I help supply chain leaders significantly improve supply chain performance

Use practical AI to reduce inventory costs, improve forecast accuracy, and proactively prevent disruptions - without replacing your existing systems.

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Daniel Jacobsen

Common Supply Chain Challenges

Persistent Forecast Inaccuracy

Supply chain leaders frequently struggle with forecasts that consistently miss the mark. Poor forecasting means excessive stock on shelves or—equally damaging—empty shelves and lost sales. The challenge intensifies when demand fluctuates rapidly due to shifting consumer preferences, promotions, or seasonal variations, making traditional forecasting tools insufficient to meet modern supply chain demands.

Inventory Imbalances Leading to High Costs

Inaccurate forecasts directly cause inventory imbalances, inflating inventory holding costs and locking up valuable working capital. Leaders often find themselves trapped between the costs of excess inventory—such as waste, markdowns, or obsolescence—and the lost revenue and damaged reputation from frequent stock-outs.

Limited Visibility and Slow Reaction to Demand Shifts

Many supply chain teams find out too late about critical shifts in demand or unexpected disruptions from suppliers. Traditional forecasting processes are typically backward-looking, manually intensive, and slow to adapt, leaving businesses reacting late rather than proactively adjusting to market realities. This limited visibility makes it challenging to respond effectively, amplifying risks and costs.

Complex Global Supply Networks

Today's supply chains span multiple countries and involve numerous partners, creating complex networks that are difficult to manage and monitor. This complexity increases vulnerability to disruptions, complicates compliance with varying regulations, and makes end-to-end visibility challenging. Supply chain leaders struggle to maintain control and transparency across these intricate networks while ensuring resilience and adaptability.

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Typical Engagement Process

1

Discovery and Diagnostic

I begin by thoroughly assessing your current supply chain processes. Through structured conversations and data analysis, I uncover root causes of your forecasting inaccuracies, inventory imbalances, and hidden supply chain risks.

2

Tailored Solution Design

Based on your specific business goals and existing systems, I design a practical, AI-driven approach tailored to your team's workflows. This includes clearly defining what success looks like and the roadmap to achieve measurable improvements.

3

Hands-On Implementation

I don't just advise—I help you put the solution into action. This involves working directly with your team to implement, e.g., forecasting models, supplier risk mitigation, or AI-powered automation, integrating seamlessly with your existing systems and practices.

4

Ongoing Support and Optimization

After initial implementation, I remain available to ensure sustained improvement. This means refining models based on real-world feedback, training your team, and providing ongoing advisory support to continuously enhance your supply chain performance.