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Custom Logistics Management
System for a Leading Logistics Company

AWS
Heroku
HTML CSS
MYSQL
Node.js

Overview

One such leading logistics company that takes care of a wide network for deliveries in both urban and rural areas was facing issues with route optimization, checking delivery progress, and operational transparency. Running a logistics operation with more than 3,000 vehicles in their fleet, the company required a scalable, automated and resource-efficient solution to optimize its logistics operations processes while also increasing delivery precision and client satisfaction. A specially tailored Logistics Management System (LMS) was successfully developed and deployed to overcome these hurdles while catering to business expansion as well.

PROBLEMS:

SOLUTIONS

Smart Routing Optimization

◉ Engineered a GPS based route optimization engine to calculate the optimal delivery process routes based on traffic and distance while also optimizing shipments by priority level.

◉ Allowed for dynamic re-routing in the event of road closures, changing traffic conditions or a need to get an urgent delivery request out on time.

Real-Time Fleet Tracking

◉ Fleet integration of IoT-enabled trackers for real-time location tracking.

◉ Built a unified dashboard for dispatchers to monitor vehicles, check delivery statuses and take proactive actions against delays.

Customer Delivery Portal

◉ Web and Mobile Portal Creation: Created a customer-facing web & mobile portal wherein customers can track their deliveries with estimated arrival times and real-time notifications are provided.

◉ Provided customers with the ability to self-serve their rescheduled delivery or address details.

Smart Delivery Verification

◉ Shifted to digital delivery confirmation tools, such as e-signatures, photo proof and QR code scans for accurate delivery confirmation.

◉ Implemented automatic alerts on failed deliveries with rescheduling options to minimize returns

Analytics and performance insights

◉ Constructed analytics dashboards for tracking delivery efficiency, driver performance and vehicle utilization

◉ Built-in predictive maintenance tools to keep a check on fleet health and minimize downtime

◉ Delivering actionable insights to optimize resource allocation, minimizing operational costs.

RESULTS

  • Increased Delivery Efficiency

    Cut delivery time by 20%: Real-time traffic and order updates prevent delays and optimize routes.
    Fleet Utilization Uplift Of 15%: Business hours for vehicles were correctly scheduled resulting in a much better utilization of vehicle capacity.

  • Enhanced Real-Time Visibility

    Real-time monitoring of the fleet allowed dispatchers to respond 25% faster when there were delays or incidents.
    Live tracking & updates – had customers benefitting along with enhanced experience & trust.

  • Reduced Delivery Failures

    Enhanced accuracy of addresses and immediate notifications to customers led to a 30% decrease in unsuccessful deliveries.
    Return logistics costs were minimized with automated rescheduling options

  • Cost Savings

    18% reduction in fuel costs was achieved through efficient routing and less time spent at idling.
    Unplanned fleet downtime decreased by 40% owing to predictive maintenance, and as a result delivery performance was stable and reliable.

  • Improved Customer Satisfaction

    Fresh approach towards delivery uncertainties through delivery tracking, and alerts made customers more satisfied, with satisfaction curves moving up by 25%.
    Conflicted deliveries caused by unresolved disputes and disputes arose; this in turn also improved the reliability of the service.

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