Every customer call answered, all quarter.
Scaling inbound support for Flo Mattress across WISMO and product queries, with answer rate held above target and AI being layered into the highest-impact cases.
AI + Human blend · inboundFlo Mattress is a direct-to-consumer sleep brand in India, selling mattresses and sleep products online. As the brand scales, so does the volume and complexity of its customer support.
Scaling support without dropping the ball.
Volume outpaced availability
High ticket volume was outrunning availability, so calls were missed and resolutions slipped.
WISMO and product cases
Where-is-my-order and product queries needed fast, accurate answers at scale.
CSAT under pressure
Missed calls and slower resolutions were weighing on customer satisfaction.
Escalations not handled live
Complex cases needed real-time supervisor support to keep responses timely.
Human coverage now, AI on the high-impact cases.
A scaling inbound desk that answers fast, acts in real time, and escalates the hard cases live.
Inbound query
WISMO & productAnswered fast
Zero missed callsService Provider
Resolves on the callReal-time actions
Order creation & validationLive escalation
Supervisor supportAI on high-impact cases
Scaling toward 60%Coverage that scales, held to the numbers.
Availability at scale
The Service Provider network flexes with ticket volume, so calls get answered even as demand climbs.
AI where it pays off
AI is being layered into the highest-impact cases, up to 60%, to handle routine volume faster.
Real-time system actions
Orders are created and validated live on the call, so WISMO cases close in a single touch.
Escalations handled live
Complex cases route to supervisor support in real time, keeping responses timely.
Coaching that cuts errors
Daily feedback sessions brought repeat error rates down through the quarter.
Zero missed calls
A tight availability model held agent missed calls at zero across the quarter.
Above target on answering, tight on handle time, zero missed.
Answer rate held above the 95% target every month. CSAT stayed steady at 79% as volume scaled, average handle time held at four minutes, and agent missed calls stayed at zero throughout.
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