◆ Vol. III · No. 24· Apr 18, 2026 ·
Support Fabric
◆ Case study · Beauty & Skincare · DTC ◆

ByMishi did $228K in 72 hours with zero support agents.

Before Support Fabric, seven live-chat agents couldn't keep up with ByMishi's sale-day volume. Thousands of messages went unanswered. After, a single three-day promotion moved 800 orders, and the inbox was quiet.

$228K
Revenue · 3-day sale
800
Orders · 72 hours
20%
Chat to purchase
0
Agents needed

Before: “Even with seven people, we couldn't keep up.”

ByMishi had grown faster than its support could handle. Every flash sale turned into a triage operation. Seven chat agents, working in shifts, trying to reply to a message queue that only ever grew. A question about sizing would sit for forty minutes. A pre-sale cart abandonment was already lost by the time someone answered.

“It wasn't that we were understaffed,” Mishi says. “It's that the work was the wrong work. Nobody was doing anything creative. We were all just typing the same five answers into the same five windows.”

Pull Quote
“We went from seven agents drowning to zero agents needed. Our biggest sale day in company history, and I checked the dashboard twice.”

After: the 72-hour sale.

ByMishi went live on Support Fabric on a Monday. Their flash sale was ten days later, a stress test nobody asked for. Three days. 800 orders. $228K in revenue. Across WhatsApp, Instagram DMs, Messenger, and the website chat widget, Support Fabric handled every incoming question, sizing, stock, shipping windows, returns, and closed carts from DMs without ever sending the customer to a browser.

The headline number is conversion: 20% of chat conversations ended in a purchase. The boring number is what matters. Seven people who spent every sale day tethered to chat were doing something else.

Before
Avg. response40+ min
Chat conversion6%
Agents on sale day7
UnansweredThousands
After · Support Fabric
Avg. response<30 sec
Chat conversion20%
Agents needed0
Unanswered0

What changed, specifically.

  • Instagram DM shoppers could cart and check out without leaving the app.
  • Voice notes about damaged products were understood directly, no transcription step.
  • Product recommendation flows caught “which one is right for me?” and turned them into orders.
  • Returns were processed to policy; only true edge cases reached Mishi's inbox.
Mishi's Take
“The biggest change isn't the revenue. It's that I ran a $228K sale and wasn't in it. I was at a wedding. I looked at my phone twice.”
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