E-commerce fulfilment centre with packing stations and a support agent at a dashboard
All case studies
E-Commerce & D2CAI Automation

Customer support automation

Order status, returns and exchanges handled without a support agent

Three quarters of support tickets were about order status, returns or exchanges, and the queue doubled every sale. We automated those tickets end to end, connecting the help desk, Shopify and the carriers, and left agents with the conversations that need a person.

Client
Shopify D2C apparel brand
Region
Australia
Scale
25 to 40 employees
Timeline
5 weeks

Representative engagement. Client details are anonymised and figures reflect typical outcomes from comparable deployments.

What the client got

0%

Tickets resolved with no agent

Status, returns and exchanges handled end to end.

0 hrs

Median resolution time

Down from two days during sale periods.

0%

Fewer chargebacks

Customers get answers before they call their bank.

The bottlenecks

  1. Bottleneck 1

    Where is my order dominated the queue

    Agents looked up tracking and pasted it into replies hundreds of times a day.

  2. Bottleneck 2

    Returns were a multi-step manual process

    Check eligibility, generate a label, update the order, confirm receipt, issue the refund. Each step was a different tab.

  3. Bottleneck 3

    Sale periods broke the team

    Ticket volume tripled during promotions, response times slipped to days, and chargebacks followed.

What we built

  1. Step 1

    Intent detection and order matching

    Every ticket is classified and matched to the customer's order in Shopify automatically.

  2. Step 2

    Order status answers from carrier data

    Status tickets are answered with live tracking, estimated delivery and proactive notices if a parcel is delayed, with no agent involved.

  3. Step 3

    Self-service returns and exchanges

    Eligible customers receive a return or exchange flow: reason, label, and for exchanges a new order created on receipt. Refunds issue automatically when the warehouse scans the parcel.

  4. Step 4

    Exceptions to agents, with context

    Damaged items, policy exceptions and upset customers reach an agent with the order, history and a suggested resolution.

The automation workflow

Support ticket automation flow

Ticket to resolution, agent only on exceptions

01

Ticket

Email, chat, social

02

Intent

Status, return, exchange, other

03

Match Order

Shopify lookup

04

Carrier Data

Live tracking

05

Resolve

Label, refund or exchange

06

Exceptions

Agent with context

Step 1 of 6
6 steps · Fully automated
StackGorgiasShopifyCarrier APIsOpenAIMake.com

Questions clients ask about this engagement

What if the return policy has exceptions?

Eligibility rules are encoded exactly as the policy is written. Anything outside them goes to an agent with a recommendation.

Does it work with Gorgias or Zendesk?

Both, plus Freshdesk and Shopify Inbox. The help desk stays the agent's workspace; automation happens around it.

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Have a similar bottleneck?

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