CASE STUDY: RideFlow Group

RideFlow — The Premium Fleet Dispatch Platform

IndustryOn-Demand Mobility
Timeline5 Months
Core ArchitectureNext.js + React
90%
Render Speed Boost

The Infrastructure Challenge

Rendering hundreds of active vehicles, coordinate paths, and custom routes on a single dispatcher map without UI slowdown or exceeding API usage quotas.

The Engineering Flex

We bypassed generic framework options and constructed a modular, optimized algorithm directly tailored to the systems overhead constraints.

We engineered a dark-themed dispatcher dashboard utilizing React rendering optimizations. Rather than constantly calling external geocoding paths, route segments are cached in a PostgreSQL buffer via Prisma ORM and retrieved locally. Leaflet map layers are throttled using coordinate decimation algorithms to reduce map node count, resulting in ultra-fast client-side renders.

case_study_architecture.typescript
typescript
// Next.js API cached routing coordinates endpoint
import { prisma } from "@/lib/prisma";

export async function getOptimizedRoute(vehicleId: string) {
  const cachedRoute = await prisma.routeCache.findFirst({
    where: {
      vehicleId,
      expiresAt: { gt: new Date() }
    }
  });

  if (cachedRoute) {
    return JSON.parse(cachedRoute.coordinates);
  }

  const liveCoords = await fetchLiveVehicleCoordinates(vehicleId);
  const simplified = decimateCoordinates(liveCoords, 0.0001); // simplification algorithm

  await prisma.routeCache.create({
    data: {
      vehicleId,
      coordinates: JSON.stringify(simplified),
      expiresAt: new Date(Date.now() + 10000) // 10s TTL
    }
  });

  return simplified;
}

Project Outcomes

90% client-side map rendering speed improvement.
Significant decrease in external routing API call overhead.
Dispatch operators can manage 3x more vehicles simultaneously.

Technologies Utilized

Next.jsReactTypeScriptPrisma ORMPostgreSQLTailwind CSS

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