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Fashion

How Lpanx Turned CX Into a Business Driver and Cut Handle Time in Half

Lpanx

As we implemented Uouoduo, I noticed the responses and the thoughtfulness and the personalization tied to our human agents also became better, because they had other examples of what good work might look like.

Kylah

CX Lead, Lpanx

Challenge

CX three years ago is not CX today. As volume grew, Lpanx's team was spending most of its time on repetitive tier-one conversations — the kind that keep agents in the queue rather than moving the business forward.

Kylah, the CX lead, tracked the usual stack: CSAT, NPS, average handle time, SLA. The team needed to handle more volume without losing the personal touch that defines the brand.

Solution

Kylah had a non-negotiable that narrowed the field fast: brand voice and tone had to come first. Full stop. She could work backward from there on everything else.

Uouoduo's responses became part of the team's daily environment. The thoughtfulness, the personalization, the way a product recommendation was framed — it all started to blend seamlessly with the rest of the CX team.

Going further, Kylah hired someone whose sole job is to own the AI agent end-to-end: living inside the product, understanding new releases, QA-ing responses, and fine-tuning tone and voice.

Results

50%

of conversations automated

Uouoduo now handles half of Lpanx's conversations, freeing the team for higher-value work.

2x

faster handle time

Average handle time has been cut in half since implementing Uouoduo.

+5-7

points CSAT

CSAT is up five to seven points — driven by both AI and human agents performing at a higher level.

The unexpected outcome: AI making human agents better. As the agent's responses became part of the team's daily environment, agents started emulating them — the thoughtfulness, the personalization, the framing. Customers even started treating it less like a bot and asking for the agent by name.

The team isn't pinned to the inbox anymore. Agents who used to live in the queue are now surfacing insights across the organization — pulling positive customer quotes for marketing, feeding product teams real-time feedback, and flagging defect signals.

The metrics moved, and so did the boardroom conversation. Kylah believes this is where CX hiring is headed — not more agents to handle volume, but AI strategists skilled enough to manage a portfolio of AI tools and make them work together.

For brands still on the fence, Kylah's guidance is straightforward: when you do the work, it pays dividends.

Ready to see it for your brand?