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Project title:
Build Integration to send IONOS Web Orders to Kipos POS
Posted by:
External project from PeoplePerHour
Started:
07-Jan-2026 04:58 GMT
Description:
We run a food takeaway and need a developer to build an integration so that orders placed on our IONOS webstore are automatically sent into our Kipos account (https://app.kipos.uk/) and print straight to our kitchen/printer setup with no manual re-entry.

This must be production-ready: fast, reliable, and built to handle busy service periods.

What the integration must do
1) Capture new online orders from IONOS
Detect new orders as soon as they’re paid/confirmed (or the correct “ready for kitchen” status)
Pull all relevant order data:
Order ID, timestamp
Customer name + phone/email
Delivery vs collection
Address (delivery) / pickup details (collection)
Requested time: ASAP vs scheduled (time slot if applicable)
Customer notes (allergies, “no onions”, etc.)
Items, quantities, variants
Modifiers / add-ons / extras (e.g., “extra cheese”, “no sauce”, spice level)
Discounts / delivery fee / tips (if present)
Payment method/status

2) Create the order in Kipos exactly as the kitchen needs it
Push the order into Kipos so it lands in the correct screen/queue as an online order
Map all the required fields
Ensure delivery/collection is correctly set and visible on print tickets
Include requested time clearly (especially for scheduled orders)

3) Auto-printing to kitchen printers
Orders arriving in Kipos should auto-print to our configured printer(s), or be inserted into the correct Kipos workflow/status that triggers printing.

Key requirements (takeaway-specific)
Modifier & note handling (critical)
Must support multiple modifiers per item, and multiple items each with their own notes
Preserve formatting so the ticket is easy to read during service

Handle edge cases like:
“No X” and allergy notes
Duplicate prevention + reliability
No duplicate tickets/orders if a webhook retries or the sync is re-run
Retry + failure handling:
Automatic retries
Clear error logs
Optional alert (email) if an order fails to sync
Operational timing
Webhook/event-driven preferred (near-instant)
Polling acceptable only if webhooks aren’t available, but it must still be reliable and efficient

Security
Secure credential storage (environment variables/secret store)
HTTPS, least-privilege access

Preferred technical approach
We’re open to the best implementation, but we expect this to be either:
Middleware service (recommended): listens for IONOS orders and posts to Kipos
or
Direct plugin/integration if IONOS supports it.

Deliverables
Working live integration: IONOS → Kipos order creation + printing workflow

Configuration options:
Which order status triggers sending
Item/modifier mapping method
Logging dashboard or structured logs (success/failures, retries, duplicates)

Documentation:
Setup steps
How to update menu/mappings
Troubleshooting guide

Test evidence:
At least 10 varied test orders (modifiers, delivery/collection, scheduled/ASAP)

Source code + handover (Git repo or zip)
Short post-launch support period (bug fixes)

Acceptance criteria
A new IONOS order appears correctly in Kipos within an agreed time (e.g., under 60 seconds if webhook-based)
Ticket prints automatically (or via correct Kipos status trigger) without staff interaction
Items, modifiers, notes, times, and delivery/collection details are accurate and readable
No duplicates under retries/network issues
Clear logs for each order’s sync status

To include in your proposal
Your recommended approach (webhooks vs polling, architecture, hosting)
Relevant experience (POS integrations, online ordering, printers/kitchen workflows)
Estimated cost + timeline (phased: build → test → deploy)
What you need from us (API access, sample menu, Kipos printer workflow details)

Info we can provide to speed things up
Sample orders (with modifiers/notes)
Our current IONOS product list/menu structure
Screenshot/video of our Kipos order screen + print output requirements
Printer setup details inside Kipos (single printer or multiple stations)
Project ID:
3464611
Project category:
Project budget:
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