Benchmark Report 2026

Every 3rd support ticket is automated.

What AI really delivers in e-commerce customer service in 2026 – data from 131 shops and 2.9M resolved tickets.

131 shops2.9M ticketsJune 2025 – June 2026Real production dataLast updated: July 2026
Jump to methodology

Key findings

  1. 0132.9% of all resolved tickets are automated (AI or workflows).
  2. 02AI resolves 4.9% of all tickets entirely without humans – but whenever AI touches a ticket, it closes 1 in 5 (20.3%) end-to-end.
  3. 03AI-resolved tickets close in 1.9 days (median) instead of 3.0 days manually – roughly 37% faster.
  4. 04Workflow-automated tickets close in 1.0 day – roughly 65% faster.
  5. 05In peak season (Q4 / Black Friday) total automation rises to 35.2% – workflows absorb the rush.
  6. 06Email remains the most important support channel at 63% – Instagram (15.4%) ranks ahead of WhatsApp (11.2%).
Finding 01

A third runs without your team.

32.9% of all resolved tickets are automated – by AI or a no-code workflow. AI touches 24.2% of all tickets and resolves 4.9% end-to-end. Sounds small? Whenever AI touches a ticket, it closes 1 in 5 entirely on its own.

Automation in customer service

n = 131 shops · Jun 2025 – Jun 2026
Total automation32.9%
AI-touched24.2%
AI resolves end-to-end4.9%

Share of all resolved tickets. Bar length relative to the highest value.

Time to resolution (median)

n = 131 shops · Jun 2025 – Jun 2026
Workflow1.0 days
AI1.9 days
Manual3.0 days

Median across all resolved tickets, by resolution path.

Finding 02

Automated means clearly faster.

AI-resolved tickets close after a median of 1.9 days instead of 3.0 days manually – roughly 37% faster. Workflow-automated tickets close in 1.0 day, roughly 65% faster. For your customers that means: an answer before they follow up.

Finding 03

Email dominates. Instagram beats WhatsApp.

Email remains the most important support channel in e-commerce at 63%. Behind it things get interesting: Instagram (15.4%) ranks ahead of WhatsApp (11.2%) – social channels have long been support channels.

Support channel mix

n = 131 shops · Jun 2025 – Jun 2026
63%Email
Email63.0%
Instagram15.4%
WhatsApp11.2%
Facebook5.1%
Widget2.2%
TikTok1.7%

Share of incoming support tickets by channel.

Peak season vs. rest of the year

n = 131 shops · Jun 2025 – Jun 2026
35.2%
Peak season (Q4)
32.1%
Rest of the year

Total automation (AI + workflows), share of resolved tickets.

Finding 04

In peak season automation goes up – not the stress.

Q4 with Black Friday is the stress test for every support team. That is exactly when total automation climbs to 35.2% (vs. 32.1% for the rest of the year) – workflows absorb the rush before it reaches your team.

The one number

“Whenever AI touches a ticket, it resolves 1 in 5 without any human.”

20.3% end-to-end resolution rate on AI-touched tickets
Transparency

Methodology & definitions

So you know what you are citing: how we measured.

AI-resolved

AI resolves the ticket completely – no human, no workflow.

Workflow-automated

A no-code flow leads to the resolution.

Total automation

A workflow or any form of AI involvement.

Cohort & window. We analysed 131 shops that had been live for at least 60 days and had ≥ 50 resolved tickets; test accounts were excluded. The observation window is June 2025 to June 2026. Segments are only reported from n ≥ 20 customers upwards.

Limitations

  • The sample consists of Chatarmin customers and is not representative of e-commerce as a whole.
  • Automation rates depend heavily on setup, industry and ticket mix – individual values vary widely.
  • What counts as a "ticket" can differ between helpdesk systems.
FAQ

What you want to know about the numbers

No answer here? Write to us – we reply personally.

In our data 32.9% of all resolved tickets run automated – by AI or workflow. Purely AI-resolved with no human involvement at all: 4.9%. That is the realistic state of play in 2026, measured across 2.9M tickets.

The average across 131 shops is 32.9% total automation. Anything above that beats the benchmark – though the value depends heavily on industry, ticket mix and setup.

Because they usually count something else: "AI replied" instead of "AI resolved". We measure end-to-end on real production data – no demo accounts, no cherry-picking. That makes our numbers smaller, but reliable.

From the Chatarmin platform itself: 131 shops, 2.9M resolved tickets, June 2025 to June 2026. Only accounts live for at least 60 days with ≥ 50 resolved tickets, test accounts excluded. Details in the methodology.

Cite this study

Source: Chatarmin AI Customer Service Benchmark 2026, n = 131 shops