AI-Assisted Marketing Content Generation for Non-Standard Industrial Automation Solutions

This paper investigates AI-assisted marketing content generation for non-standard (customized) industrial automation solutions, a domain characterized by fragmented orders, long project cycles, intense price competition, and limited content reuse across clients. Because each project is highly tailored to a specific factory context, small and micro-automation firms often struggle to articulate the value of solutions clearly, standardize proposal narratives, and rapidly produce consistent marketing materials—resulting in repetitive communication, increased management overhead, and avoidable errors. To address this practical challenge, the paper proposes an AI-enabled approach that transforms scattered inputs—such as customer needs, process constraints, equipment parameters, and solution descriptions—into structured, coherent, and deliverable marketing content (e.g., solution overviews, value propositions, implementation plans, and differentiated highlights). By improving the speed, consistency, and accuracy of content production, the approach helps non-standard automation providers communicate value more efficiently, reduce low-value back-and-forth, and strengthen competitiveness in a highly fragmented market.