Winning With AI in Mississippi

Jackson and throughout Mississippi. One evening for manufacturers, agricultural producers, and energy businesses. Mississippi is experiencing rapid growth. AI handles the customer coordination and operational work that lets you scale without adding overhead proportionally. No coding. Bring questions about your specific operation. Pre-register to hold your seat.

What is the seminar in Mississippi?

• Mississippi ranked second in the nation for real GDP growth in 2024 with a 4.2% growth rate, adding $1.27 billion to the state's economy.
• Manufacturing and services sectors drive Mississippi's economy, with principal products including upholstered furniture, automotive parts, lumber, and processed foods.
• Agriculture employs 17.4% of Mississippians and generated $6.22 billion in value in 2020, with livestock, catfish from aquaculture, poultry, soybeans, and specialty crops.
• Jackson is home to a $930 million Nissan manufacturing plant and serves as the state capital and business hub, insulated from regional economic downturns through diverse industries.

Seminar cities in Mississippi

• Gulfport, MS · Coming soon. Pre-register to hear first.
• Jackson, MS · Coming soon. Pre-register to hear first.

One live evening in Mississippi

The seminar covers AI tools manufacturers, agricultural producers, and energy companies use to coordinate with suppliers, manage customer accounts, and handle administrative work. You'll learn how to automate customer communication, track production and supply commitments, and organize the administrative workflows that consume your management's time. Every example is built for your industry.

Your businesses compete on reliability, cost, and delivery. Manufacturers depend on supply consistency and customer relationships. Agricultural producers manage commodity prices, seasonal demand, and customer relationships. Energy companies balance operations and regulatory compliance. All of you face the same pressure: doing more with existing teams.

Mike Filsaime has built software for manufacturing and complex operations. He teaches workflows that work in the real world, how to implement quickly, and how to train your team without overcomplicating operations.

How business actually works in Mississippi

Mississippi's economy is built on manufacturing, agriculture, and energy. Manufacturers produce furniture, automotive components, lumber, and processed foods across multiple facilities. Agricultural producers grow soybeans, cotton, rice (in the Bootheel), livestock, catfish, and specialty crops. The sector operates on thin margins, competitive pricing, and efficient operations. The Nissan plant in Jackson represents major manufacturing investment anchoring the region.

Jackson's role as the state capital and business hub creates economic diversity. Healthcare, government services, retail, and distribution sectors provide employment and economic stability. The combination of manufacturing strength (Nissan, suppliers), agricultural processing, and service sector creates resilience against individual industry downturns.

Mississippi's rapid GDP growth reflects new investment and operational efficiency in manufacturing and agriculture. As industries modernize, companies that manage operations efficiently and maintain strong customer relationships outperform competitors. Administrative overhead and communication lapses create competitive disadvantage.

How Mississippi businesses use AI right now

Manufacturing companies use AI to coordinate with suppliers, manage production schedules, and track customer delivery commitments. A furniture manufacturer managing wood supply, labor scheduling, and delivery to multiple retail chains uses AI to keep all moving parts synchronized. Supply alerts flag shortages before they cascade to production.

Agricultural producers and processors use AI to track commodity markets, manage seasonal labor, coordinate with retailers and restaurants, and maintain compliance documentation. A catfish processor managing fish supply from multiple farms, processing capacity, and restaurant customer accounts stays coordinated across the operation.

Energy companies use AI to manage equipment maintenance schedules, coordinate regulatory compliance documentation, and communicate with customers and regulators. Safety and compliance documentation gets logged automatically rather than reconstructed after incidents.

Six things Mississippi attendees take home

• Prevent supply chain breakdowns from coordination failures. Manufacturing depends on supply consistency. AI flags potential shortages before they hit production lines. Customer delivery concerns get addressed immediately. Your operations team solves problems instead of tracking status.
• Manage agricultural production and delivery without coordination overhead. Agricultural producers juggle crop timing, labor, processing capacity, and customer demand. AI coordinates across all moving parts, flags capacity constraints, and maintains customer communication. Your management team focuses on markets and strategy.
• Maintain equipment and regulatory compliance automatically. Manufacturing and energy face maintenance schedules and regulatory requirements. AI tracks equipment maintenance due dates and compliance documentation. You maintain equipment on schedule and pass audits easily.
• Build customer loyalty through consistent contact across accounts. Manufacturers and agricultural producers depend on customer loyalty and repeat orders. AI maintains regular communication, flags opportunities, and manages order fulfillment. Your sales team focuses on relationship-building while routine coordination happens automatically.
• Reduce administrative overhead as production scales. Scaling production requires proportionally more coordination. AI handles scheduling, communication, and documentation. Your team grows headcount based on production growth, not administrative burden.
• Capture commodity and market intelligence without information loss. Agricultural producers live and die by market awareness and timing. AI tracks commodity prices, customer demand signals, and seasonal patterns. Your team makes decisions based on complete market picture.

People who have seen this in action

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