Contact us

AI in
Logistics and
Supply Chain

 

AI logistics software development for 3PLs, carriers, freight
forwarders, and supply-chain platforms. Building and integrating custom AI solutions to the supply chain platforms you already run.

Microsoft Solutions Partner

Data & AI, Digital & App Innovation

Silver Stevie® Award 2025

Silver Stevie Award, 2025

ISTQB Platinum Partner

ISTQB Platinum Partner

Leobit certified for ISO 9001:2015, 2015/ Leobit certified for ISO 27001:2022

Quality management
systems / Information security management

Clutch - Top 1000 global companies 2025

Clutch Top 1000 Global Service Provider, 2025

GLOBAL TECH AWARD – ARTIFICIAL INTELLIGENCE (AI)

 

Global Tech Awards in Artificial Intelligence

ISO 9001

ISO 9001:2015

ISO 27001

ISO 27001:2022

Silver Stevie 2025

Silver Stevie Award 2025

Clutch Top .NET Development Companies 2024

Top 1000 Companies 2025

Clutch Top .NET Development Companies 2024

Top .NET Developer 2025

Best PropTech company of the Year

Global Business Tech Awards

Netty Awards winner

Apps & Software

Digital & App Innovation

Digital & App Innovation

ISTQB Gold partner

Platinum Partner

.what we do

Why Logistics Companies Choose AI Development

Leobit’s logistics clients consistently face six key challenges: real-time visibility, operations automation, inventory optimization, route and freight optimization, multi-system integration, and CO2 emission control. The data needed to address these challenges already exists in your TMS, WMS, ERP, and tracking systems. The challenge is connecting it to the right models.

We split that work in two. Predictive analytics and machine learning handle demand forecasting and route optimization, where input is structured and output is quantifiable. Generative AI handles documentation and customer-facing queries, where the input is largely unstructured. Each model is deployed with audit logs your compliance team can use.

Leobit is a Microsoft Solutions Partner with designations in Digital & App Innovation and Data & AI and is certified to ISO 9001:2015 and ISO 27001:2022 standards.

Compliant by design Microsoft solution partner Logistics-specific AI Cloud-flexible Long-tenure partnerships Production-ready models

Top 5 AI Use Cases
We Deliver for Logistics Clients

AI-Powered Route and Fleet Optimization abstract icon

AI-Powered Route and Fleet Optimization

Our ML models combine GPS, traffic, weather, driver hours, and load profiles to plan cost-efficient routes for every shipment. As a result, carrier performance improves while freight costs decrease.

Intelligent Demand Forecasting and Inventory Planning abstract icon

Intelligent Demand Forecasting and Inventory Planning

Our models analyze sales patterns, seasonality, promotions, and external signals to predict demand at the SKU and location level. Forecast accuracy improves. Working capital frees up.

Real-Time Shipment Tracking and ETA Prediction abstract icon

Real-Time Shipment Tracking and ETA Prediction

Our predictive ETA models learn from past shipment performance and current traffic conditions. 
Operations teams and customers have access to the same delivery estimates, updated in real time.

AI-Powered Chatbots & Virtual Assistants

AI Virtual Assistants and Customer Service Automation

Shippers and consignees expect answers around the clock. We build conversational AI that handles track-
and-trace, booking changes, documentation queries, and exception updates, so service teams can focus on 
complex cases that require human support.

Predictive Maintenance and Asset Reliability abstract icon

Predictive Maintenance and Asset Reliability

Unplanned downtime costs more than scheduled service. Our predictive models flag asset failures in fleet 
and warehouse assets before they occur. Operations schedule service in advance, and emergency
breakdown response becomes the exception.

AI Solutions We Build for Logistics Companies

We engineer end-to-end AI solutions across the logistics value chain. Each one is designed to 
integrate seamlessly with the systems and workflows logistics companies already rely on.

AI-Powered Route Optimization Engines

AI-Powered Route Optimization Engines

Intelligent Demand Forecasting Systems

Intelligent Demand Forecasting Systems

Real-Time Shipment Tracking and ETA Prediction

Real-Time Shipment Tracking and ETA Prediction

Predictive Maintenance for Fleet and Warehouse Assets

Warehouse Automation and Picking Path Optimization

Warehouse Automation and Picking Path Optimization

AI Virtual Assistants and Logistics Chatbots

AI Virtual Assistants and Logistics Chatbots

Smart Document Processing with OCR and NLP

IoT Sensors and Telematics Data Integration

IoT Sensors and Telematics Data Integration

Cargo Damage and Anomaly Detection with Computer Vision

Cargo Damage and Anomaly Detection with Computer Vision

Agentic AI for Exception Management and Multi-Workflow Coordination

Agentic AI for Exception Management and Multi-Workflow
Coordination

.business impact

What Are The Key Logistics KPIs That AI Improves

Delivery cycle time abstract icon

Delivery cycle time

Freight and fuel costs per shipment abstract icon

Freight and fuel
costs per shipment

forecast analysis

Forecast accuracy

Customer experience metrics abstract icon

Customer
experience metrics

Operating costs per order

Operating costs per
order

Cargo damage and loss rates

Cargo damage and loss rates

Regulatory compliance overhead abstract icon

Regulatory
compliance
overhead

Who Our Logistics AI Solutions
Are Built For

Logistics and 3PL Providers abstract icon

Logistics and 3PL Providers

We build integrated management platforms and real-time tracking systems for 3PL operations.

Logistics and supply chain abstract icon

Transportation Providers and Freight Forwarders

We build fleet and freight management software for transport networks, with integrated route optimization and shipment tracking.

Supply Chain Management Providers

Supply Chain Management Providers

We build SCM platforms with end-to-end supply chain visibility. Demand forecasting and inventory management can be added where the data supports them.

manufacturing abstract icon

Manufacturers and Distributors

We build Manufacturing Execution Systems (MES) and order fulfillment workflows for production- side supply chains, with inventory management integrated.

Warehouse Management Systems (WMS)​

Warehousing and Inventory Management Companies

We build Warehouse Management Systems (WMS) and inventory tracking software for high- throughput operations.

Parcel Delivery and Courier Services abstract icon

Parcel Delivery and Courier Services

We build last-mile delivery optimization software and mobile applications for high-volume parcel operations.

Our Approach to Logistics AI Solution Development

Technology Consulting

Technology Consulting

We start with a Discovery Phase that maps your workflows and data assets against your regulatory constraints. The output is a clear view of where AI creates real value and what to build first.

ai abstract icon

AI Strategy and Solution Design

We translate business objectives into an AI roadmap and a system architecture. Every decision is grounded in your data readiness and compliance constraints.

Data Preparation and Model Training abstract icon

Data Preparation and Model Training

We prepare and structure your shipment records, GPS and telematics feeds, order histories, and warehouse sensor data so your planning and ML teams can use it effectively.

Tool Integration abstract icon

Model Integration and Testing

We integrate AI into your existing TMS, WMS, ERP, and CRM without replacing what already works. The solution undergoes regression, performance, bias, and security testing before go-live.

Compliance and Risk Assurance abstract icon

Compliance and Risk Assurance

Every model is validated against the compliance baseline. We provide explainable AI outputs, drift monitoring, and structured audit logs your compliance team can use.

Featured Logistics Projects

all cases
Python
.NET
Azure
React
PostgreSQL
Docker
Kubernetes
OpenAI GPT
LangChain (RAG)
REST & GraphQL APIs
Twilio (SMS notifications)
hero image for Intelligent shipping orchestration platform

Intelligent Shipping Orchestration Platform

case study
ASP.NET Core
MySQL
EntityFrameworkCore
Angular
PHP
OpenCart
Docker
Apache Ignite
Bitbucket Pipelines
Identity Server
Jewelry supply chain

Jewelry Supply Chain Procurement System

Leobit was hired by a UK-based SaaS company to create cutting-edge jewelry enterprise software. This product has revolutionized the jewelry supply chain sector, leading to digitalization in the industry.

"We have a high level of trust with Leobit team on something that’s very sensitive and so precious"

case study
.NET
Angular
Bootstrap
D3.js
ApexCharts.js
i18next
RxJS
OIDC Connect Client
AG Grid
Redshift
PostgreSQL
RE-COMMERCE REPORTING PORTAL case study

Re-commerce Reporting Portal

The platform, developed for the re-commerce division of a leading European circular tech services enterprise, serves as a cutting-edge tool to enhance environmental responsibility. It is a scalable reporting portal that empowers companies to monitor, assess, and enhance their Carbon Footprint using intuitive dashboards. These dashboards calculate and oversee the supply chain operations, manufacturing procedures, and logistics associated with re-used and refurbished devices.

"I’m thrilled with the progress we’ve made on this project with such a strict timeline. This proved to be a complex task as we had to ensure data accuracy, consistency, and reliability while handling multiple data streams simultaneously"

case study

.integrations

Plugs into the Logistics Stack
You Already Run

TMS / SCM / WMS

  • Cargowise
  • Manhattan Associates
  • Highjump
  • Logility
  • Fishbowl

Carriers

  • FedEx
  • UPS
  • DHL

Commerce, Marketplaces, and ERP

  • Amazon
  • Shopify
  • Magento
  • Oracle
  • Intuit

.tech stack

Logistics
Tech Stack

.NET stack

  • .NET 5+
  • ASP.NET Core
  • Blazor
  • .NET MAUI
  • EF Core

AI and ML

  • Machine Learning
  • Generative AI
  • Predictive Analytics
  • Deep Learning
  • Chatbots

Cloud

  • Azure
  • AWS
  • GCP
  • Serverless
  • SaaS / PaaS

Back end

  • .NET Core
  • Node.js
  • Ruby
  • PHP
  • Python

Front end

  • Angular
  • React
  • Vue.js
  • JavaScript
  • TypeScript

Mobile

  • Flutter
  • Swift
  • Kotlin
  • iOS
  • Android

Databases

  • SQL Server
  • PostgreSQL
  • MySQL
  • MongoDB
  • Azure Cosmos DB

BI / DW

  • Pentaho
  • Jaspersoft
  • Tableau
  • Azure Synapse Analytics
  • BigQuery
  • Amazon Redshift

IoT / Embedded

  • C / C++
  • Linux
  • Bluetooth / BLE

.core ai solutions

Our Core AI Solutions

All Solutions

Delivery Effort

Data Needs

Solution Use Case Effort Data Description
Solution

AI Route Optimization Engine

Use Case Routing
Effort Medium
Data Advanced

ML routing across GPS, traffic, weather, and load constraints to plan least-cost feasible routes and improve on-time performance.

Solution

Real-Time ETA Predictor

Use Case Visibility
Effort Medium
Data Advanced

Predicts shipment ETAs from past route performance and current traffic conditions.

Solution

Demand Forecasting Engine

Use Case Forecasting
Effort Medium
Data Advanced

Predicts demand at the SKU and location level using sales patterns, seasonality, promotions, and external signals.

Solution

Predictive Maintenance Model

Use Case Maintenance
Effort High
Data Advanced

Flags fleet and warehouse asset failures before they happen, using maintenance log data.

Solution

Warehouse Pick-Path Optimizer

Use Case Warehouse
Effort Medium
Data Intermediate

Optimizes pick paths and slot assignments based on order patterns and item velocity.

Solution

AI Logistics Chatbot

Use Case Customer Experience
Effort Low
Data Basic

Handles track-and-trace, booking changes, documentation queries, and exception updates around the clock.

Solution

Smart Document Processor

Use Case Operations
Effort Low
Data Intermediate

Extracts key data from logistics paperwork using OCR and NLP, removing manual data entry from high-volume workflows.

Solution

Cargo Anomaly Detector

Use Case Risk Analytics
Effort Medium
Data Advanced

Detects damage and tampering from images and IoT signals across shipments.

Solution

Supply Chain Risk Monitor

Use Case Risk Analytics
Effort High
Data Advanced

Monitors supplier and geopolitical signals to predict disruption likelihood and surface mitigation options before delays hit the network.

Solution

Agentic AI Orchestrator

Use Case Exception Management
Effort High
Data Advanced

Multi-agent system that detects exceptions, prepares updated documents, recommends alternative routes, and coordinates across logistics, customer service, and billing functions.

Estimate Your
Software Project Cost

Leobit’s software cost estimation tool that transforms your project idea into a clear, structured budget breakdown. Powered by an AI assistant, it delivers complexity level, development effort in hours, recommended team composition, and an estimated budget range in just a few minutes.

Get an estimate

.why leobit

Why Choose Leobit for Logistics AI Development

Leobit Team
  • 10+ years building logistics software
  • 100+ .NET projects delivered. 170+ engineers, including 78 Microsoft-certified professionals
  • Microsoft Solutions Partner for Digital and App Innovation and for Data and AI
  • ISO 9001:2015 and ISO 27001:2022 certified
  • ISTQB Platinum Partner
  • Compliant with GDPR, CCPA, and OWASP requirements in mind
  • Silver Stevie® Award Winner (2024/2025)
  • Global Tech Award Winner for Artificial Intelligence (2025)
  • Clutch Top 1000 Global Service Provider (2025)

Frequently Asked Questions

Route optimization and document automation usually deliver the fastest returns, with ETA prediction close behind. Cost and processing time drop without a platform replacement. For 3PLs with high shipment volumes, customer-service automation is another strong starting point.

Compliance is part of the architecture from day one. We build explainable AI outputs into every model and maintain structured audit logs. We validate every release against GDPR, CCPA, and OWASP, and against any industry-specific frameworks your team is accountable for, before anything goes live.

The baseline is historical shipment records, GPS, order history, and labeled outcomes. Warehouse and predictive maintenance use cases need additional sensor data. If data quality is a concern, we start with a Discovery Phase to assess feasibility and build the pipelines first.

Yes. We integrate AI into your existing TMS, WMS, ERP, and CRM through APIs and event-driven architectures. You do not need to replace your core platform to get started.

A focused PoC, such as a route optimization model or an ETA predictor, typically takes 8 to 12 weeks. A production-ready system with full integration and compliance validation usually falls in the 4 to 8 month range. The exact timeline depends on scope and data readiness.