AI operations for retail
and ecommerce.
Orders, returns, stock, customer service and loyalty data working as one system, so your team stops copying between spreadsheets.
Your refund policy becomes rules in the system, and a person approves every exception.
minutes per return, once it runs inside your systems
See the workflow, step by step →What we run
in businesses like yours.
Five places the same order, item or customer gets typed in again.
Returns checked against the order and the policy before anyone approves the refund.
WhatsAppReturn for order 4471 is within policy: 12 days, unworn. Refund of AED 340 ready.
One stock figure for the store, the website and every marketplace.
SlackBlue jacket, size M: 3 in store, 0 online. Online stock updated from the store count.
The usual questions answered with the real order status.
ZendeskReply drafted for “where is my order?” with tracking from the courier.
Also run: Loyalty data, Supplier invoices.
One order,
carried by hand or run for you.
The customer return, station by station: today, carried by hand through the tools you already use; with us, running on its own and stopping once, for the store manager.
Joined on one record,
nothing replaced.
We join the systems you already run around the order. Your people keep the tools they know.
- Store platformShopify or your storefront
- Order managementOMSOMS
- WarehouseWMS or stock sheet
- AccountingWhere refunds are booked
- Helpdesk and WhatsAppCustomer conversations
- MarketplacesEvery channel you sell on
- Consumer protection rules
- Your refund policy, written as rules in the system
- UAE PDPL for customer data
- Where customer data may live
- What is logged, per order
- A person approves every exception
- 01Trust pack
- 02Walk-through
- 03Discovery
- 04Build and Run
One figure,
one quote.
Minutes per return in the example workflow above. Real figures appear here only with the client’s permission.
“Your firm could be the first retail case study here: one figure, one quote, both signed off by you.”—Case study slot · we never name a client without permissionFigure from the example workflow above
01Will it work with our store platform?
Most store platforms, order systems and marketplaces have the access we need. We confirm yours in Discovery, before any price is fixed.
02Will customers know they are talking to AI?
Replies are drafted in your tone and approved by your team before they go out. What you tell customers is your decision.
03What happens with refunds?
Your policy is written as rules. Anything outside them goes to a named person to approve.
04Can it work in Arabic?
Yes. Messages and updates are drafted in English and Arabic, and approved by your people before they go out.
Show us
one process.
In 30 minutes we'll tell you whether AI can fix it, and if it can't, we'll say so.