https://datalaria.com/en/categories/sop-engineering/ Recent content in S&OP Engineering on Datalaria Hugo -- 0.148.2 en-US Fri, 27 Mar 2026 00:00:00 +0000 https://datalaria.com/en/posts/sop-engineering-part5-autonomous-agents/ Fri, 27 Mar 2026 00:00:00 +0000 https://datalaria.com/en/posts/sop-engineering-part5-autonomous-agents/ Math doesn't send emails. In the grand finale of our series, we build a team of AI Agents that read our master plan and execute operations autonomously. https://datalaria.com/en/posts/sop-engineering-part4-enterprise/ Fri, 20 Mar 2026 00:00:00 +0000 https://datalaria.com/en/posts/sop-engineering-part4-enterprise/ The MVP is dead, long live Enterprise. In Chapter 4 we stress-test our S&OP system with multiple SKUs, teaching how to parallelize AI models and mathematically solve the war for shared production capacity. https://datalaria.com/en/posts/sop-engineering-part3-optimization/ Fri, 13 Mar 2026 00:00:00 +0000 https://datalaria.com/en/posts/sop-engineering-part3-optimization/ A supply plan based on 'weeks of coverage' burns your company's cash. In this chapter, we use Python and PuLP to mathematically calculate the optimal plan that minimizes financial costs. https://datalaria.com/en/posts/sop-engineering-part2-forecasting/ Sat, 07 Mar 2026 00:00:00 +0000 https://datalaria.com/en/posts/sop-engineering-part2-forecasting/ A deterministic forecast in Excel is a financial risk. In Chapter 2, we upgrade our S&OP pipeline with Facebook Prophet to calculate demand probability, uncertainty intervals, and safety stock mathematically. https://datalaria.com/en/posts/sop_engineering-data-hygiene/ Sat, 28 Feb 2026 00:00:00 +0000 https://datalaria.com/en/posts/sop_engineering-data-hygiene/ Let's stop cleaning data manually. In this first chapter of the S&OP Engineering series, we automate data hygiene using Python, Supabase, and Statistics to detect the truth hidden behind the noise.