Case study 3 · AI ticket analysis and installation tracking
The problem
Our client helps businesses install GPS units. Demand was strong, but the requests were many, and they had no proper way to see the state of their work at a glance. Simple questions were hard to answer:
- Which installations are still pending, and which are newly requested?
- Where will each installation take place?
- How many units are involved, and which products?
- Which company made the request?
- When was it requested, and when was it completed?
- Which agent is in charge of assigning the task?
All of this information existed, but it was buried inside individual support tickets. Getting a clear picture meant opening tickets one by one.
What we built
We built a workflow that turns those tickets into usable information.
- Retrieve every ticket. We pull in all existing and incoming customer requests, including tickets with pending, open and new status.
- Summarise the content. The workflow summarises each ticket, for example whether an installation is still pending or already done.
- Extract the details with AI. AI analyses each ticket and extracts the key information: location, number of units, product type, requesting company, request date, completion date and the agent in charge.
- Turn it into a clear output. The extracted data is transformed into a visible output the client can read at a glance, instead of a pile of individual tickets.
The result
The client now has a clear view of their installation work. Pending, new and completed jobs are easy to tell apart, and every installation comes with its location, units, products, company, dates and the agent responsible.
That clarity makes planning easier, follow-ups faster, and conversations with their own customers more confident.
Is this you?
If your operational data is locked inside support tickets, AI can bring it out into the open. Contact us to see how your tickets could become a clear, live picture of your business.