Winning With AI in Michigan

Detroit and throughout Michigan. An evening for automotive suppliers, manufacturers, and logistics leaders. Manage supply chain complexity, coordinate multi-site production, and maintain customer relationships across dozens of accounts. AI handles the coordination that slows your operation. No coding. Come prepared with notes on what slows you down. Have your operation notes ready. Pre-register now.

What is the seminar in Michigan?

• Michigan's automotive and mobility industry contributes $348 billion annually to the state's economy and supports 1.2 million jobs (20% of private-sector employment).
• The state produces 21% of all U.S. auto production and is home to 98 of the top 100 automotive suppliers in North America.
• Detroit and its surrounding region form the densest automotive and mobility supply chain ecosystem in the world, with thousands of component suppliers, logistics providers, and service companies.
• The automotive sector faces a critical transition period with shifting demand, new technology adoption, and consolidation pressure requiring operational agility and rapid decision-making.

Seminar cities in Michigan

• Detroit, MI · Coming soon. Pre-register to hear first.
• Grand Rapids, MI · Coming soon. Pre-register to hear first.

One live evening in Michigan

The seminar covers AI tools automotive suppliers, manufacturers, and logistics companies deploy daily. You'll learn how to coordinate production across multiple facilities, track supply commitments to dozens of customers, and automate communication that currently bogs down your ops team. Every example is specific to manufacturing and supply chain work.

Your operation is built on precision timing and clear communication. A missed supply commitment cascades through your customer's production line. A coordination failure between plants ripples through inventory. A customer inquiry that falls through cracks damages relationships built over years. AI eliminates those gaps.

Mike Filsaime has built software for complex operations. He teaches the workflows that actually work, how to implement without disrupting production, and how to train teams quickly.

How business actually works in Michigan

Michigan's economy is dominated by automotive and advanced manufacturing. The supply chain extends from raw materials to component manufacturers to final assembly. Detroit and surrounding counties host the headquarters and engineering centers for major OEMs as well as thousands of suppliers ranging from multi-billion-dollar companies to specialized shops. Employment concentrates in manufacturing, logistics, and supply chain management.

The industry faces structural transition. Vehicle design is shifting toward electric propulsion and autonomous systems. Manufacturing footprints are changing. Competition from new entrants and shifting consumer demand creates constant pressure on pricing, volumes, and margins. Suppliers must maintain relationships with existing OEMs while positioning for new opportunities.

Supply chain complexity drives operational cost. Coordinating production across multiple plants, managing inventory across dozens of customer accounts, and maintaining quality and delivery schedules requires constant visibility and rapid response. Logistics costs consume significant margin. Any inefficiency in communication or coordination compounds across the network.

How Michigan businesses use AI right now

Automotive suppliers use AI to track production schedules across plants, manage inventory allocation to multiple OEM customers, and automate quality and shipment notifications. A supplier serving Ford, General Motors, and Stellantis sees real-time demand changes; AI flags supply shortfalls before they become crises. Customer inquiries get answered on schedule without coordinator overhead.

Manufacturers use AI to coordinate with subcontractors, schedule production runs across equipment, and maintain documentation for quality audits. Machine downtime, material shortages, and engineering changes get logged and communicated automatically. Customers stay informed about delivery timelines without manual status calls.

Logistics companies use AI to route shipments, match loads with customers, and maintain compliance documentation. Driver communications get automated. Delivery confirmations and invoice generation happen without manual effort. Customer shipment visibility reduces support inquiries.

Six things Michigan attendees take home

• Prevent supply chain breakdowns from communication gaps. Supply chain coordination happens through dozens of phone calls and emails daily. AI flags potential shortages before they cascade. Customer delivery concerns get acknowledged immediately. Your coordinators focus on solving problems, not tracking status and answering routine questions.
• Manage multi-site production without adding coordination overhead. Manufacturing across multiple plants requires constant synchronization. AI consolidates production updates, flags equipment issues, and maintains inventory visibility across locations. Your team sees bottlenecks in real time and addresses them quickly.
• Reduce logistics costs through coordinated routing and consolidation. Shipping and logistics cost eats margin. AI consolidates orders, suggests routes, and optimizes shipment timing. Your logistics team focuses on carrier relationships and exceptions while the system handles routine scheduling and load balancing.
• Improve on-time delivery by automating internal communication. Missed deliveries start with internal miscommunication. AI flags deadlines, routes changes automatically, and maintains completion checklists. Your delivery performance improves as a result of better internal coordination.
• Deepen customer bonds through consistent proactive communication. Customers value predictability and transparency. AI sends shipment forecasts, delivery updates, and quality confirmations automatically. Your customer service team spends time building relationships instead of fielding status inquiries.
• Maintain quality and compliance documentation without manual effort. Quality audits and regulatory compliance require organized documentation. AI logs production decisions, material sourcing, and quality checks in real time. Audits become straightforward instead of archaeologically digging through emails.

People who have seen this in action

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