This is QRION running one complete business process.
The process is reconciling customers across three systems that have never agreed with each other.
Your best customer is probably sitting in your systems three times over. Once in the online store, once in the CRM, once in the marketing platform.
Three records, three slightly different answers to the same two questions. Who is this person, and what did they agree to?
Nobody is at fault. The systems were never asked to agree with each other.
Before anything can be merged, two things have to be agreed once.
So the first job is to make them agree. QRION reads the available fields straight out of each connected system, so nobody is typing a column name from memory.
Then you say which of them mean the same thing. First name in one, given name in another, one customer attribute.
Every save creates a new version, and a workflow that is already running keeps the version it was built with.
Next, the question that actually causes arguments. When two systems disagree, which one wins? The CRM owns the phone number. The store owns the delivery city. You decide that once here in business terms, marketing consent is treated differently on purpose. If the systems disagree about permission, the most cautious answer wins.
Those decisions become a step in a workflow, and the workflow runs.
That agreement becomes an ordinary step in a workflow. Read each system, then resolve what comes back into a single customer.
Each system is read at the same time, and all three results arrive at a single step that works out who is who.
This is a real run against the three live systems. 350 customer records were read.
78 customers turned out to exist in more than one system. 75 of those were resolved automatically.
Three were not clear enough, so they were set aside for a person to look at rather than guest.
This is Priya. She exists in all three systems, and three of her details did not match.
Her phone number was taken from the CRM because that is the system you said owns it. Her city came from a store.
Every field shows what each system said, which value was kept, and the reason it won.
Working out who is who is only half of it, the agreed identifier is written back into the systems themselves.
This is Priya's real record in the online store, now carrying the identifier that every system shares.
From here on, the other workflows stop guessing who she is. They simply look her up.
One customer, one agreed version, and an answer you can show to anyone who asks how was reached.
