Before accepting a promise of truthful AI, I would want to know who tests it, what evidence it is tested against, and whose decision applies if the results are disputed.

An annual procurement plan becomes useful when it tells the team when to start each sourcing event, who owns the next action, and whether a need-by date is at risk. A spreadsheet exchanged by email can hold the original demand, but it is a weak system of record for continuing updates.

What makes sourcing analysis difficult in real life is rarely a lack of information. Usually, the difficult part is interpretation.

It always amuses me when people post "use my prompts", which sounds to me like "skip time on a diagnosis, take my medicine."

The Kraljic Matrix was never intended to become a yearly PowerPoint ritual. It was supposed to support procurement decision-making. The more repeatable, transparent, and automated the process becomes, the more useful the model actually appears.

This blog will study how Monte Carlo simulation can streamline decision-making with the help of mathematics and AI.

This article explores the application of regression analysis to finding the optimal cloud cost composition.