Complete cases
This library shows complete flows for inquiries, sales, shipping, cart handling, and escalation. Each page makes it explicit whether the material is an anonymized example or a curated dataset used to document external behavior.
Editorial label
When a conversation is not published as a literal real transcript, the page is clearly marked as an anonymized or representative example. The goal is to document behavior without inventing metrics or exposing sensitive data.
Each case summarizes the customer's request, the agent's operational criteria, the tools involved, and the outcome reached.
These six journeys cover common support, sales, and multi-channel operational scenarios.
Anonymized example
Answering an inquiry without losing context or commercial tone.
A small business receives a simple but important question: opening hours, contact channels, and whether the conversation can continue there.
Open case
Anonymized example
Taking purchase intent all the way to a clear payment link.
The customer arrives with a concrete need but still does not know which catalog option fits best.
Open case
Anonymized example
Quoting shipping with enough context to avoid wrong promises.
The customer already knows what they want to buy, but needs cost, timing, and delivery options before moving forward.
Open case
Anonymized example
Building a multi-item cart without breaking the conversation.
The customer keeps adding products, corrects quantities, and needs to see the order clearly before moving ahead.
Open case
Anonymized example
Escalating to a human without losing conversation context.
Some situations need human judgment, a more careful tone, or resolution capacity beyond the automated path.
Open case
Curated dataset
How a set of 100 anonymized conversations is documented.
This case is not one conversation. It explains the criteria used to turn many interactions into a useful and safe public reference set.
Open case
The 100-conversations URL works as a framework page describing how a broader set of citable conversations is assembled, anonymized, and reviewed. It documents the editorial criteria without publishing private information.
Dialo.ar is designed to organize sales, support, and multi-channel follow-up without making the experience fragile.