Fulfilment requests out, shipment confirmations and tracking events back into Shopify, so customers see real status and your team sees the exceptions. Any 3PL or WMS with a machine readable surface.
140 stores built, 8 years on the platform, senior engineers only
Codioo connects Shopify to 3PLs and warehouses: fulfilment requests flow out automatically, shipment confirmations and tracking events flow back into Shopify, and an exceptions screen shows exactly which orders are stuck and why. Integrations start at $3,000, run three to four weeks, and support ShipBob, Red Stag, Ryder, custom WMS platforms and SFTP based exchanges.
Three flows and one screen. Everything else is configuration.
Paid orders route to the right warehouse automatically, with splits, holds and priority rules you define.
Tracking numbers and carrier data post back to the right order line, triggering customer emails without anyone pasting anything.
Stock counts per warehouse flow back on schedule and on change, with buffer rules and cutoffs respected.
Return authorisations flow out, receipts flow back, and refunds trigger per your policy rules.
Integration options
Most 3PLs already have a preferred route. We work with it, or around it when it fails you.
Option 1
Your 3PL's Shopify app, where one exists: cheapest, sometimes excellent, sometimes a red badge with no detail. Suits standard flows and patient teams.
Option 2
Connector platforms your 3PL supports. Fast setup, monitored, with subscriptions and logic limits. Suits multi warehouse estates changing shape.
Option 3
Direct integration against the 3PL's API or your WMS, with your routing rules, exception handling and reconciliation. Yours outright, cheapest at volume.
| Factor | Native connector | iPaaS | Custom API build |
|---|---|---|---|
| Upfront cost | Lowest | Medium | Highest |
| Ongoing cost | Low or free | Subscription | Hosting only |
| Custom routing rules | Limited | Some | Unlimited |
| Exception visibility | Varies | Dashboards | Your screen, your rules |
| Warehouse changes | Wait for vendor | Reconfigure | Adapt in days |
| Best for | Standard setups | Multi partner | Control and scale |
The mapping decisions that take the longest are never technical. Which warehouse serves which region when two can. Whether a kit ships assembled or as components. What happens to partial picks when one line goes out of stock mid wave. The flow audit turns each of these into a written rule with an owner, because the code is easy once the business has decided, and endless when it has not.
Returns are the flow everyone forgets until November. A complete 3PL integration carries return authorisations out to the warehouse, receipts back into Shopify, refunds triggered per your policy rules, and stock returning to sellable or write off states correctly. Peak season return volume routinely exceeds outbound on some days in December, which is exactly when a manual returns process breaks loudest.
Cut off times and delivery promises are conversion features, not just operations settings. When the integration knows the warehouse cut off, the storefront can promise same day dispatch truthfully, and that promise measurably converts. We wire the timing data through so the promise on the product page and the parcel leaving the dock agree with each other.
Fulfilment integrations fail in the gaps: the order the warehouse could not find, the tracking number that never came back, the split shipment where line two went silent. Happy path automation is table stakes. What we build first, after the flows, is the exceptions screen: every order in a non clean state, grouped by reason, one click from the fix. Ops teams stop running saved searches every morning and start working a list that maintains itself.
Peak season is the design constraint that matters. Black Friday week multiplies order volume several fold in hours, so the integration throttles, batches and prioritises rather than dying politely. Load testing against triple your best day is in the contract, and the drills deliberately include the 3PL being slow, because at peak everyone is slow and the queue is what keeps truth intact.
The same spine every time, sized to your 3PL. Each step ends with something you can read, click or sign.
Step 1
Week 1
We map what actually happens today: data owners, volumes, timing, failure rituals. Ends with the fixed quote and the migration matrix.
Step 2
Week 1
Native, iPaaS or custom, costed over three years at your volumes, written down and signed before anything is bought or built.
Step 3
Weeks 2 to 4
Flows implemented with idempotency, retries and reconciliation from the first commit, rehearsed on shaped copies of your records.
Step 4
Week 4 or 5
We pull the plug deliberately: the target system slow, the network gone, a record malformed. The queue catches it, the alert names it, the runbook answers it.
Step 5
1 to 2 weeks
New sync and old process run together while daily reconciliation compares them. Switch off the old way only when the report is boring.
Step 6
Ongoing
Monitoring, reconciliation reviews and API release tracking for both ends, so upgrades land as maintenance instead of incidents.
Fulfilment drift is expensive in refunds, support hours and repeat purchase rates. These are the leaks we find most often.
Any manual step between the warehouse system and Shopify, including inbox copy paste, delays customer notifications and invites transcription errors.
Rising WISMO tickets usually mean tracking data is late, wrong or missing in Shopify. Customers check order status more than any other page.
Manual routing decisions that should be rules: region, stock level, cut off times. Every manual routing choice is a delay and a mistake waiting to happen.
If Black Friday week needs extra people to push orders and chase confirmations, the integration lacks the throughput your business now has.
Returns processed in the 3PL portal that never flow back to Shopify leave refunds late, stock wrong and customers guessing.
Every integration we ship carries the same three safety nets, regardless of route. First, alerting: when a record fails, the alert names the record and the reason, so your ops team fixes data, not code. Second, retries with a dead letter list: transient failures resolve themselves, and stubborn ones queue for a person instead of disappearing.
Third, daily reconciliation: a one page report comparing both systems on the trailing window, listing every mismatch. It is the difference between trusting a sync and hoping about it, and it is why finance teams become the integration's biggest fans after month end stops being a data entry project.
What your ops team sees
Timeline and cost
Short projects with outsized operational payoff.
| Project type | Price from | Timeline | What is included |
|---|---|---|---|
| Single 3PL connection | $3,000 | 3 to 4 weeks | Fulfilment out, tracking back, exceptions screen |
| Multi warehouse routing | $5,000 | 4 to 6 weeks | Routing rules, splits, per location inventory |
| Peak readiness add on | $1,500 | 2 weeks | Load test at 3x best day, throttling, drills |
| 3PL care plan | $450/mo | Ongoing | Monitoring, reconciliation, exception triage |
Updated 2026-09-21. Prices in USD, fixed per signed scope. The cost guide covers what moves integration pricing.
Hearthside Living
Hearthside Living sells across two storefronts and a marketplace while stock truth lives in NetSuite. The nightly sync ran every six hours, so peak se...
<2 min
Order sync latency
The questions ops and finance teams ask before signing.
Tell us your systems and volumes. Within one business day you get the flow map, the recommended route (native, iPaaS or custom) and a fixed price.