Case Study · AI Agents · Workflow Automation

AI Order Triage & Support Automation for an E-Commerce Brand

E-Commerce · Workflow Automation · Support

By Dnyanesh Chandewar, Founder, CyberCore Digital · November 2026

78%

Tickets auto-resolved

4.1h → 8min

Average response time

1,000+

Daily support tickets handled

The Challenge

An e-commerce brand handling 1,000+ daily support tickets was drowning in repetitive requests.

What We Built

An AI triage system that auto-classifies incoming tickets
Routing rules that send each ticket to the right place
Automatic resolution of routine requests without a human touch

The Result

The system now auto-resolves 78% of tickets without human involvement, and average response time fell from 4.1 hours to 8 minutes. The detailed breakdown, including what we deliberately chose not to automate, is in our teardown post.

For the full story, read What 78% Ticket Deflection Actually Looks Like. If you run a B2B SaaS support queue, see AI support agents for B2B SaaS.

How the engagement ran

Like every CyberCore engagement, this one followed four steps: scope and success metric, build and integrate, test against real data, then launch and hand off. Delivery is at a fixed price agreed up front, the client owns the system, and 30 days of post-launch support are included. Related service: What 78% Ticket Deflection Actually Looks Like.

AI Agents OpenAI Workflow Automation E-Commerce

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