This is an illustrative example built from typical outcomes Mirflow produces for ecommerce businesses — used to show how the workflow is structured and the kind of impact it produces.
Where it started
Support volume scaled faster than the team could hire, with order-status questions alone consuming most of the queue, while abandoned-cart recovery relied on generic, low-performing email blasts.
What Mirflow deployed
Mirflow deployed a support AI trained on order data and policies to resolve common tickets instantly, alongside a personalized, behavior-triggered cart recovery sequence across email and SMS.
The end-to-end workflow
Classify
Incoming tickets are categorized by intent automatically.
Resolve
Order-status and policy questions are answered instantly.
Recover
Abandoned carts trigger a personalized, timed recovery sequence.
Escalate
Complex tickets are routed to agents with full order context.
Classify
Incoming tickets are categorized by intent automatically.
"We stopped hiring to keep up with ticket volume and started actually getting ahead of it."
Illustrative example
Head of Customer Experience, Veyra Commerce
Services used in this deployment
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