This decision modeling case study examines how the Corticon provides a way to automate a decision about whether a customer pre call is required or not.
To make this decision we will need some rules.
Here are some sample rules provided by a customer
If the shipment contains perishable items then a pre call is required
If the customer's annual revenue is under $1000 then a pre call is not required
We will walk through the entire process of modeling these rules, including the discovery of errors, ambiguities and incompleteness using Corticon Studio.
A second example is modeled using these rules
Is there a truck scheduled for this customer with the right item and right quantity?
Is there a truck scheduled for this customer with the right item but insufficient quantity?