D2C · E-COMMERCE OPERATIONS

Grow orders. Not the ops team.

Every jump in orders brings the same work with it: "where is my order" tickets, returns, stockouts, supplier chasing and reports stitched together on Monday morning. We build the AI layer across Shopify, your helpdesk and your 3PL that handles that volume, so growth stops meaning another hire.

Usually Shopify, Klaviyo, Gorgias and your 3PL.Your stack stays. We connect it and put AI on the repetitive work.

Operations desk · commercePick an item · try an action

#support

ChronexaAGENT

Order #48217: customer asks where her order is

Shopify
Paid 6 days ago, 2 items, $128
3PL
Shipped day 2. Carrier shows "exception: address issue".
Customer
Second contact. First-time buyer.

Choose an action to see what it writes back across your systems.

THE STACK.
WHAT WE CONNECT.
ShopifyKlaviyoGorgiasShipStationMeta AdsSlack

01 / WHERE THE HOURS GO

More orders mean
more of the same tickets.

These are the four places the work leaks most often. Most firms have at least two of them running right now.

Helpdesk
"Where is my order?"41% of tickets
First response19 hrs
01 / SUPPORT

Most tickets ask the same question.

Order status, address changes and returns make up most of the inbox. Each one takes a person a few minutes, and the queue grows with every sale.

Best seller in stock9 days
Supplier lead time21 days
02 / INVENTORY

Stockouts are discovered, not predicted.

Stock is checked by hand. A good ad week or a viral post empties a best seller before anyone reorders, and the ads keep spending on a product you cannot ship.

Monday report
03 / REPORTING

Monday morning goes on the weekly report.

Shopify, ads, email and support numbers are pasted into one sheet. By the time it is ready, the decisions it should inform are already late.

Reviews
New reviews this week230
Replied to12%
04 / CUSTOMER VOICE

Reviews and DMs go unanswered.

Customers tell you what is wrong in reviews, comments and DMs. Nobody has time to read them all, so the product and marketing lessons are lost.

02 / WHERE AI PAYS BACK

Five places to start,
with the numbers.

Ranked by how fast they usually pay back. The free audit puts your own numbers in the last column.

60%+
of support tickets resolved without a person
Seconds
to first response, 24/7
3 weeks
earlier warning on stockouts
15 min
longest gap before a missed lead is recovered
Use caseTodayWith ChronexaTypical impact
Order & delivery supportAgents answer "where is my order" by handAnswered from live order and tracking data, 24/760%+of tickets resolved automatically
Returns & exchangesProcessed manually, mostly refundedPolicy applied automatically, exchanges offered first20–30%of returns kept as exchanges
Inventory & purchasingStock checked by hand, stockouts discovered lateSell-through forecast, purchase orders drafted for approval3 weeksearlier warning
Reviews & customer messagesMostly unansweredReplied to in brand voice, themes summarised weekly100%response coverage
Operations reportingPasted together every MondayOne daily digest across store, ads, email and supportHours → 0per week of reporting

Typical results from systems we have delivered and comparable deployments. Your audit replaces them with your own numbers.

03 / SYSTEMS WE CONNECT

Your stack stays.
We make it work as one.

We connect what you already run first. APIs where they exist, MCP servers and careful automation where they do not.

Shopify & Shopify PlusOrders, customers, products and inventory
Gorgias, Zendesk & FreshdeskTickets, macros and customer history
Klaviyo & PostscriptEmail and SMS flows triggered from real events
ShipStation, ShipBob & 3PLsFulfilment, tracking and exceptions
Meta & Google AdsSpend, performance and the daily brief
Loop & ReturnlyReturns and exchanges
Google Sheets & BigQueryReporting and forecasting data
Slack & WhatsAppAlerts, approvals and customer messaging

04 / THE CONTROLS

Automate the volume.
Keep the brand.

The controls are designed in from the first workflow, not added after something goes wrong.

Refund and discount limits

The AI can only refund, discount or reship within limits you set. Anything above them waits for a person.

Your brand voice

Replies are written in your tone from your own past answers and guidelines, and reviewed before going fully automatic.

Customer data handled properly

Customer data stays in your systems, consent is respected on email, SMS and WhatsApp, and every action is logged.

05 / THE ENGAGEMENT

Agreed in writing
before anything is built.

Scope, what counts as working, and the price. Built in your own accounts, documented and exportable. The free audit comes first, and so does the first workflow.

Built for you.
Owned by you.
  • 01A map of your support, fulfilment and reporting flows
  • 02A support agent answering from live order and tracking data
  • 03Returns and exchange automation within your policy
  • 04Inventory forecasting and purchase order drafts
  • 05Review and DM replies in your brand voice
  • 06Event-triggered email and SMS through Klaviyo
  • 07A daily operations digest across every channel
  • 08Connections to Shopify, your helpdesk and 3PL
  • 09Documentation and a handover, in your accounts
What sits outside the scope
  • Running your ads or creative strategy.
  • Replacing your helpdesk or Shopify plan.
  • Customer messaging without consent.

RELEVANT WORK

We have built this before.

We run this stack for our own brands

We design, build and operate D2C brands on Shopify, including LUMIQ, our own skincare brand, with a ten-role AI studio and a senior designer signing off each step. The automation behind them is the same we install for clients.

Our lead pipeline captures every Meta lead in real time, sends consent-aware WhatsApp replies and checks for missed webhooks every 15 minutes, so no lead is lost.

See the stores we built

06 / START WITH ONE WORKFLOW

Show us the ticket
your team answers most.

A strategy call covers your store, your helpdesk and your fulfilment. You leave knowing which work AI can take off the team first, and what it would cost to prove it.

  1. Where the support and ops hours go
  2. Which limits keep the brand safe
  3. A scope and a price, in writing

You will be talking to the engineers who would build it, not an account manager.info@chronexa.io

Rather write it down first?

We read it before the call, so the call starts at your problem.

A FEW GOOD QUESTIONS

Before you start.

Can AI really handle e-commerce customer support?

For the most common questions, yes. "Where is my order", address changes, returns and product questions can be answered from live order, tracking and product data, in your brand voice, at any hour. Anything unusual, upset or above your limits goes to a person with the full context. Most brands see the majority of routine tickets resolved without anyone touching them.

Does this work with Shopify, Gorgias and Klaviyo?

Yes. We connect through their APIs: Shopify for orders, products and inventory; Gorgias, Zendesk or Freshdesk for tickets; Klaviyo for email and SMS triggered from real events. Your existing stack stays.

Will the AI give away refunds or discounts?

Only within the limits you set. You decide the amounts, reasons and customer types where it can act on its own. Everything else waits for a person, and every action is logged.

We are a small brand. Is this worth it yet?

It depends on volume. If you handle a few dozen tickets a week, a good helpdesk with macros may be enough, and we will say so. The payback usually starts when support, inventory and reporting begin to need another person.

What does it cost?

There are no packages. The audit is free and so is the first workflow. After that, each build is quoted against the support and operations time it removes, and you approve the scope and price before work starts.