Disclaimer
Aromatherapy Associates, a company from the APPSeCONNECT customer base. appse ai is APPSeCONNECT's own product, built with significantly more advanced automation and AI capabilities. This case study has been adapted to reflect how Aromatherapy Associates's use case would run on appse ai today.

Shopify ↔ Microsoft Dynamics NAV, automated with appse ai
- Company
- Aromatherapy Associates
- Headquarters
- London, Middlesex, United Kingdom
- Industry
- Beauty & Cosmetics — Health & Wellness
- Employees
- 11–50
- Integration Scope
- Sales orders, inventory, invoices, customer & shipping details
About Aromatherapy Associates
Aromatherapy Associates is a customer of APPSeCONNECT. appse ai is APPSeCONNECT's own product, built with significantly more advanced automation and AI capabilities. This case study has been adapted to reflect how Aromatherapy Associates' use case would run on appse ai today.
Aromatherapy Associates is a global essential oils and wellness brand founded in 1985 by Geraldine Howard and Sue Beechey, who trained under renowned aromatherapist Micheline Arcier. Operating out of London, Middlesex, for over 30 years, the company has grown from a small range of therapeutic-grade products into a multi-award-winning wellness collection sold worldwide, built entirely on the finest ingredients and the founders' original intent: pairing people with the therapeutic blend that's right for them.
The operational challenge
Aromatherapy Associates ran a Shopify webstore to sell to customers globally and Microsoft Dynamics NAV to manage back-end operations, but the two applications worked in isolation. As order volume grew, managing data across departments became a major setback to growth: order and inventory data had to be maintained across multiple applications, and countless man-hours were lost to manually updating data between the two systems. The company needed an end-to-end integration that could automate its business processes and deliver the data-driven insights it needed for better planning.
The problem
As order volume grew across the Shopify storefront, three specific problems surfaced repeatedly in Aromatherapy Associates' Shopify-to-Dynamics NAV workflow:
- 01
Slow, manual order processing
With Shopify and Microsoft Dynamics NAV working in isolation, the growing number of website orders became difficult to process quickly, since every order had to be manually keyed across systems before fulfillment could begin.
- 02
Disconnected inventory & order data
Maintaining order and inventory data across two separate applications was tedious and counter-productive, pulling the team's time away from growth-focused work and into repetitive reconciliation.
- 03
Wasted man-hours on manual data transfer
Sales orders, inventory data, invoices, and customer and shipping details all had to be transferred manually between Shopify and Dynamics NAV, costing significant man-hours and limiting the business's ability to operate with agility and flexibility.
This is the exact pattern appse ai exists to remove: two systems holding the same data with no automated bridge between them, and a fast-growing brand paying for that gap in lost hours and slower fulfillment.
Why appse ai
Aromatherapy Associates needed a smart, end-to-end integration between its eCommerce and ERP applications that could automate its business processes and deliver the data-driven insights required for better planning, without adding manual overhead to an already-stretched team.
appse ai delivered reliable, end-to-end integration between Shopify and Microsoft Dynamics NAV, using pre-packaged templates for a quick launch and enabling automated business cycles that improved operational productivity across the board.
The solution — always-on, bidirectional workflows across orders, inventory & invoicing
Instead of manually transferring data between two disconnected systems, appse ai deployed always-on workflows built for Aromatherapy Associates' full order-to-fulfillment cycle:
- Bidirectional Sync of Essential Business Data
Orders, inventory, invoices, and customer and shipping details sync automatically between Shopify and Microsoft Dynamics NAV, removing the manual transfer that used to eat into the team's time.
- Direct Order Sync to the ERP
Orders placed on Shopify flow straight into Microsoft Dynamics NAV, decreasing order processing time and streamlining fulfillment from the moment a customer checks out.
- Live Inventory Sync Across Channels
Inventory updates automatically across both systems, keeping stock data current everywhere the brand sells, and giving the team detailed reports to support faster, more confident decisions.
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
With always-on, bidirectional workflows keeping Shopify and Microsoft Dynamics NAV in constant sync, Aromatherapy Associates closed the gap between its storefront and its ERP:
- Decreased order processing time, with orders syncing directly from Shopify to Microsoft Dynamics NAV.
- Live inventory sync keeps stock accurate across every sales channel.
- Reduced manual effort — eliminates manual data entry and data redundancies.
- A centralized, single point of truth for business-critical data across departments.
- Lower operational costs through reduced total cost of ownership (TCO).
- An enhanced, consistent customer experience that builds long-term loyalty.
- Fast, seamless implementation with pre-packaged templates for a quick launch.
appse ai provided detailed explanations of how the integration affects each department involved in processing our eCommerce orders, and delivered speedy solutions for every requirement we had.
Frequently asked questions
How does appse ai integrate Shopify with Microsoft Dynamics NAV?
appse ai uses pre-packaged, end-to-end integration templates to deliver bidirectional sync of orders, inventory, invoices, and customer and shipping details between Shopify and Microsoft Dynamics NAV, with automated business cycles that remove manual data transfer.

