Texas-based food manufacturer scaling operations across multiple production sites
John Soules Foods operates a multi-site manufacturing footprint with a tech stack built around enterprise resource planning (SAP, Infor M3), SCADA for production control, and Microsoft cloud infrastructure (Azure, Exchange Online, OneDrive). Active hiring across maintenance (6 roles), manufacturing (5), and HR (3) reflects concurrent pushes on lean/Six Sigma implementation and equipment reliability — the pain-point cluster around downtime reduction, parts availability, and labor utilization suggests operational constraints are limiting growth velocity despite strong project momentum.
John Soules Foods is a family-owned food manufacturer headquartered in Tyler, Texas, with operations spanning multiple production sites. Founded in 1975, the company manufactures food products for institutional, retail, and foodservice channels. The current focus spans performance improvement initiatives, lean and Six Sigma process standardization, and end-to-end product commercialization from concept through plant-scale validation. The organization runs on SAP and Infor M3 for operations management, SCADA systems for production control, and standard Microsoft enterprise infrastructure (Active Directory, Exchange, Azure) for backend systems.
SAP and Infor M3 for enterprise resource planning; SCADA for production control; Azure and AWS for cloud; Power BI and Tableau for analytics; Freshservice for IT service management; Microsoft 365 (Active Directory, Exchange Online, OneDrive).
Performance improvement across multiple sites, lean and Six Sigma implementation, Redzone software deployment, end-to-end product commercialization from concept through plant trials and scale-up, and process development for manufacturing readiness.
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John Soules Foods's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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