece highlights practical approaches, including scenario planning, agentic AI, and digital twins, to help CPG leaders manage uncertainty and make faster, more confident decisions.
Data Reboot: How Cleansing Fuels AI, Automation, and Agility

By Chad Schumacher This white paper explores the journey of ClearSprout Foods, a fast-growing CPG manufacturer that learned a critical lesson: AI and analytics are only as powerful as the data behind them. As the company raced to implement advanced tools, fragmented systems and inconsistent records held back meaningful progress. Through ClearSprout’s transformation from messy, […]
Crawl, Walk, Run – Advancing Supply and Demand Chain Production Planning

Written by Rick Davis Discover how CPG manufacturers are transforming supply and demand planning through the “Crawl, Walk, Run” framework, as outlined by Richard Davis, CEO of Demand Chain AI. In our latest article, Davis explains how a phased approach—starting with foundational visibility, progressing through process integration, and advancing to AI-driven optimization—helps organizations build capability, […]
LT Foods Americas Names Demand Chain AI a Trusted Partner for Planning and Data Excellence

LT Foods Americas, a global leader in specialty rice and rice-based foods, has partnered with Demand Chain AI for nearly two years to strengthen planning, category management and data capabilities in North America.
Supply Planning Optimization Product Developer (AI-Focused)
Demand Chain AI Appoints Larry Layden as Chief Customer Officer to Lead Sales and Growth

Chicago, IL — October 8th, 2025 — Demand Chain AI, a leader in intelligent supply chain planning and data solutions, today announced the appointment of Larry Layden as Chief Customer Officer (CCO). In this role, Layden will oversee sales strategy and revenue growth, helping expand the company’s market presence across key industries. Layden brings more […]
Demand Chain AI Awarded Best in Class Category Distinction for TPMx for Tier 2 and 3 Organizations and Tier 1 International Markets

We are proud to share that Demand Chain AI has been recognized as Best in Class Category Distinction for TPMx for Tier 2 and 3 organizations and Tier 1 international markets in POI’s 2025 Consumer Goods Vendor Panorama!
Why CPG Companies Need a Smarter Partner: The Power of Industry-Specific, Practical Expertise

By Richard Davis, CEO, Demand Chain AI The Big Picture Consumer packaged goods companies are facing fast-moving headwinds. Pandemic-era channel disruption, e-commerce acceleration, supply chain volatility and consumer tastes that change overnight: this is a new era that demands new strategies. Success no longer comes from scale alone. Instead, it’s about agility and context—a combination […]
The Agentic AI Revolution in CPG: Reimagining Demand Forecasting & Production Planning

Emil Beloglavec, AI Chief Architect at Demand Chain AI, highlights how Generative AI is transforming CPG operations from static, reactive processes to adaptive, intelligent systems. By using real-time data, continuous learning, and conversational collaboration, GenAI enables dynamic forecasting, rapid replanning, and optimized production. Early adopters are already seeing major gains such as reduced forecast errors, improved inventory efficiency, and millions saved through reduced waste, making GenAI a reinvention of how CPG companies compete.
Integrating AI into Your Supply Chain Planning: 3 Key Risks Every CPG Brand Must Know

Artificial intelligence is transforming supply chain planning for CPGs and retailers—bringing both opportunity and risk. Dr. Kevin O’Flynn explores how AI can drive forecasting accuracy, inventory efficiency, and agility, while also exposing organizations to data, technology, and governance pitfalls. Success demands careful planning, smart adoption, and human oversight.