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.
D2C · E-COMMERCE OPERATIONS
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.

Choose an action to see what it writes back across your systems.
01 / WHERE THE HOURS GO
These are the four places the work leaks most often. Most firms have at least two of them running right now.
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.
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.
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.
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
Ranked by how fast they usually pay back. The free audit puts your own numbers in the last column.
| Use case | Today | With Chronexa | Typical impact |
|---|---|---|---|
| Order & delivery support | Agents answer "where is my order" by hand | Answered from live order and tracking data, 24/7 | 60%+of tickets resolved automatically |
| Returns & exchanges | Processed manually, mostly refunded | Policy applied automatically, exchanges offered first | 20–30%of returns kept as exchanges |
| Inventory & purchasing | Stock checked by hand, stockouts discovered late | Sell-through forecast, purchase orders drafted for approval | 3 weeksearlier warning |
| Reviews & customer messages | Mostly unanswered | Replied to in brand voice, themes summarised weekly | 100%response coverage |
| Operations reporting | Pasted together every Monday | One daily digest across store, ads, email and support | Hours → 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
We connect what you already run first. APIs where they exist, MCP servers and careful automation where they do not.
04 / THE CONTROLS
The controls are designed in from the first workflow, not added after something goes wrong.
The AI can only refund, discount or reship within limits you set. Anything above them waits for a person.
Replies are written in your tone from your own past answers and guidelines, and reviewed before going fully automatic.
Customer data stays in your systems, consent is respected on email, SMS and WhatsApp, and every action is logged.
05 / THE ENGAGEMENT
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.
RELEVANT WORK

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 built06 / START WITH ONE WORKFLOW
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.
You will be talking to the engineers who would build it, not an account manager.info@chronexa.io
Rather write it down first?
A FEW GOOD QUESTIONS
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.
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.
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.
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.
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.