case study: Demand forecasting challenge
Implementing AI tools to improve accuracy
The Situation & Waste
The core struggle was in mismatched supply and demand. Excessive working capital was currently trapped in stagnant inventory, while demand remained unfulfilled.
AI-Driven Strategy
We redesigned the planning model to leverage real-time data ingestion and predictive analytics. This new framework enabled a dynamic response to demand shifts and supply chain volatility.
Technical Implementation
The solution features Claude-based AI agents that automate complex demand sensing tasks, reducing manual forecasting errors by 40% and allowing planners to focus on high-value exceptions.
Measurable Outcomes
$12.7M Released
Working capital unlocked through strategic AI demand forecasting and SKU optimization.
98% Fill Rate
Maintained superior service levels while simultaneously reducing total stock carrying costs.
Removed excess inventory
Drastic reduction in obsolescence and waste through Claude-based planning agents.
Client Success Story
“
Catalyst Point transformed our capital allocation strategy; Their AI-driven approach redefined how we optimize our working capital.
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