01
Shopify ↔ Dynamics 365
Items, stock, orders, and customers between Shopify and Business Central or F&O — posting profiles and tax groups mapped so finance trusts the numbers.
integrations
Integration architecture that stays reliableunder change.
Shopify to ERP to CRM — orders, inventory, and customers moving on rails you can see. Built with retries, idempotency keys, and alerts, because an integration's failure mode is silence.
integration busevent throughput stable
core domains
Built for the systems that actually drive revenue and operations.
02
Shopify ↔ Salesforce
Orders and customers into Sales or Marketing Cloud, lifecycle signals back to the store — with field mapping agreed up front, not discovered in production.
03
Order & fulfillment sync
Orders, fulfillments, tracking numbers, and cancellations kept consistent — including the awkward cases: partials, exchanges, address edits after payment.
04
Inventory & catalog sync
Stock and product data on a visible schedule with drift detection, so overselling is caught in minutes instead of at pick time.
05
Payment rails & reconciliation
Moneris and Stripe wiring — like the dues and event payments we built for the Chiropractic Association of Canada — with settlements matched back to orders.
06
Monitoring & replay
Queue depth and failure dashboards, alerts that reach a human, and replay tooling that reprocesses a bad batch without paging a developer.
straight talk
Why integrations break.
Every rescue we've done traces back to one of four causes. We build against them from day one.
01
Identifier drift
A SKU gets renamed in one system and not the other, and matching quietly falls apart. We pin one canonical ID per entity; everything else is a label.
02
Silent failures
A webhook 500s, nobody notices, and weeks of orders go missing. Every flow we build reports its own health — a missed run raises an alert, not a shrug.
03
Spreadsheet workarounds
When staff stop trusting the sync, they export CSVs — and now there are two sources of truth. We treat a new spreadsheet as an incident to fix, not a habit to accept.
04
Retries done wrong
Replays without idempotency keys create duplicate orders, so nobody dares rerun anything. Ours are safe to run twice — which means they actually get run.
engineering principles
Practical patterns that reduce long-term integration risk.
Contract first
Define event contracts and ownership before writing adapters.
Asynchronous by default
Use queue-backed flows to keep systems resilient under load.
Replay and recovery
Design for retry paths and controlled backfills from day one.
Observable operations
Expose failure states and processing latency to operational teams.
engagement
Scoped, quoted, monitored.
Free consultation
We map what you have — systems, flows, failure points — and tell you what we'd fix first. No charge.
Fixed-quote projects
New integrations and rescues quoted up front, usually sequenced highest-damage flow first.
Monitored from $850/month
We watch the flows we build (and ones we didn't), handle failures, and ship small changes monthly. No long-term contract.
faq
Integration questions, answered.
Yes — much of our integration work starts as a rescue. We map what exists, add monitoring so failures are visible, then fix in order of business damage.
// related
Where this usually connects.
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