1. What is logistics software development?

Logistics software development is the building of systems that plan, move, and track goods. It covers fleet management, route optimization, freight and transport management, last-mile delivery, and real-time tracking, all integrated with GPS, ERP, and carrier systems so operations teams work from one source of data.

2. What features should logistics software have?

Logistics software should include fleet management, route optimization, a transport management system, last-mile delivery tools, and real-time tracking. It also needs integrations with GPS and telematics, maps APIs, your ERP, and carrier EDI, plus AI for ETA and demand prediction once the underlying data is reliable.

3. How does AI improve logistics software?

AI improves route and ETA prediction, demand forecasting, and load optimization, each tied to a metric the business already tracks, such as cost per mile or on-time rate. McKinsey found early adopters of AI-enabled supply chain management improved logistics costs by 15 percent. Measure gains against your own baseline.

5. How do I choose a logistics software development company?

Look for proven GPS, ERP, and carrier EDI integration work, real logistics domain knowledge, and genuine AI capability. Check that the company rolls out pilot-first, can scale with your fleet and volume, and can show case studies with outcomes you can verify, not only client logos.

6. How long does it take to build logistics software?

Building logistics software typically takes 4 to 9 months. Integrations and the pilot take the most time, because GPS, ERP, and carrier connections must be validated with real data. A phased rollout follows once the pilot proves the workflow on one region or fleet.

7. Can logistics software integrate with my existing ERP and carriers?

Yes. A well-built system connects to ERP platforms such as SAP, Oracle, and Microsoft Dynamics 365 for orders and finance, and to carriers through EDI for load tendering, shipment status, and invoicing. This keeps data consistent across the operation without manual re-entry between systems.

8. What is a transport management system (TMS)?

A transport management system (TMS) is the module that plans, executes, and settles the movement of freight across carriers. It covers load planning, carrier tendering, shipment tracking, and freight billing, and it is often the backbone that other logistics modules connect to.

9. How does real-time tracking work in logistics software?

Real-time tracking uses GPS and telematics data streamed from vehicles and devices. The software processes that stream and shows dispatchers and customers a live location, status, and ETA for each shipment. Accuracy depends on reliable device integration, so tracking is built after the data flow is proven.

10. Should I start with a full platform or a pilot?

A pilot on one region or fleet is usually the safer path. It proves the integrations and the workflow with real data before a full rollout, which reduces the operational risk of switching systems and gives you measured results to justify the next phase.

Logistics Software Development Company | TMS & AI

Q: 4. How much does logistics software development cost?

Logistics software development cost depends on modules, integrations, and scale. As an estimate, a focused build with one or two modules and core integrations runs $70,000 to $180,000. Large multi-module platforms with AI and several carrier integrations cost $200,000 or more. SoluLab confirms a fixed scope after discovery.

Key Takeaways

Logistics software is a set of connected modules: fleet management, route optimization, transport management (TMS), last-mile delivery, and real-time tracking.
Integrations decide whether a build succeeds. GPS and telematics, maps APIs, your ERP, and carrier EDI are validated before features are scaled.
AI adds value where it moves a number you already track, such as cost per mile, on-time rate, or vehicle utilization.
A focused build typically costs $70,000 to $180,000 and takes 4 to 9 months. Large multi-module platforms cost $200,000 or more.
A pilot on one region or fleet proves the data and the workflow before a full rollout.

A logistics software development company builds the systems that move goods efficiently: fleet and driver apps, route optimization, transport management (TMS), last-mile delivery, and real-time tracking, integrated with GPS, telematics, maps, and carrier systems. SoluLab builds these as a consulting-led partner, with AI for route and demand prediction, ERP and EDI integration, and a pilot-first rollout.

What are the core modules of logistics software?

Logistics software is a set of connected modules, not a single tool. The core set covers most operations:

Fleet management: vehicle health, driver assignment, maintenance, and fuel tracking.
Route optimization: the fastest, cheapest routes given traffic, time windows, and load.
Freight and transport management (TMS): planning, tendering, and settling shipments across carriers.
Last-mile delivery: driver apps, delivery windows, and proof-of-delivery capture.
Real-time tracking: live location and status for operations teams and customers.

Most projects start with one or two of these, then expand once the data and integrations are proven. If your first need is a driver or dispatch app, see our logistics and transportation app development work.

How does AI improve logistics software?

AI is where logistics software moves from record-keeping to decision-making. The proven patterns are practical, not speculative:

Route and ETA prediction: models that use traffic and historical data to set realistic arrival times.
Demand forecasting: predicting volume so capacity and staffing match reality.
Load optimization: packing vehicles to cut trips and cost.

Each of these ties directly to a number the business already tracks, such as cost per mile, on-time rate, or vehicle utilization, which is what makes them worth building. McKinsey reported in April 2021 that early adopters of AI-enabled supply chain management improved logistics costs by 15 percent, inventory levels by 35 percent, and service levels by 65 percent compared with slower-moving competitors (McKinsey, Succeeding in the AI supply-chain revolution). Your own gains depend on your data, so we measure them against your baseline during the pilot.

For a closer look at agent-based automation, read our guide to AI agents in supply chain and logistics.

What tech stack and integrations power logistics software?

The value of logistics software is in what it connects to:

GPS and telematics: live vehicle and device data, connected through our IoT development team.
Maps and routing APIs: services such as Google Maps Platform, Mapbox, or HERE for distance, traffic, and geocoding.
ERP integration: platforms such as SAP, Oracle, and Microsoft Dynamics 365, so orders, inventory, and finance stay in sync.
Carrier EDI: electronic data interchange with carriers, including load tenders (EDI 204), shipment status (EDI 214), and freight invoices (EDI 210).

What does the logistics software development process look like?

A realistic build moves through four stages: discovery, integrations, a pilot, and scale. The order matters.

Discovery. We map your operation, the modules you need first, and every system the software has to connect to.
Integrations. Connections to GPS, ERP, and carrier systems are validated early, because they are where projects stall.
Pilot. A pilot on one region or fleet proves the data and the workflow before a full rollout, which de-risks the operational switch.
Scale. Real-time tracking and route optimization only pay off when the underlying integrations are reliable, so they are rolled out widely after the data flow is solid.

We run each stage in short iterations, following our agile software development process.

What are the industry use cases for logistics software?

Third-party logistics (3PL): multi-client operations that need clear separation and billing.
Freight and trucking: load planning, carrier tendering, and settlement.
E-commerce fulfilment: warehouse-to-doorstep visibility and last-mile delivery.

Logistics platforms often sit inside a wider software estate. SoluLab also provides custom software development, AI software development, and manufacturing software development for the systems around them.

How do you choose a logistics software development company?

Evaluate partners on the things that make logistics builds succeed or fail.

Criterion	What good looks like	Why it matters
Integration experience	Proven GPS, ERP, and carrier EDI work	Logistics software fails on integration
Domain knowledge	Understands TMS, last-mile, and routing	Generic teams miss operational reality
AI capability	Real route, ETA, and demand models	AI is the differentiator, not a buzzword
Rollout approach	Pilot-first, region-by-region	Reduces the risk of a big-bang failure
Scalability	Handles fleet and volume growth	Systems must grow with the operation
Proof	Named case studies with outcomes	Verifiable experience beats claims

How much does logistics software development cost?

A focused logistics software build typically costs $70,000 to $180,000 and takes 4 to 9 months. Cost depends on the number of modules, the integrations required, and the scale of the operation.

Build type	Typical scope	Indicative cost	Indicative timeline
Focused build	One or two modules with core GPS and ERP integrations	$70,000 to $180,000	4 to 9 months
Multi-module platform	TMS, fleet, tracking, AI, and several carrier integrations	$200,000+	9 months or more

These are estimates. SoluLab confirms a fixed scope and price after discovery.

Why work with SoluLab for logistics software development?

SoluLab is a consulting-led engineering partner. We start with the operation, map the integration surface with GPS, ERP, and carriers, and prove the workflow with a pilot before scaling. AI for routing and forecasting is designed in where it moves a real number, not added as a label. The company has 11 years in business, a team of 250+, and 1,500+ projects delivered.

Case study: Morpheus.Network, a blockchain supply chain platform

Morpheus.Network is a SaaS platform that automates logistics documentation, customs compliance, and international payments. SoluLab built its smart contracts and zero-knowledge rollup infrastructure, and connected the platform to ERP and warehouse management systems, RFID, IoT and GPS tracking, and FedEx tracking. Payments run over the SWIFT network across 200+ countries and 1,600+ banks. The stack is React, Node.js, MongoDB, and AWS. Read the Morpheus.Network case study.

Our own product: SupplyBrain AI

SoluLab also builds and runs SupplyBrain AI, a supply chain risk intelligence product. It monitors 50,000+ real-time global signals and gives procurement and operations teams a 30 to 90 day forecast of disruptions. It integrates with SAP, Oracle, and other ERP platforms. See SupplyBrain AI.

Meet Your Architect

Chintan Thakkar, Co-founder and CEO, SoluLab. Chintan leads SoluLab’s product engineering across AI, blockchain, IoT, and enterprise software. Before co-founding SoluLab, he was a Vice President at Goldman Sachs, where he spent about a decade building software in regulated financial environments. View Chintan’s profile.

Ready to modernize your logistics operation? Talk to SoluLab for an honest scope and estimate.