Integrations that keep agreeing with each other on day 400.
Every integration demo works. The interesting question is what happens the first time the ERP is down for an hour, an order is edited after it was already exported, or someone changes a SKU in one system and not the other. Silent drift is the normal failure mode, and it is usually discovered by finance, months later.
We build syncs that are idempotent, replayable and reconcilable: every run can be repeated safely, every discrepancy is visible, and a failure is a re-run rather than a manual clean-up. That is less exciting than the demo and it is the entire value.
What the engagement actually contains.
Getting Shopify to agree with the rest of your stack: ERP, 3PL, marketplaces, accounting, warehouses and whatever the finance team exports.
- 01
ERP, 3PL and marketplace sync
Orders, inventory, fulfilments, returns and catalogue, mapped in both directions with an explicit source of truth per field — the argument worth having before the code.
- 02
Reconciliation you can read
A record of what was sent, what was accepted and what diverged, so "are these two systems in agreement?" is a page rather than an investigation.
- 03
Reporting pipelines and scheduled exports
Reports built on the data model rather than screenshots of it, delivered on a schedule to the inbox, bucket or warehouse that actually gets read.
- 04
Rate-limit-safe by construction
Bulk operations, cursors and backoff written against Shopify’s cost-based limits, so a catalogue-wide run completes rather than throttling into a partial state.
- 05
Metafields and metaobjects as the contract
Where external identifiers and state live, defined explicitly, so the next integration has somewhere to attach instead of inventing its own convention.
Where we have already done this.
Our own catalogue, not a case study written for this page. Every name below is public software you can open right now.
Easy Reports & Data Export
60+ scheduled reports running daily and monthly for a single merchant, for over two years — scheduled data movement in production, not a prototype.
Easy Metafields
Metafields applied to orders, products and customers automatically — the plumbing integrations depend on.
Crawley Cloud
Our own data-extraction platform: rendering, proxies, scheduling and clean JSON out. High-volume pipelines are a product we operate.
What people ask before starting one of these.
Our ERP has no real API. Is that a blocker?
Usually not. Flat-file drops, SFTP, a database replica or a scraped export are all workable inputs — they just change where the fragility sits, so the sync has to validate and reconcile harder. We will say plainly which parts will be brittle and what they will cost to keep running.
Should we buy a connector instead?
If an off-the-shelf connector covers your case, buy it — we will tell you so. Custom work earns its keep when the mapping is genuinely yours: split fulfilments, bundle components, multi-currency accounting, or rules a generic connector flattens.
How do we know it is still working six months later?
Because it says so: sync runs are monitored, discrepancies raise alerts, and there is a reconciliation view. Integrations that only report success when someone checks are the ones that fail quietly.
More general questions — cost, ownership, what happens after launch — are answered on the home page FAQ.
Have a integrations & data project?
Send the spec and an engineer answers within 48 hours — how we would build it, the rules that apply, and a price. The first working build follows days later, not quarters.
- A costed answer within 48 hours
- A working build you can click in days, not quarters
- Fixed price or T&M, quoted before we start
- Server, domain, SSL and monitoring handled — or shipped into your cloud
- You own the repo, the Partner account and the infrastructure
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