Background

The sales team was growing more mobile, and the backend needed to support it. Before any mobile app could be built, the foundation had to be right:

Solution

I built Force Sales Cloud as the dedicated backend infrastructure for the sales force operation, implementing a Clean Architecture approach with a strict 4-layer structure. The goal was to separate concerns clearly so the system could evolve — new features added, infrastructure swapped — without ever touching the core business logic.

Implementation

The architecture was divided into four layers: Domain for core logic, Application for use cases, Infrastructure for data persistence, and Presentation for the Web API surface. Entity Framework Core was used to scaffold the existing legacy database, modernizing data access without disrupting the live database structure.

A Repository Pattern with Dependency Injection was applied throughout for clean data abstraction, making the codebase easier to test and maintain over time. The RESTful endpoints were designed specifically for high-speed synchronization between the Flutter mobile app and the central logistics database. Deployment was handled through a dotnet publish workflow integrated with IIS for consistent, high-availability service delivery.

Impact

Background

The POS ecosystem was working well on the floor, but management had a different problem:

Solution

Rather than rebuilding the POS system, I extended it with a web-based reporting dashboard that plugged directly into the existing ASP.NET Web API. The idea was to bring the data to wherever management was — phone, tablet, or laptop — without duplicating business logic or maintaining a separate data pipeline.

Implementation

The frontend was built with Laravel Livewire, enabling reactive, real-time interfaces without full page reloads. Alpine.js handled lightweight interactivity where needed. The system consumed the same API endpoints already powering the desktop POS, ensuring the numbers on the web dashboard were always consistent with what the cashiers were seeing on the floor.

The UI was optimized for cross-device use — responsive layouts that worked cleanly on mobile screens without sacrificing readability. Data fetching was tuned to handle large transaction volumes from SQL Server without putting pressure on mobile bandwidth.

Real-time Sales Analytics — Visualization of critical sales metrics for instant strategic decision-making.
Real-time Sales Analytics — Visualization of critical sales metrics for instant strategic decision-making.
Multi-Branch Reporting — In-depth report module with branch filtering for large-scale data audits.
Multi-Branch Reporting — In-depth report module with branch filtering for large-scale data audits.

Impact