Our inventory simulation demonstrates that even simple statistical tools can materially improve stocking policies for high-value spare parts.

Who e-mails whom – and what does that reveal about hidden influencers in the organisation?

Even a relatively simple machine-learning model using basic transactional, calendar, and lagged features can materially outperform a naïve “yesterday = tomorrow” rule.

The combination of statistical modelling and intuitive visual diagnostics gives risk teams a balanced toolkit: robust enough for analytics, but transparent enough for decision makers.