Your logistics stack should help teams make faster decisions, not create more work between systems.
TechnBrains builds, integrates, and modernizes logistics technology around real operating workflows, helping carriers, brokers, 3PLs, and shippers reduce manual handoffs, improve visibility, and keep dispatch, operations, and billing aligned.
Our logistics software solutions are designed around the challenges teams face every day: reducing manual work, improving shipment visibility, and keeping critical transportation workflows connected as operations grow.
Most logistics operations do not lack software. They run four or five systems that do not share information, and people cover the gaps: retyping shipments, making status calls, chasing PODs, reconciling invoices. We build custom software where packaged products cannot match your rates, dispatch rules, or workflows, and we connect the systems worth keeping.
We build and extend TMS platforms for load planning, carrier management, rating, tendering, dispatch, shipment tracking, document handling, and billing handoffs. Custom development makes sense when pricing rules, accessorial logic, customer requirements, or operational workflows require workarounds outside the TMS. We can build those capabilities into the platform or extend an existing system rather than replacing it unnecessarily.
We build dispatch software that brings load requirements, driver availability, equipment status, HOS, and appointment windows into one working view. Assignment rules can reflect the way your operation actually dispatches, including driver eligibility, equipment availability, customer requirements, and other operating constraints. The goal is to reduce manual checks and catch assignment conflicts before a load is committed.
We build route optimization software around the constraints that matter to commercial transportation, including vehicle dimensions, driver hours, delivery windows, stop sequencing, route restrictions, and customer-specific requirements. This is useful when dispatchers regularly override generic routing tools because the suggested route does not reflect how the fleet actually operates.
We build fleet management software that connects vehicle location, maintenance, engine data, fuel, and equipment availability with dispatch planning.
When a vehicle goes on maintenance hold, dispatch should see that change immediately. ATRI's 2026 research found repair and maintenance costs rose 8.6% in 2025 to 40.4 cents per mile, making fleet visibility more important.
We build driver, dispatcher, and customer-facing logistics apps for workflows outside the office.
Driver apps can support offline work, POD, photos, signatures, inspections, HOS-aware tasks, and document submission. Data syncs when connectivity returns, helping records reach operations and billing faster. These capabilities are delivered through our mobile app development practice.
We build freight software for brokers, 3PLs, marketplaces, and transportation businesses that need pricing, load execution, carrier workflows, documents, payments, and settlement in one operating environment. Typical capabilities include load matching, freight pricing, carrier and shipper workflows, freight audit, document management, settlement, and load-level margin visibility.
We build shipment tracking systems that give operations and customers a current view of shipment progress. Capabilities include real-time tracking, ETAs, geofence events, exception alerts, customer portals, and billing-connected shipment records. ATRI found detention at 39.3% of stops, creating $15.1 billion in costs and lost productivity. Tracking software helps preserve arrival times, dwell records, evidence, and rate rules for detention billing.
We build warehouse and supply chain software where inventory and fulfillment workflows need to connect directly with transportation. That can include inventory visibility across locations, inbound and outbound coordination, order management, dock activity, shipment readiness, and data exchange between WMS, TMS, and dispatch workflows.
Keep the systems that already work. We can build the missing workflow, connect disconnected tools, or extend your platform around your operations.
We provide custom logistics software development services that help carriers, brokers, 3PLs, shippers, and fleet operators streamline transportation workflows, connect fragmented systems, improve shipment visibility, and automate manual processes.
We map representative loads, user workflows, connected systems, business rules, operational handoffs, and exceptions before recommending a solution to identify the right fix: build, integrate, extend, or improve the process.
We build logistics platforms when an operation has workflows, pricing logic, dispatch rules, customer requirements, or multi-party processes that packaged software cannot model cleanly.
We connect TMS, ELD, telematics, WMS, ERP, accounting, carrier APIs, customer portals, and other systems so operational information follows the shipment instead of being entered repeatedly.
We build logistics apps for drivers, dispatchers, and customers across iOS, Android, and React Native. Apps can support offline workflows, POD capture, live tracking, inspections, document uploads, and real-time sync with TMS, ELD, telematics, and billing systems.
We modernize legacy logistics platforms, extend existing systems with new workflows and features, customize integrations and interfaces, and migrate applications to current architectures with minimal disruption to live operations.
Post-launch support covers integration monitoring, fixes, performance issues, platform changes, and additional workflows as the operation evolves.
We build logistics management software when several parts of the operation need to work together instead of being managed through separate tools and manual handoffs.
For some companies, this becomes a complete custom logistics management platform. For others, we build the missing operational layer around an existing TMS, WMS, ERP, fleet, or accounting system. The goal is consistent shipment, cost, and performance data without rebuilding the operational picture from multiple exports.
Transportation software requirements change depending on the role a business plays in moving freight. We build around the workflows each operator owns.
The software should reflect the transportation model rather than forcing carriers, brokers, 3PLs, and shippers into the same workflow.
We use AI, telematics, automation, computer vision, and cloud infrastructure where they solve a clear logistics problem. The technology should reduce manual work, improve decisions, or give operations better information, rather than exist as a feature on its own.
We apply AI where logistics teams need predictions or must process large volumes of operational data.
Use cases include predictive ETAs, load matching, pricing recommendations, demand forecasting, document extraction, and exception prioritization. Rules such as HOS eligibility, contracted rates, maintenance holds, and compliance remain rule-based and auditable.
We connect GPS, geofencing, temperature, fuel, engine, equipment condition, and other telematics data with operational workflows.
This can support live vehicle status, cold-chain monitoring, maintenance triggers, customer tracking, and automated arrival or departure events.
We automate repetitive work that still moves manually between teams and systems.
Examples include shipment updates, POD-to-billing workflows, carrier document collection, exception routing, portal updates, and logistics-to-finance reconciliation. AI-assisted automation can also handle routine follow-ups with approval controls where needed.
Computer vision supports image-heavy workflows such as POD verification, damage documentation, document capture, barcode recognition, and selected yard or dock inspections.
We use it where visual data can reduce manual checks or create stronger operational records.
We connect WMS and order systems with scanners, conveyors, AMRs, and other material-handling systems.
These integrations keep inventory movement, fulfillment status, and transportation planning synchronized as goods move from warehouse operations into dispatch.
We build the data foundation for real-time logistics software, including integrations, event processing, reporting, and analytics.
This can include AWS, Azure, or GCP infrastructure and tools such as Power BI, bringing TMS, telematics, fleet, warehouse, and finance data into one operational view.
Quotes were built in Excel, tracking relied on calls and emails, and PODs, detention, carrier documents, and settlement were handled across separate processes. We built a shipper portal, carrier portal, driver app, and admin console with automated quoting, load matching, GPS tracking, digital BOLs, detention pricing, carrier verification, and milestone payments.
Transportation workflows had to work across thousands of carriers, multiple freight modes, and providers with different integration maturity. TechnBrains supported the technology environment connecting transportation workflows across MODE's network.
Every market needed different drivers, zones, fares, corporate accounts, and operating rules, making separate builds expensive to maintain. We built a multi-tenant platform with rule-based dispatch, driver apps, live fleet tracking, configurable fares, corporate billing, and automated payment splitting.
Fix Car Sharer struggled to attract users and drivers while maintaining trust, safety, and reliable ride coordination. We built a React Native carpooling platform with preference-based matching, real-time tracking, integrated payments, and safety-focused user workflows.
A dispatch layer on an existing TMS is a different build from a multi-party freight marketplace. Set what you're building and see a range, a timeline, and the drivers doing most of the work.
TMS, ELD, telematics, ERP, accounting, carrier APIs, EDI.
Top drivers in your estimate
Two projects can both be logistics software and sit at opposite ends of the budget: a dispatch layer on an existing TMS is a different build from a multi-party freight marketplace. What moves the number is not ambition, it is these drivers:
Budget year two from the start: maintenance, monitoring, and a roadmap owner. Typical overall ranges are in the FAQ; the drivers above decide where your project lands within them.
“Many logistics software problems start at the handoffs between dispatch, drivers, tracking, documents, and billing. When those systems do not share the right information at the right time, teams fall back on manual updates, status checks, document chasing, and reconciliation. Improving those handoffs is often where the biggest operational gains begin.”
Your logistics systems can all be working and still create manual work between them. Driver hours may sit in the ELD, vehicle location in telematics, shipment status in the TMS, POD on the driver’s phone, and invoice data in accounting. We connect those systems so information moves with the operation instead of being re-entered, chased, or reconciled later.
ELD owns driver hours, telematics location, TMS shipment status, fleet systems maintenance, and accounting invoices. Other systems use this data instead of duplicating it.
Dispatchers should know whether the position, driver hours, or shipment status on screen is current before they act on it.
If a carrier, mapping, or customer API is unavailable, the workflow is queued, retried, and surfaced for review instead of disappearing silently.
Repeated, delayed, or out-of-order events should not create duplicate charges, duplicate records, or move shipment status backward.
Driver activity is stored locally during connectivity gaps and automatically synchronized with the system when service returns.
Operational records are checked before they reach accounting, reducing disputes and month-end reconciliation.
Most logistics companies already have core platforms for transportation, fleet, warehouse, customer, or financial operations. We work around that existing stack, connecting the systems that should stay and extending them where important workflows are still missing.
These platforms provide vehicle location, driver, engine, safety, and equipment data. We connect that data with dispatch, fleet operations, maintenance workflows, shipment tracking, and customer visibility where needed.
Samsara
TMS platforms often remain at the center of shipment planning and execution. We can build surrounding workflows, integrations, portals, reporting, or custom operational logic when the existing TMS does not cover the full process.
MercuryGate
We connect warehouse and transportation workflows so inventory, order readiness, dock activity, and shipment execution stay coordinated between WMS and transportation systems.
Manhattan Associates
Blue Yonder
We connect logistics operations with the systems managing customers, finance, invoicing, and reporting, particularly where shipment, rate, document, and billing data needs to move cleanly into downstream processes.
We use mapping, routing, carrier, and data-exchange services to support quoting, routing, shipment updates, tendering, tracking, and partner connectivity across the logistics workflow.
Google Maps Platform
Carrier APIs
EDI
Six numbers are driving logistics software decisions this year. Count how many describe your operation.
The most expensive year on record to run a truck, with truckload margins under 1.0% (ATRI, 2026).
If your team still re-keys loads or reconciles invoices by hand, that admin work now costs more than it ever has. Teams are automating the data movement between systems and sending every billable charge out with documentation.
Carriers made the largest capacity cut since 2022 (ATRI, 2026).
Revenue now depends on getting more miles from the trucks that remain, which is a dispatch and assignment problem before it is a hiring problem.
That is all, across shippers and logistics providers, and the leaders are roughly three times as automated as everyone else, with 80% raising TMS spend this year (Descartes, 2025).
If your operation runs on exports and spreadsheets between systems, you are in the larger group, and the gap is now a competitive one.
Expect AI to significantly change transportation planning, and 42% of carriers already use it for pricing (Trimble, 2026).
The teams getting results share one trait: their shipment, driver, and rate data was clean enough to trust before a model touched it.
Even though 94.5% of fleets charge detention fees (ATRI).
The difference between charged and collected is documentation, so teams are connecting arrival records and evidence directly to rate rules and billing.
A record, up roughly 60% in a year (CargoNet/Verisk, 2025), and most of it starts at booking, not at the truck stop.
Carrier monitoring is now a top-3 TMS priority (Descartes, 2025), which means identity verification is moving inside the booking workflow.
Compliance should not live in a separate spreadsheet or get checked after a load is assigned. We build the relevant transportation rules, statuses, and records into the workflows where operational decisions happen.
Current driver hours can feed directly into dispatch and assignment, helping teams avoid selecting a driver who does not have the available hours for the load.
License, qualification, document, and eligibility status can be checked before assignment, with alerts for expirations or status changes. FMCSA's Clearinghouse II rules also require commercial driving privileges to be downgraded when a driver has a prohibited Clearinghouse status until the return-to-duty process is completed.
Maintenance holds, inspection status, and equipment restrictions can automatically change whether a vehicle appears as available to dispatch.
Routing workflows can account for vehicle dimensions, weight restrictions, commercial roads, permits, appointment windows, and other operating constraints instead of relying on passenger-vehicle routing.
Mileage, vehicle, and jurisdiction data can be preserved across systems to support IFTA fuel-tax reporting and IRP registration workflows without rebuilding trip records later.
Arrival and departure timestamps, PODs, supporting documents, rate rules, and approvals can remain connected from the operational event through to billing.
FMCSA continues to remove devices that fail its ELD requirements. Carriers are generally given a replacement period, but continued use after the stated deadline can result in the driver being placed out of service. That makes ELD registry status something fleets should actively monitor rather than check only at implementation.
English Language Proficiency violations are part of the out-of-service framework, and FMCSA issued revised roadside enforcement guidance in April 2026. Driver qualification status therefore has a direct operational impact when a roadside inspection results in an out-of-service determination.
FMCSA's 2026 final rule narrowed eligibility for non-domiciled CDLs and requires states to take downgrade or revocation action in specified cases when credentials do not meet the applicable requirements. For fleets using affected drivers, credential validity should be treated as a live assignment input.
Software can support compliance workflows, preserve records, surface status changes, and enforce operational rules. It does not by itself make a carrier compliant, and TechnBrains does not provide legal or regulatory advice.
The right logistics software decision is rarely “build everything” or “buy everything.” Different parts of the stack usually need different answers. Start with the workflow causing the problem, then decide how much change it actually requires.
In 3–4 minutes, map the systems and workflows causing the most friction and get a Buy / Integrate / Extend / Build / Replace recommendation for each part of your logistics stack.
Follow representative loads from order to invoice; note where people do work the software should.
TMS, ELD, telematics, WMS, ERP, portals, carrier connections, and how data moves between them.
Usually a handoff: dispatch visibility, document flow, or billing.
We do not rebuild software that works; record ownership is agreed in writing before development.
Including the real exceptions: lost connectivity, reassignment, detention, missing documents, unavailable APIs.
One team, lane, or division at a time, with the old process retired deliberately.
Reconciliation and integration monitoring first, then more workflows, users, and locations.
Post-launch, support and maintenance covers monitoring, fixes, and changes as the operation evolves.
This is the stack we most often deploy on logistics builds. Final choices follow your existing systems, your team's skills and your hosting requirements, so we confirm them during scoping rather than at the proposal stage.
React Native
Swift
Kotlin
Flutter
React
Angular
Vue
.NET
Python
Java
REST APIs
Webhooks
EDI
GraphQL
Message queues
AWS
Azure
GCP
Containerized Deployment
Monitoring
SQL/NoSQL data platforms
Power BI reporting
ML tooling
Yes. We build driver, dispatcher and customer-facing logistics apps on iOS, Android and React Native, with offline sync, POD capture, live tracking and integrations into your TMS, ELD and billing systems.
It is the process of building systems for transportation, freight, warehousing, fleet operations, and delivery, including TMS, dispatch, tracking, driver apps, and system integrations.
It builds, integrates, and modernizes logistics software for carriers, brokers, 3PLs, fleets, warehouses, and delivery operators.
The best choice depends on whether you need a ready-made product or a custom development partner. For custom work, prioritize proven logistics experience, integrations, real-time tracking, dispatch, billing, and driver workflows.
Custom logistics software typically costs $25,000 to $300,000+, depending on scope, integrations, user roles, mobile apps, tracking, automation, and system complexity.
Most projects take 3 to 9 months. Smaller modules can launch sooner, while full TMS or multi-system projects may take longer.
A TMS manages freight movement, dispatch, routing, tracking, and billing. A WMS manages warehouse inventory, receiving, storage, picking, packing, and fulfillment.
Walk us through what you run today, TMS to spreadsheets. We will mark where time and revenue drop out between systems, what should stay, what needs connecting, and whether custom development is justified at all. If the better answer is buying an established product, that is the answer you will get.