Perry Ellis · Yotpo
1.4% — conversion rate
Independently reportedRetail & e-commerce · Customer support · NLP · Scaled
Artificial intelligence, professionally covered
Customer support
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by tryswivl.com (vendor self-report). Checked against the source page on 2026-09-05. 9 of 10 figures below appear on that page word for word; the rest are marked.
Phones failed to scale and costs escalated as the company grew. Agents gave bad information, leads were delayed, and calls rolled over, leading to missed opportunities and lost revenue.
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
“We were able to cut our call center expense by 93%.”
Quoted word for word from the source
“its voice AI now books nearly 90% of the rentals swivl generates each month”
Quoted word for word from the source
“~$39.3K new monthly rent added”
Quoted word for word from the source
“22,721 conversations handled since launch”
Quoted word for word from the source
“37,062 calls worked since launch, only 263 of them passed to a person, a 0.7% transfer rate.”
Quoted word for word from the source
“Average response time ran about 30 days, and individual weeks swung from same-day to over six months. Since the auto-replies fully ramped, the average is about 2.6 hours”
Quoted word for word from the source
“We are running over 10,000 calls through swivl in a quarter and 84% of them never need to reach a person on our team.”
Quoted word for word from the source
“$95.7 collected through swivl payment pages. Payments collected span voice, web chat and SMS.”
Not found on the source page in these words
“About 2,750 of the 2,900 reviews in the window, at 200 to 300+ a month.”
Quoted word for word from the source
“Held near 4.9 stars across 2,800+ reviews as monthly review volume roughly doubled.”
Quoted word for word from the source
“We were able to cut our call center expense by 93%.”
1.4% — conversion rate
Independently reportedRetail & e-commerce · Customer support · NLP · Scaled
1200+ — Reservations booked by AI
Vendor-reportedTravel & hospitality · Customer support · NLP · In production · 2025
18000000 — staffing capacity created
Vendor-reportedHealthcare · Customer support · LLM · In production
52% — Overall set rate
Vendor-reportedConstruction & real estate · Customer support · AI agents · Scaled
60% — Asset growth absorbed without contact center team expansion
Vendor-reportedBanking & finance · Customer support · LLM · Scaled · 2022
92% — Customer Satisfaction Score (CSAT)
Vendor-reportedTelecom · Customer support · NLP · Scaled · 2014