Adexa Genie© Predictive & Prescriptive
Risk-resilient plans using machine learning and AI technology
Even though AI technology has been with us for decades, only now can we apply them to business functions, thanks to faster processors and availability of memory for big data.
Self-Correcting uses Past data in order to find trends that are changing the actual model of the supply chain.
Self-Improving uses past and future (or planning) data to identify frequency of issues and how to improve supply chain policies.
Self-Optimizing means the ability of algorithms themselves to self-improve their performance and efficiency
Use of attributes as AI expert systems
Adexa attributes and Attribute Based Planning is used to learn business rules from the users and planners. The attributes form Boolean expressions that define such business rules.
Temporal value of data
We can categorize data by its temporal value: Past, Present or Future. Past data may come from transaction systems and can be used for diagnostic and predictive purposes as well as causal analysis.
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