Test blank, zero and service overrides in a branded AI workspace
A pricing form can save successfully while the customer journey still behaves differently from what the operator intended. One easy distinction to lose is a blank service markup versus an explicit zero: they represent different configuration states. This guide is from the Ace Data Cloud team and uses the documented behavior of a white-label Studio. It provides a manual acceptance workflow for the…
This guide from Ace Data Cloud focuses on distinguishing between a blank service markup and an explicit zero markup in a branded AI workspace. The guide provides a manual acceptance workflow for the selected site and service, emphasizing the importance of checking both the configuration guide and actual checkout before applying the changes to a commercial offer.
The guide outlines four separate cases to consider, including no service override, a blank service markup field, a service markup set to zero, and a service markup with an explicit percentage. It also highlights the need to record configuration states, customer-path checks, and the importance of not changing live commercial offers to make tests easier to observe.
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