Transforming Your Supply Chain with AI: A 90-Day Roadmap for Mid-Market Operations Leaders
Many discussions around supply chain AI often hit a roadblock when it comes to implementation. While the need for change is evident, the question of what the first 90 days should entail remains unanswered.
At USM Business Systems, we have developed a roadmap specifically tailored for mid-market manufacturing and logistics clients looking to transition from interest to action. This roadmap is designed for organizations with limited time and budget, focusing on starting, measuring, and expanding efficiently.
Key Inputs for Your Roadmap
Before embarking on a 90-day AI journey for your supply chain, it’s crucial to consider three key inputs that will shape your roadmap:
Input 1: Identifying the Most Costly Problem
Select a specific supply chain issue with a clear, measurable cost impact. Whether it’s lead time visibility, inventory calculations, or demand latency, choose the problem that has a direct financial or operational consequence.
Input 2: Assessing Your Data Access Points
Your roadmap will depend on the data sources you can connect to. Whether it’s ERP systems, WMS data, or supplier feeds, prioritize the data points relevant to the problem at hand.
Input 3: Defining Success Metrics
Establish clear success metrics for the first 90 days. Whether it’s reducing calculation time, improving lead time visibility, or automating reporting, having a defined goal will drive the project’s scope and future expansion.
Phases of Implementation
Days 1-14: Scoping and Planning
- Map out your data environment
- Prioritize the most impactful problems
- Design the agent architecture
- Define success metrics
By the end of this phase, you’ll have a clear roadmap and metric for success.
Days 15-60: Development and Integration
Simultaneously work on data integration and agent logic development to ensure a smooth transition into production.
Days 61-90: Implementation and Evaluation
Transition the agent to production, measure its impact, and use the data to determine the next steps for expansion.
Expanding Your AI Solutions
Instead of deploying a broad platform, focus on solving one problem at a time and expanding based on success. Common expansion paths include adding new monitoring capabilities, scenario modeling, or integrating additional data sources.
Take the First Step Towards AI Transformation
If you’re ready to explore AI for your supply chain, USM offers a proof-of-concept commitment to kickstart your journey. Start with a scoping conversation and let us handle the initial deployment while you measure the results before committing further.
Contact us at usmsystems.com for a no-obligation discussion on how AI can revolutionize your supply chain operations.
