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Shopify handles the storefront well. The work that follows an order - messaging, fulfilment coordination, attribution, commissions, support - is usually still manual.
Connects with
Built around the tools you already run. Nothing here requires replacing your existing stack.
The store converts. Then someone exports a CSV, updates a courier sheet, messages the customer, calculates an affiliate commission by hand, and answers the same delivery question for the twentieth time. Volume growth turns all of that into a hiring decision.
What it looks like
Left is the workflow most teams run today. Right is the route the system takes instead.
Manual today
Automated route
Shopify emits the order event and the workflow picks it up immediately - no export, no polling delay.
The referral, affiliate or campaign responsible is resolved and stored against the order at the moment it is created.
Confirmation and shipping updates go out on WhatsApp or email using approved templates.
Internal tasks, courier records and inventory adjustments are created from the order data itself.
Multi-level commission is computed against the order and written to an auditable ledger.
An agent answers status and policy questions from live order data instead of routing them to a person.
Scheduled jobs check store, ledger and payout figures against each other and flag the differences.
Scope is chosen in discovery. Most engagements start with one or two of these rather than all of them.
Webhook-driven fulfilment tasks, inventory adjustments and internal notifications.
Order, shipping and delivery updates on WhatsApp and email, triggered by real store events.
Attribution capture, multi-level commission calculation, partner dashboards and payout ledgers.
An agent that answers status, returns and policy questions from live order data.
Recovery sequences on the channel the customer actually reads, within platform policy.
Store data connected to accounting, CRM, internal portals and reporting.
We connect what you already run rather than asking you to migrate.
Payouts, refunds and cancellations are built as approval steps, not autonomous actions. The system calculates and presents; a person authorises anything that moves money.
Stated as operational changes rather than percentages. We measure against your own baseline after launch.
Eight steps, start to finish. Discovery is where scope gets decided - not before.
Usually not. Most of this is built as a service that talks to Shopify's Admin API and webhooks, which keeps your logic under your control and avoids app-store constraints. If distribution to other merchants is the goal, a proper app is the right shape and we would build it that way.
Yes - it is one of the things we are building on iLoveSurprises. The difficult part is not the percentage maths, it is attribution rules, self-referral prevention, clawbacks on returns, and keeping a ledger that reconciles. That is where the design effort goes.
Yes. The pattern is the same - webhook in, business logic, action out. The store platform is an integration target rather than the architecture.
We work alongside them. If an app already does a job well there is no reason to rebuild it. Custom work is worth it where apps cannot reach: logic specific to your business, or integration between systems that have no shared connector.
Tell us how the process runs today. We will map what can be automated, what should stay manual, and what it would take to build.
