Notes on AI in operations.
Field notes, engineering write-ups and perspectives on enterprise AI and digital transformation.
AI Demand Forecasting: How to Cut Inventory Costs by Up to 35%
Poor demand forecasting silently drains working capital. Learn how AI models tackle seasonality, promotions and external signals to cut inventory costs by 20–35 % with a practical deployment guide.
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Domain-Adapted Turkish LLMs: Generative AI for Enterprise Operations
General-purpose LLMs fail on Turkish enterprise tasks due to tokenization gaps and missing domain knowledge. Here is how to build reliable Turkish AI with RAG, fine-tuning and proper evaluation.
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AI in HR: Objective Talent Decisions with Candidate Scoring
Keyword-filtered resumes, biased interviews and subjective promotions cost organizations far more than they realize. AI brings consistent, explainable scoring to talent decisions — and turns competency data into a development system.
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Optimizing Business Processes with AI
Most AI projects stall before deployment. This guide covers how to identify the right processes, build the implementation framework, and measure real ROI from AI automation.
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