ArsenalTech Pvt. Ltd.
Menu

Logistics & last-mile delivery solutions

Smarter logistics for faster, more reliable deliveries.

Share Your Concept
  • 80+
    In-house
    Experts
  • 5+
    Team’s Average
    Years of Experience
  • 93%
    Employee
    Retention Rate
  • 100%
    Project Completion
    Ratio
Faster, Smarter, On-time

Logistics engineered for efficiency

Order management

Automated allocation of orders to carriers.

Route optimization

AI-powered delivery planning to save time and costs.

Live tracking

Real-time updates for customers and support teams.

Returns handling

Simple workflows for reverse logistics.

Smart routing, smart tracking

APIs and AI for last-mile mastery

  • Logistics

    Tech that drives smarter logistics.

    -zglmxd-shiprocket

    Shiprocket

    fedex-svgrepo-com

    FedEx APIs

    DELHIVERY

    Delhivery

    Easypost_id21vWBrPK_1

    EasyPost

    ups-ar21

    UPS

    aftership-logo-png_seeklogo-385671

    Aftership

  • Route Optimization

    Smart algorithms, faster deliveries.

    google-maps-platform-svgrepo-com

    Google Maps API

    here

    HERE

Tech talk

Developer tips & insights

Trending Blog thumbnail_RAG
4 Min read 10 September, 2025

Introduction to RAG (Retrieval-Augmented Generation) for SaaS Applications

Trending Blog thumbnail_Multitenant SaaS
4 Min read 10 September, 2025

Building Multi-Tenant SaaS Applications with Laravel: A practical guide for scaling globally

Trending Blog thumbnail_Filament Vs Laravel Nova
2 Min read 10 September, 2025

Filament vs Laravel Nova: CTO Guide

Logistics, Answered

Clear responses to common delivery challenges

We integrate logistics and delivery management into eCommerce platforms, ensuring real-time tracking, efficient routing, and a seamless customer experience.

Brands feed orders, geo-coordinates, promised time windows, and vehicle capacities into an AI routing engine that solves a vehicle-routing problem (VRP) to generate optimal sequences and clusters per driver. The delivery app consumes these routes, updates in real time as traffic or delays occur, and re-optimizes when new orders arrive—cutting miles, fuel, and idle time without adding vans.
Build a “carrier selection” service that scores carriers per order using rules and ML (SLA match, lane performance, cost, capacity, COD support) and returns the chosen carrier + service level via API. Orders flow through this service at creation time, then to label creation and manifesting; over time you retrain the model on actual on-time and cost outcomes.
Normalize tracking by storing your own shipment entity with a unified status model (created, in transit, out for delivery, delivered, failed) and polling/webhooking each carrier’s tracking API into that model. Customer apps and CS tools read only from your tracking service, which also computes ETAs using historical delivery times and live telemetry from driver apps.
AI routing engines take order locations, depot/warehouse location, driver capacity/hours, historical travel times, live traffic, and constraints (time windows, priorities) to solve constrained VRP variants. They output route sequences and ETAs, then continuously adjust using GPS pings from driver apps and real-time delay signals.
Reduce failed deliveries by combining address validation (geocoding, Pincode checks, plus address autocomplete) with pre-delivery confirmations and user-selectable delivery slots when someone is likely home. In the app, let customers update instructions, verify phone and location, and rebook missed deliveries easily; route optimization should prioritize confirmed-slot stops earlier in the day.

Every delivery is connected, every mile optimized

Use AI-driven route optimization and GPS tracking; see live delivery progress, update customers instantly, and cut delays and costs across the entire journey.

Start smarter logistics