An e-commerce retailer drowned in repetitive tickets, where is my order, how do I return this, can you change the address. A support AI agent now handles the routine and passes only the rest to the team.
Most tickets were routine and repetitive, but each one still waited for an agent to be free, look up the order, and reply. Volume spiked at night and on sale days, the queue grew, and customers waited hours for an answer they could have had at once.
We built a support agent connected to the order system and the helpdesk. It reads each incoming ticket, looks up the order, answers the routine ones, takes simple actions like an address change, and hands the rest to a person with the context attached.
We set guardrails on what the agent could do alone, ran it in suggest-only mode beside the team to check its answers, then let it handle the routine on its own once it proved accurate. Refunds and exceptions still wait for a person.
The agent went live in five weeks.
The agent now resolves about 70 percent of routine tickets on its own, replies in minutes at any hour, and the team spends its time on the cases that need judgement. The queue no longer piles up overnight, and customer wait times dropped sharply.
Our agents pick up the routine tickets the moment they arrive, look up the order and reply, and only pass us the ones that need a person. The queue stopped piling up overnight.
Book a short call with our AI team and see where a support agent pays back fastest.
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