E-commerce

How We Achieved 65% TicketDeflection for an E-commerceBrand

We deployed AI-driven order support and ticket deflection that lowered costswhile improving response speed and customer satisfaction.

65%

Ticket Deflection

40%

Lower Op. Costs

2.5x

Customer Satisfaction

Order Support Overview

Orders Today

1.2k

Tickets Deflected

65%

CSAT Score

4.8

Live Activity

Order #48291: Tracking update sent automatically
Order #48304: Return label generated by AI
Order #48318: Escalated to human agent
Order #48322: Proactive delay notification sent

The Challenge

The e-commerce brand faced rising support volume around orders, returns, and shipping—with costs outpacing revenue growth.

  • Most tickets were repetitive order status and return requests
  • Support agents lacked real-time order context during conversations
  • Slow responses hurt satisfaction during peak sales periods
  • Manual workflows increased operational costs per ticket
  • No automation between storefront, warehouse, and help desk tools

Peak season broke our support team every year. We needed automation that actually understood orders—not another generic chatbot.

Director of E-commerce Operations

Direct-to-Consumer Brand

Our Solution

We integrated AI order support that pulls live commerce data and resolves common requests before they become tickets.

  • Order-aware AI assistants connected to storefront and WMS
  • Automated tracking, returns, and refund workflows
  • Smart deflection across chat, email, and help center
  • Agent console with full order and shipment context
  • CSAT and cost analytics tied to automation performance

Customer Requests

  • Storefront Chat
  • Email & SMS
  • Marketplace Orders
  • OMS & WMS

AI Order Engine

  • Order Lookup
  • Return Automation
  • Shipping Updates
  • Escalation Rules

Support & Ops

  • Agent Console
  • Live Order Context

Commerce Ops Hub

  • Order Status Board
  • SLA & Exception Alerts
  • CSAT & Cost Reports

The Results

AI support automation launched before peak season and sustained high deflection rates without sacrificing customer experience.

65%

Ticket deflection rate

40%

Lower operational costs

2.5x

Customer satisfaction lift

4x

Faster resolution on order issues

Viiva AI Systems handled our order volume spike without adding headcount. Customers get instant answers, and our team handles the exceptions.

Director of E-commerce Operations

Direct-to-Consumer Brand

Technologies Used

Python
Machine Learning
AWS
Google Maps API
PostgreSQL
React
Node.js
Twilio

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