Your Fractional AI Strategist for Supply Chain Resilience
I provide senior AI leadership to de-risk your transformation projects. We will use practical, custom AI to reduce inventory costs, improve forecast accuracy, and proactively prevent disruptions—without replacing your existing systems.
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Designed for the Ambitious Mid-Market
My services are designed for mid-market manufacturing, retail, and distribution companies (typically $50M-$500M in revenue).
- Your business is complex enough to require sophisticated solutions, but you are often underserved by the giant consulting firms that prioritize Fortune 500 clients.
- You need access to C-level strategic guidance to navigate technology decisions, but may not have the budget or full-time requirement for a permanent executive.
- I fill that gap, providing the direct, senior-level expertise needed to build a custom AI solution that becomes a true competitive advantage.
Common Supply Chain Challenges
Inaccurate Forecasts
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.
Impractical Optimization Approaches
Many supply chain optimizers or solvers don't consider the real-world constraints of noisy data and the need to balance multiple objectives. They also don't account for the need to implement solutions that are practical to implement and maintain in the real world.
Poor Visibility of Supplier Risk
Many supply chain teams find out too late about critical shifts in supplier performance or unexpected disruptions from suppliers. Tier 2 and beyond are typically invisible to the supply chain team, making it challenging to react proactively to market realities. Communication with suppliers is also often manual and irregular, making it difficult to proactively address issues before they become critical.
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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Engagement Model
Your First Step: The Resilience AI Proof-of-Concept
A full-scale custom AI project is a significant investment. We demonstrate the value of a custom approach before you commit to a full-scale build.
Example Pilot Projects:
- Predictive Disruption Alerts: Design a model to monitor a single, high-risk shipping lane for geopolitical or weather disruptions, providing early warnings.
- Dynamic Demand Forecasting: Develop an AI forecasting model for one key product category to reduce forecast errors and optimize inventory.
- Supplier Reliability Scoring: Design an algorithm to score the reliability of your top suppliers based on historical performance and real-time data.
Scale Your Success: The Custom Resilience Solution Blueprint
Once the pilot project has proven its value, we scale. In this 2-4 month engagement, I act as the Lead Resilience Designer to architect a full-scale, custom AI engine that integrates across your supply chain. The final deliverable is a comprehensive Solution Design Blueprint that your internal or external development teams will use to build the system, creating a lasting competitive advantage that off-the-shelf software cannot replicate.
Ongoing Strategic Leadership & Oversight
A blueprint is only as good as its execution. After the design phase, I transition into my role as your Fractional AI Strategist. On a retainer basis, I provide the bridge between your executive team and the technical teams to ensure the project delivers on its promised business value.
The Case for Custom AI
Off-the-shelf software forces you to adapt your unique business processes to its rigid logic. A custom AI solution, by contrast, is a strategic, proprietary asset designed specifically for your business logic and competitive strategy.
This is not just a theory; the results are measurable. As shown by many real-world examples, companies using custom AI for supply chain optimization report significantly more revenue, less inventory, and lower supply chain costs. My role is to provide the architectural leadership that ensures your investment delivers this level of impact.