SevertoSeverto
Case studies

Real results, no names on the label.

Three companies in different industries, the same approach: identify the manual work, remove it, then measure the time we gave back. Client names stay confidential.

Case 01
Industry

Fashion e-commerce

Company size
45 employees · €18M ARR
Technology used
ShopifyOpenAI GPT-4n8nZendeskSlack
Challenge

The customer care team was manually answering 400+ daily tickets about order status, returns and stock availability, with response times over 12 hours during peaks.

Solution

We built an AI agent connected to Shopify, the courier and the WMS that autonomously handles repetitive enquiries in 4 languages and escalates only complex cases to humans, fully pre-documented.

Workflow architecture
Shopify→OpenAI GPT-4→n8n→Zendesk→Slack
Schematic — system architecture available under NDA
Results
Avg. response time
Before
12h
After
<2 min
Tickets handled by humans
Before
100%
After
22%
Return rate
Before
9.4%
After
6.5%

78% of tickets resolved without human intervention, average response time under 2 minutes and a 31% drop in returns thanks to clearer pre-sales answers.

“In two months we shrank the support team from 7 to 3 people without losing a single positive review. If anything, customers thank us for the speed.”
Daniel A. — Head of Operations
Case 02
Industry

Logistics & transport

Company size
120 employees · 60+ drivers
Technology used
Custom portalTelegram Bot APIFleet GPSERP integrationn8nPostgreSQL
Challenge

Daily coordination of 60+ drivers ran on WhatsApp and Excel, with invoicing errors, forgotten trips and 6 hours a day lost by dispatchers reconciling data.

Solution

A tailored internal dispatch portal integrated with the fleet GPS, the invoicing ERP and a Telegram bot for drivers, with automations that generate invoices and daily reports on their own.

Workflow architecture
Custom portal→Telegram Bot API→Fleet GPS→ERP integration→n8n
Schematic — system architecture available under NDA
Results
Daily reconciliation
Before
6h
After
20 min
Missed trips / month
Before
12
After
0
Margin per trip
Before
Baseline
After
+22%

Daily reconciliation dropped from 6 hours to 20 minutes, zero missed trips in 4 months and a 22% margin increase per trip thanks to properly calculated prices.

“For the first time in ten years of business, we close the month in three days instead of two weeks. The back office is finally doing its real job.”
Enrico B. — Managing Director
Case 03
Industry

Private medical clinic

Company size
30 employees · 12 doctors
Technology used
Custom bookingWhatsApp Business APIGoogle WorkspaceOpenAIMake
Challenge

Bookings were handled by phone with 18% no-shows, double bookings across doctors and a manual patient pre-screening process clogging the front desk.

Solution

An integrated online booking system, automated WhatsApp and email reminders, a smart pre-visit questionnaire that routes patients to the right specialist, and full sync with doctors' calendars.

Workflow architecture
Custom booking→WhatsApp Business API→Google Workspace→OpenAI→Make
Schematic — system architecture available under NDA
Results
No-show rate
Before
18%
After
4%
Appointments / month
Before
Baseline
After
+35%
Front-desk hours saved
Before
0h
After
9h / week

No-shows down from 18% to 4%, +35% appointments per month with no extra staff, and 9 hours a week given back to the front desk to care for patients on site.

“Patients love the instant confirmations and the front desk no longer lives with a phone glued to their ear. The investment paid back in under three months.”
Andreea M. — Clinic Manager

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