Dynon Avionics — Autonomous Order Processing, Zero Manual Re-Entry
Dynon Avionics, a U.S.-based avionics manufacturer, automated order processing between its Shopify storefront and Sage 300 ERP using appse ai. Four always-on workflows eliminated manual data entry, cut order errors to near zero, and saved the operations team 5–15 hours per week — absorbing sales growth without adding headcount.
North America
Shopify (Advanced Panel Store) ↔ Sage 300 ERP, automated with appse ai
- Company
- Dynon Avionics
- Headquarters
- Woodinville, Washington
- Industry
- Manufacturing & Distribution (Avionics)
- Employees
- 51–200
- Integration Scope
- Orders, customers, products, addresses
- Time in Production
- 1–2 years
About Dynon Avionics
Dynon Avionics is a U.S. manufacturer of advanced avionics for experimental, light sport, and certified aircraft — glass cockpit displays, flight instruments, autopilots, and communication systems. Founded in 2000 and headquartered in Woodinville, Washington, the company serves aircraft builders and pilots through its Shopify-based Advanced Panel Store, with Sage 300 running backend finance, inventory, and order processing. As online orders grew, the gap between storefront and ERP became a bottleneck that manual processes could not sustain.
When growing online sales meet outdated manual processes
Dynon runs its e-commerce operation on Shopify and manages backend operations — finance, inventory, and order processing — on Sage 300. Both systems held critical business data, but they were not connected. Every new Shopify order required someone on the team to manually transfer data into Sage 300: creating the order, setting up the customer, verifying addresses, and mapping products to the correct ERP item codes.
For manufacturers selling precision parts online, manual order entry is not just slow — it is a compliance and safety risk. In the avionics industry, a single data mismatch, such as the wrong SKU, a mistyped address, or an incorrect customer record, can trigger incorrect shipments, fulfilment delays, invoicing problems, and support calls from frustrated buyers. Dynon needed a way to move data between Shopify and Sage 300 automatically, without adding headcount to handle back-office work.
The problem
As Dynon's online sales grew, the gap between Shopify and Sage 300 created three operational bottlenecks that no amount of manual effort could scale past:
- 01
Manual order entry
Every Shopify order had to be re-keyed into Sage 300 by hand. Errors, delays, and wasted hours compounded with every spike in volume.
- 02
Product mapping errors
Shopify SKUs and Sage 300 item codes lived in separate systems with no automatic link — and in avionics, a wrong part shipped isn't a minor inconvenience, it can ground an aircraft build.
- 03
Messy customer records
Customers were set up manually in Sage 300 after each order, piling up duplicates and stale addresses that caused delivery failures.
This is the exact pattern appse ai exists to remove: connected systems that still depend on a human to bridge the last mile between them.
Why appse ai
Dynon evaluated integration options for its Shopify + Sage 300 stack. The requirements were clear: autonomous workflows that run without human babysitting, native support for Sage 300's customer, order, and item entities, and the ability to handle Shopify's GraphQL API without custom middleware.
appse ai delivered pre-built Sage 300 and Shopify connectors with closed-loop automation — detect, resolve, execute, and only escalate genuine exceptions. Deployment covered four production workflows without requiring Dynon to hire integration specialists or manage a middleware stack. The platform’s low-code configuration and pre-mapped data templates meant the team could go live in days, not months.
The solution — 4 autonomous workflows
Instead of leaving Dynon's team to manually reconcile Shopify and Sage 300 line by line, appse ai deployed four always-on workflows that watch both systems and act the moment something changes — no dashboards to babysit, no queues to clear by hand.
- Product WebID Sync (Shopify GraphQL API)
Continuously links every Shopify product to the correct Sage 300 item, closing the SKU-to-item-code gap that risked mis-shipped parts.
- Automated Sales Order Creation
Pushes Shopify orders into Sage 300 the moment they're placed — no re-entry, no queue.
- Customer Auto-Creation from Orders
Creates the Sage 300 customer record instantly when a new Shopify order arrives, instead of waiting on manual setup.
- Customer Address Add & Update
Keeps billing and shipping addresses reconciled across both systems automatically.
Each workflow runs as a closed loop: detect the event in one system, resolve it against the other, execute the update, and only surface an exception to a human when judgment is genuinely required.
The results
- 70–90% reduction in manual order entry effort
- 5–15 hours saved per week for the operations team
- Order matching errors and sync failures dropped to near zero
- Duplicate customer records nearly eliminated
- First-time shipping accuracy improved — critical in a category where the wrong part can ground a build
- Scales with order volume — Dynon absorbed sales growth without adding headcount to operations
- No additional integration staff required — the platform runs autonomously with exception-only escalation
Once implemented, runs smoothly. Good technical support.
Frequently asked questions
How does appse ai integrate Shopify with Sage 300?
appse ai connects Shopify and Sage 300 through pre-built connectors that automate order creation, customer setup, product mapping, and address synchronisation. Workflows run autonomously — detecting changes in one system and executing updates in the other without manual intervention. The platform supports Shopify's GraphQL API and Sage 300's native entity model out of the box.
