Time House Company
How Time House Company Scaled Multi-Channel Retail with Unicommerce and SAP Business One SL Integration
Europe, the Middle East and Africa
Disclaimer
Time House Company, 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 Time House Company's use case would run on appse ai today.
Unicommerce ↔ SAP Business One SL, automated with appse ai
- Company
- Time House Company
- Headquarters
- Dubai, UAE
- Industry
- Retail & Distribution (Watches, Bags, Luggage, Toys)
- Founded
- 2011
- Employees
- 50–200
- Website
- timehouse.store
- Scale
- 5,000+ SKUs across three marketplaces and a web store
- Integration Scope
- Order sync, invoice sync, customer sync, inventory sync, conditional filtering, automated tax engine (GST/SGST/IGST), batch tracking, field transformation
- Implementation
- Three phases — Discovery & Workshops, Build/Test/Iterate (two weeks of sandbox testing, 1,000+ orders/hour throughput benchmark), Go-Live & Training (silent go-live over a low-volume weekend)
About Time House Company
Launched in Dubai in 2011, Time House Company sells watches, bags, luggage, and toys, bringing global brands to customers at fair prices across its web store, multiple marketplaces, and physical retail outlets. With 50–200 employees serving the wider Middle East from its Dubai headquarters, the company runs a lean team with deep product knowledge and prioritizes agile operations to match market shifts. Time House runs Unicommerce for sales and order management alongside SAP Business One SL as its backend ERP.
The Operational Challenge
By mid-2023, Time House faced escalating operational friction as the business scaled. Manual data handling consumed more than 10 hours a week on data entry. Complex fulfillment logic relied on Excel macros that frequently failed. Flexible tax rules — GST, SGST, and IGST — changed by region and weren't automated. Batch and inventory tracking lacked line-item automation. The company's old connector tool had no retry mechanism, causing repeated crashes. With over 5,000 SKUs live across three marketplaces and a web store, real-time accuracy was essential but unreachable — the team ran daily exports and imports to align stock and orders and still missed data changes. As mis-shipped orders rose, so did customer inquiries, and the legacy process couldn't keep pace with promotional campaigns and seasonal sales spikes.
The problem
Running Unicommerce and SAP Business One SL on a legacy, unreliable connector surfaced escalating problems for Time House Company as it scaled past 5,000 SKUs across three marketplaces:
- 01
Manual Data Entry Burden
Manual data handling consumed more than 10 hours a week.
- 02
Fragile, Macro-Dependent Fulfillment
Complex fulfillment logic relied on Excel macros that frequently failed.
- 03
Unautomated Regional Tax Rules
Flexible tax rules (GST, SGST, IGST) changed by region and weren't automated.
- 04
No Line-Item Batch Automation
Batch and inventory tracking lacked line-item automation.
- 05
Unreliable Legacy Connector
The old connector tool had no retries, causing repeated crashes.
- 06
Scale Outpacing the Process
Over 5,000 SKUs across three marketplaces and a web store required real-time accuracy that daily exports/imports couldn't deliver, leading to mis-shipped orders and rising customer inquiries — especially during promotional and seasonal spikes.
This is the exact pattern appse ai exists to remove: a fast-scaling multi-channel retailer's order management and ERP running on a fragile, manual-heavy connection, with SKU volume and promotional spikes exposing every crack in a legacy integration.
Why appse ai
Time House needed a platform with low-code design, robust pre-built connectors for Unicommerce and SAP Business One SL, automated regional tax handling, line-item batch tracking, and reliability at scale — with a partner aligned to its growth goals.
appse ai's low-code ProcessFlow designer, out-of-the-box Unicommerce and SAP B1 SL connectors, flexible data transforms, built-in retry mechanisms and alerting, real-time dashboards, and security-first architecture (AES-256 encryption, ISO 27001 compliance) made it the platform Time House selected to support its next phase of omni-channel growth.
Phase 1 — Discovery & Workshops: Deep-dive sessions captured every business rule, mapping order states, stock thresholds, tax zones, and custom transport codes, and documenting API limits and peak-load scenarios.
Phase 2 — Build, Test & Iterate: ProcessFlows were configured for order, invoice, customer, and inventory sync, with iterative UAT cycles, performance tuning, and error-handling refinements over two full weeks of sandbox testing. Automated test scripts validated data consistency, and performance benchmarks confirmed throughput of 1,000+ orders per hour, backed by exception workflows for rapid issue notification.
Phase 3 — Go-Live & Training: A silent go-live took place over a low-volume weekend, with cutover scripts moving historical data. By Monday, every new order flowed automatically. Hands-on training on live dashboards, user guides, and quick-reference sheets were paired with post-go-live support for rapid issue resolution.
The solution: automated order, invoice, customer, inventory & tax sync
Instead of manually reconciling exports and fixing broken macros, appse ai deployed a full set of automated, bi-directional workflows across Time House's Unicommerce-to-SAP cycle:
- Order Sync
Automated Sales Order or AR Invoice creation flows directly from Unicommerce into SAP Business One SL.
- Invoice Sync
Real-time AR invoice flows trigger automatically for completed orders, accelerating billing cycles.
- Customer Sync
Customer records are created instantly in SAP as orders come in.
- Inventory Sync
Live stock updates flow from SAP to Unicommerce, keeping availability accurate across all channels.
- Conditional Filtering
Orders process automatically based on stock and status rules.
- Tax Engine
GST, SGST, and IGST logic is applied automatically by region, moving tax calculations out of spreadsheets.
- Batch Tracking
Line-item batch numbers and custom transport codes are handled automatically.
- Field Transformation
Flexible data mapping bridges structural differences between Unicommerce and SAP.
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 — backed here by real-time dashboards with exception alerts and a scalable microservices design built for peak-volume events.
The results
- 80% reduction in manual data entry
- Sub-2-minute sync across systems
- 15% improvement in on-time delivery
- 10-point lift in customer satisfaction score
- Errors reduced to nearly zero
- 20+ staff hours freed weekly from manual data tasks
- Inventory accuracy rose, preventing stockouts and backorders
- Tax calculations moved out of spreadsheets
- Billing cycles accelerated as AR invoices auto-generated
What's next
Time House now plans to add two new marketplaces next quarter and roll out mobile-friendly dashboards for field teams, expanding with confidence on a foundation built for next-phase omni-channel growth.
Frequently Asked Questions
How does appse ai integrate Unicommerce with SAP Business One SL?
appse ai builds a bi-directional connection between Unicommerce and SAP Business One SL, syncing orders, AR invoices, customer records, and inventory, with an automated regional tax engine, line-item batch tracking, and flexible field transformation.
