CRM / Logistics / Node.js / SaaS Development

Custom CRM for Logistics

Real-Time Fleet Management — 40% Faster Deliveries

Node.jsExpress.jsMongoDBReactSocket.IOGoogle Maps APITwilio SMS APIAWS
Custom CRM for Logistics

Project Details

ClientGlobal Logistics Provider
IndustryLogistics & Supply Chain
Timeline16 Weeks
ServiceCustom CRM Development, SaaS Development, Mobile Development
Team2 Node.js Developers, 1 React Developer, 1 Mobile Developer, 1 PM

Project Overview

A Dubai logistics company managing 3,000+ daily shipments was operating on Excel trackers, WhatsApp groups, and a decade-old desktop CRM requiring VPN. Dispatchers manually called drivers; customers had zero visibility; routes were chosen by driver intuition.

XCodeSol built a cloud-native logistics CRM: AI Smart Dispatching Engine evaluates drivers on GPS proximity, load, rating, and shift hours — auto-assigns in under 30 seconds (was 45+ minutes). Real-time tracking via driver PWA updating GPS every 30 seconds over Socket.IO; automated SMS alerts cut customer calls by 95%. Route optimization using modified Clarke-Wright algorithm with Google Distance Matrix — multi-stop, traffic-aware, with time-window constraints. Digital POD eliminated paper proofs entirely, cutting invoicing from 2 weeks to same-day.

On-site training for 40+ dispatchers and 150+ drivers. 2-week parallel run ensured zero disruption. Deliveries per driver jumped 59%, fuel dropped 22%, customer churn fell from 12% to 3%.

Key Features

truckDispatch

AI-Powered Auto-Dispatching

  • Evaluates drivers on GPS proximity, load, rating & shift hours
  • Auto-assigns optimal driver in <30 seconds (was 45+ min)
  • One-tap driver accept/decline with automatic reassignment
map-pinTracking

Real-Time GPS Tracking

  • Driver PWA updates location every 30 sec via Socket.IO
  • Customer portal with live map & dynamic ETA
  • Automated SMS alerts: 95% fewer customer calls
navigationRoutes

AI Route Optimization

  • Modified Clarke-Wright algorithm with Google Distance Matrix
  • Multi-stop optimization with traffic-aware routing
  • Time-window constraints & vehicle-specific restrictions
cameraDelivery

Digital Proof of Delivery

  • Driver captures photo + digital signature on delivery
  • Auto-stored in AWS S3, attached to shipment record
  • Eliminated 8% POD loss rate; invoicing now same-day
trending-upAnalytics

Driver & Fleet Analytics

  • Driver scorecards: on-time %, deliveries/day, fuel efficiency
  • Route analytics: actual vs planned comparison
  • Financial dashboard: revenue per route, cost per delivery

Results at a Glance

Deliveries Per Driver↑ 59% (3.2 → 5.1/day)
Average Delivery Time↓ 40% (4.2 hrs → 2.5 hrs)
Dispatch Time↓ 99% (45 min → <30 sec)
Fuel Consumption↓ 22%
Customer Complaints↓ 95% (40/day → 1–2/day)
POD Loss Rate↓ 100% (8% → 0%)
Operational Cost↓ 30% ($85K → $59.5K/month)
Customer Satisfaction↑ 32% (72% → 95%)
★★★★★5.0
XCodeSol transformed our logistics operations. The custom CRM improved delivery times by 40% and reduced overhead significantly. We're saving 30% on operational costs every month.

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