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.
Data & AI, Digital & App Innovation

Silver Stevie Award, 2025

ISTQB Platinum Partner

Quality management
systems / Information security management

Clutch Top 1000 Global Service Provider, 2025

Global Tech Awards in Artificial Intelligence
.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.
Top 5 AI Use Cases
We Deliver for Logistics Clients
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
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
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 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
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.
Who Our Logistics AI Solutions
Are Built For
Logistics and 3PL Providers
We build integrated management platforms and real-time tracking systems for 3PL operations.
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
We build SCM platforms with end-to-end supply chain visibility. Demand forecasting and inventory management can be added where the data supports them.
Manufacturers and Distributors
We build Manufacturing Execution Systems (MES) and order fulfillment workflows for production- side supply chains, with inventory management integrated.
Warehousing and Inventory Management Companies
We build Warehouse Management Systems (WMS) and inventory tracking software for high- throughput operations.
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
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 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
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.
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
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
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"
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"
.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
AI Route Optimization Engine
ML routing across GPS, traffic, weather, and load constraints to plan least-cost feasible routes and improve on-time performance.
Real-Time ETA Predictor
Predicts shipment ETAs from past route performance and current traffic conditions.
Demand Forecasting Engine
Predicts demand at the SKU and location level using sales patterns, seasonality, promotions, and external signals.
Predictive Maintenance Model
Flags fleet and warehouse asset failures before they happen, using maintenance log data.
Warehouse Pick-Path Optimizer
Optimizes pick paths and slot assignments based on order patterns and item velocity.
AI Logistics Chatbot
Handles track-and-trace, booking changes, documentation queries, and exception updates around the clock.
Smart Document Processor
Extracts key data from logistics paperwork using OCR and NLP, removing manual data entry from high-volume workflows.
Cargo Anomaly Detector
Detects damage and tampering from images and IoT signals across shipments.
Supply Chain Risk Monitor
Monitors supplier and geopolitical signals to predict disruption likelihood and surface mitigation options before delays hit the network.
Agentic AI Orchestrator
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.
.why leobit
Why Choose Leobit for Logistics AI Development
- 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.