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CASE STUDIES
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Vending operator
AI-Powered WhatsApp Support for a Vending Operator
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CLIENT
Vending operator
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TIMELINE
2 months
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SERVICES
Operational AI Agents
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OVERVIEW
Operational AI Support for a Distributed Machine Network
This operator runs a network of unattended machines across busy public venues, where customers expect an instant fix when something goes wrong. Every support request came in by WhatsApp and was handled by hand, one message at a time.
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CHALLENGES
One Person, Hundreds of Repetitive Requests
All WhatsApp support ran through a single person. Without a structured intake, the same questions were answered differently each time and information was captured inconsistently, which made it hard to spot recurring issues or keep quality steady as volume grew.
How do we scale support without scaling the team, while keeping quality high?
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SOLUTIONS
A Structured AI Support Agent on WhatsApp
Triad built an AI automation that handles every incoming WhatsApp message and enforces a consistent intake before any answer is given.
Understands each request and asks for the details it needs before acting
Answers routine questions instantly, around the clock
Carries out operational actions itself, not just replies
Keeps every conversation consistent, so quality no longer depends on who is on shift
Sends anything unusual to a person, with the full context attached
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RESULTS
Consistent Support, Zero Extra Headcount
The system handles the full first line of support on its own. Only genuine edge cases reach a person, so the team can grow the operation without growing the headcount.
70%
Less human interaction
24/7
Support coverage
400%
Growth possible
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CASE STUDIES
