From Reactive to Proactive Buying: How GHRA Transformed Supply Chain Planning with AI
Most supply chain teams don’t struggle due to lack of effort — they struggle because their systems force them into reactive decisions. As demand volatility increases and operational complexity scales, manual processes, fragmented data, and inconsistent replenishment logic create a cycle of firefighting that’s impossible to sustain.
In this webinar, New Horizon and GHRA (Greater Houston Retailers Cooperative Association) share how they broke that cycle. You’ll hear firsthand how GHRA transitioned from spreadsheet-driven purchasing to an AI-powered, proactive planning approach — improving forecast accuracy, stabilizing inventory, and enabling planners to focus on higher-value decisions.
What You’ll Learn
- How reactive purchasing creates hidden costs — from excess inventory to supplier misalignment
- Why incomplete demand signals (like lost sales from stockouts) undermine forecast accuracy
- The role of clean, structured master data in enabling reliable AI-driven planning
- How to move from manual, spreadsheet-based ordering to automated replenishment workflows
- What it takes to align procurement, IT, and master data teams around a scalable planning process
- Real-world results from GHRA, including improved forecast accuracy, higher in-stock rates, and reduced inventory
About the Speakers
Chao Ming Ying, Ph.D.
Founder & CTO, New Horizon
Chao Ming Ying has over 25 years of experience in supply chain planning and has led more than 100 implementations across demand planning, supply planning, and S&OP. As the founder of New Horizon, he focuses on building AI-native planning solutions that combine advanced analytics with usability and transparency.
Hannah Hoffmeister
Supply Planner, GHRA (Greater Houston Retailers Cooperative Association)
Hannah Hoffmeister is a supply planner and super user of the New Horizon platform at GHRA. She played a key role in leading GHRA’s transformation from reactive to proactive buying — helping redesign processes, improve data governance, and implement AI-driven planning capabilities across the organization.
Stop reacting. Start planning ahead.
See how AI-driven planning can help you improve forecast accuracy, stabilize inventory, and give your team time back to focus on what matters.