Lagbe

The Problem

Local service booking, vendor commerce, and customer interactions are typically fragmented across various disjointed channels. Traditional systems lack unified billing, real-time coordination, location-based dispatching, and dynamic vendor scheduling. This leads to friction for clients and scheduling inefficiencies for merchants.

The Idea

Build a cohesive, multi-tenant marketplace platform that bridges customers, service professionals, and retail merchants. The platform coordinates real-time booking, dispatch, communication, and payment processing under a unified dashboard, enabling a seamless local economy.

The Approach

Leverage Laravel to build a highly scalable, queue-driven backend engine, combined with a modular Vue.js single-page application for the admin and merchant consoles. For the mobile experience, use Flutter to deliver performant, native iOS and Android apps using a shared Dart codebase.

Engineering Architecture

[ Customers / Mobile App ] <--- WebSockets ---> [ Laravel Server ] <---> [ Redis Queue ]
                                                       |
                                                 [ MySQL DB ]
                                                       |
[ Vendors / Web Dashboard ] <--------------------------+

Real-Time Synchronization

To coordinate bookings, we built a real-time notification engine using WebSockets. When a customer requests a service, the system runs a spatial proximity query in MySQL, identifies eligible local vendors, and dispatches job opportunities through a background worker queue in Redis.

Payment & Escrow System

Implemented split-payment flows using local payment gateways (SSLCommerz) and international processors (Stripe). Transactions support authorization-and-capture cycles, allowing funds to remain in escrow until a service contract is verified.

Challenges & Solutions

• Challenge: High database read-write loads during peak morning dispatch hours caused query blocking.
• Solution: We introduced a layered caching system using Redis, offloaded analytical metrics calculations to asynchronous queue jobs, and optimized spatial indexes for coordinate searches. This minimized API request overhead and sustained sub-100ms response times.

Current Status

Currently in active development and live beta testing. We are monitoring system throughput, refining merchant onboarding flows, and expanding mobile features.