BellyGood
How BellyGood Automated Its Sales Order Cycle with appse ai in 7 Days
Asia Pacific Oceania
Disclaimer
BellyGood, 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 BellyGood's use case would run on appse ai today.
Shopify ↔ Microsoft Dynamics 365 Business Central, automated with appse ai
- Company
- BellyGood
- Parent Company
- TungLok Group (established 2013)
- Headquarters
- Tai Seng Street, Singapore
- Industry
- Food & Beverage — Halal-Certified Catering
- Employees
- 201–500
- Website
- bellygood.com.sg
- Awards
- Top 10 Food Center (2022), Best Caterer (2021), Top 5 Merchant (2021/2022)
- Integration Scope
- End-to-end workflow automation, real-time bi-directional sync, automated sales order cycles, comprehensive business data mapping, centralized monitoring and analytics dashboard
- Deployment Timeline
- 7 days
About BellyGood
Based on Tai Seng Street, Singapore, BellyGood is a Halal-certified caterer and part of the TungLok Group, established in 2013, with 201–500 employees. The business has won Top 10 Food Center (2022), Best Caterer (2021), and Top 5 Merchant (2021/2022) recognitions. BellyGood runs Shopify as its eCommerce platform alongside Microsoft Dynamics 365 Business Central as its ERP.
The Operational Challenge
BellyGood's eCommerce and ERP platforms operated in isolation, creating inefficient data management across departments. Manual data transfer between the two systems consumed significant manpower and carried a high risk of data redundancies and errors. Limited operational flexibility and slow processing speed hindered scalable growth, and automating BellyGood's complex sales order cycle was itself a significant implementation barrier.
The problem
Running Shopify and Dynamics 365 Business Central as isolated systems surfaced specific problems for BellyGood:
- 01
Isolated eCommerce & ERP Platforms
Isolated platforms created inefficient data management across departments.
- 02
Manual Data Transfer
Manual transfer between systems consumed significant manpower.
- 03
High Risk of Data Redundancies & Errors
Manual processes created a high risk of duplicate and inaccurate data.
- 04
Limited Flexibility & Slow Speed
Operational flexibility and speed constraints hindered scalable growth.
- 05
Complex Sales Order Cycle
Automating BellyGood's complex sales order cycle was itself a major implementation barrier.
This is the exact pattern appse ai exists to remove: an award-winning caterer's storefront and ERP running as two isolated systems, with a complex sales order cycle and manual data transfer standing between the business and the scalable growth its market recognition was setting it up for.
Why appse ai
BellyGood needed a platform that could automate a genuinely complex sales order cycle across Shopify and Dynamics 365 Business Central, deploy quickly, and eliminate the manual data transfer that was consuming manpower and introducing errors.
appse ai's pre-configured Shopify + Dynamics 365 Business Central connector delivered end-to-end workflow automation, real-time bi-directional sync, and automated sales order cycles — deploying in just 7 days, faster than a traditional custom integration.
The solution: automated sales order cycle & data sync
Instead of manually transferring data and managing a complex sales order cycle by hand, appse ai deployed a pre-configured connector across BellyGood's Shopify-to-Dynamics 365 stack:
- End-to-End Workflow Automation
Workflows run automatically across both Shopify and Dynamics 365 Business Central.
- Real-Time Bi-Directional Data Synchronization
Data syncs automatically in both directions between systems.
- Automated Sales Order Cycles
BellyGood's complex sales order cycle runs automatically, removing what had been a major manual bottleneck.
- Comprehensive Business Data Mapping
Business data is mapped comprehensively across both platforms.
- Centralized Monitoring & Analytics Dashboard
A centralized dashboard gives the team visibility into integration performance and business data.
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
- Eliminated manual data exchange between applications
- Improved organization-wide business process efficiency
- Enhanced data consistency and accuracy for a better customer experience
- Enabled scalable eCommerce growth
- Streamlined sales order cycles
- Faster deployment than traditional custom integrations (7 days)
Frequently Asked Questions
How does appse ai integrate Shopify with Microsoft Dynamics 365 Business Central?
appse ai deploys a pre-configured connector delivering end-to-end workflow automation, real-time bi-directional sync, automated sales order cycles, comprehensive business data mapping, and a centralized monitoring dashboard.
