Supply chain visibility software we provide

A shipment status that’s accurate everywhere, not just in one carrier’s portal

Checking five carrier portals for one shipment’s status isn’t visibility, it’s a workaround. We build supply chain visibility software that normalizes tracking data across carriers and modes, using AI to predict ETAs and flag exceptions early.

Supply Chain Visibility Software_2880x1760

Why a tracking number isn’t the same as visibility

A visibility platform earns trust only if its tracking data and ETA predictions hold up across every carrier and mode involved, not just the ones that report cleanly. We treat data-ingestion breadth and prediction accuracy as core architectural decisions, not a map overlay layered on top of existing systems.

Before any code gets written, we map your existing carrier, TMS, and ERP data sources, so integration complexity and data latency requirements surface at the start.

Who we serve

Logistics and transportation managers

You need to know where a shipment is without opening five different carrier portals to find out. We build one normalized view across every carrier and mode you work with.

Supply chain operations leaders

You’re accountable for whether a delay gets caught in time to act on it, not after it’s already affected a delivery commitment. We build proactive alerting that flags exceptions as they emerge.

Customer service teams

You’re the one answering “where is my order” without a reliable answer to give. We build shareable, branded tracking views so customers get the same accurate status your team sees internally.

Where shipment visibility breaks down

A shipment doesn’t disappear when a carrier stops reporting cleanly, it just becomes invisible to you until someone asks where it is. Here’s where that blind spot usually starts.

Fragmented tracking data across carriers

Each carrier reports status in its own format, and teams must check multiple portals to find a shipment. We build a single system that ingests and normalizes data across carriers and modes.

Inaccurate or missing ETAs

Static, distance-based ETAs miss real-world delays. We build predictive ETA models that factor in live traffic, weather, and historical carrier performance.

Late exception detection

Delays and disruptions are often discovered only when a customer asks where their shipment is. We build proactive alerting that flags exceptions as they emerge.

Disconnected visibility and execution systems

Tracking data lives separately from the TMS, WMS, or SCM systems that need to act on it. We build integrations that push visibility data directly into existing execution workflows.

Condition and compliance blind spots for sensitive cargo

Perishable, pharmaceutical, or hazmat shipments need continuous condition monitoring. We build IoT and telematics integration that flags a temperature or condition breach the moment it happens, not after the load arrives compromised.

Inconsistent visibility between customer service and operations

Customer service and logistics teams often work from different, disconnected views of the same shipment, leading to two different answers to the same question. We build one shared tracking view that both teams, and the customer, can rely on.

Our process at Svitla for supply chain visibility software development

STEP 1

We trace your carrier and data landscape as it is today

Before any code gets written, we look at every carrier, mode, and data source you rely on, and exactly where tracking data breaks down or goes stale between systems.

STEP 2

We design normalization around your actual carrier mix

Every carrier reports differently, so we build the ingestion and normalization logic around your specific mix of carriers and modes, not a generic template that assumes uniform data.

STEP 3

We build and validate against real shipment data

Development happens in short, reviewed cycles, and every cycle gets checked against real historical shipment and carrier performance data, so ETA predictions and exception alerts are trustworthy before launch, not just plausible.

Schedule a Call

Real-time shipment tracking

A single, normalized view of shipment location and status across carriers, modes, and regions.

Automatic reconciliation when two data sources report slightly different statuses for the same shipment.

Predictive ETAs

AI-supported arrival predictions that factor in live traffic, weather, and historical carrier performance.

Confidence indicators on each ETA, so teams know when a prediction is solid versus a rough estimate.

Exception alerting

Automated flags for delays, temperature excursions, or route deviations as they happen.

Alert routing based on severity, so a minor delay doesn't get the same urgency as a compliance-critical breach.

Multi-carrier and multi-modal data integration

Ingestion and normalization of tracking data from ocean, air, rail, and road carriers.

Automatic handling of a new carrier's data format without custom development for every addition.

IoT and telematics integration

Support for sensor data covering location, temperature, and condition monitoring in transit.

Historical condition logs that support claims and compliance documentation after the fact.

Customer-facing tracking views

Shareable, branded tracking pages that reduce “where is my order” inquiries.

Configurable detail levels, so customers see relevant status without exposing internal logistics data.

Historical performance analytics

Carrier and lane performance reporting to support future sourcing and routing decisions.

Trend views that catch a carrier's gradually declining performance before it becomes a pattern.

Integration with execution systems

Direct connections to TMS, WMS, ERP, and SCM systems so visibility data feeds into existing workflows.

Two-way sync, so execution decisions made downstream also reflect back into the visibility layer.

Important integrations for supply chain visibility software

Carrier and freight systems

For pulling real-time tracking data across ocean, air, rail, and road carriers.
For normalizing wildly different data formats into one consistent status model.
For flagging when a carrier’s data feed goes silent, rather than assuming no news is good news.

Transportation management systems

For linking visibility data to planned shipments and routes.
For confirming an actual route matches the planned one, not just that a shipment is “in transit.”
For feeding real transit performance back into future route planning.

Warehouse management systems

For tracking status as shipments move in and out of warehouses and distribution centers.
For catching a shipment that’s arrived but not yet logged as received.
For syncing dock and yard activity that affects downstream ETA accuracy.

ERP and SCM systems

For pushing visibility data into broader planning and execution workflows.
For confirming a delay flagged in visibility reaches the planning systems that need to react to it.
For avoiding duplicate status entries across systems that should already agree.

IoT and telematics providers

For incorporating sensor data on location, temperature, and condition.
For flagging a sensor that’s gone offline, rather than treating silence as a normal reading.
For calibrating alert thresholds per cargo type, not a single blanket rule.

Weather and traffic data providers

For improving the accuracy of predictive ETA models.
For adjusting an ETA in real time as conditions change mid-route.
For distinguishing a weather delay from a carrier-caused one in performance reporting.

Is custom supply chain visibility software the best option for your needs?

Answer a few simple questions and find out whether you should opt for a custom solution or a pre-built visibility platform.

1 / 9

Does your team check multiple carrier portals to find the status of a single shipment?

Are your ETAs often inaccurate or based on static distance calculations?

Do you usually find out about a delay only after a customer asks about it?

Do you need the system to integrate with a specific TMS, WMS, ERP, or SCM platform?

Have you evaluated AI-based ETA prediction or exception detection tools?

Do you need to track shipment condition data, such as temperature, in transit?

Do you want customers to be able to track their own shipments directly?

Do you expect your carrier network or shipment volume to grow over the next 2–3 years?

Fewer “where is my order” inquiries

Customer-facing tracking reduces the manual workload on customer service teams.

Self-service tracking answers the question before a customer picks up the phone to ask it.

Earlier exception response

Proactive alerts give teams more time to act before a delay affects downstream operations.

Severity-based routing means the most urgent exceptions reach the right team first.

More accurate planning inputs

Reliable ETAs improve the quality of downstream scheduling and inventory decisions.

Confidence-scored predictions let planners weigh a forecast instead of treating every ETA as certain.

Stronger carrier accountability

Historical performance data supports better carrier selection and negotiation.

A documented performance trend carries more weight in a renewal conversation than an anecdote.

Reduced spoilage and claims

Condition monitoring for sensitive shipments catches issues before they become costly losses.

A documented condition history speeds up claims resolution when a loss does occur.

Lower manual tracking effort

Automated, normalized tracking reduces time spent checking multiple carrier portals.

One shared view removes the duplicated checking that happens when teams don't trust each other's data.

Business needs assessment and solution design

We start by analyzing your carrier mix, tracking objectives, and current visibility gaps, gathering detailed requirements that reflect where your teams lose track of a shipment today. From there, we define the optimal feature set, data ingestion approach, and technology stack tailored to your carriers and shipment types, so the architecture handles your real data variety rather than an idealized single format.
Project planning

We translate those findings into a concrete plan covering project scope, deliverables, timeline, budget, and team structure. This happens before development starts, so logistics, operations, and customer service stakeholders share the same expectations about what launches first.
Custom software development and quality assurance

Our engineers build the visibility solution iteratively, delivering working functionality in short, reviewed cycles so you see tracking and normalization working against real carrier data early. Alongside development, we verify functionality, security, and performance, with particular attention to tracking data accuracy, ETA prediction, and alerting logic, since a wrong ETA is worse than no ETA at all.
Data migration and system integration

We migrate relevant historical shipment and carrier performance data from legacy systems, validating accuracy at every step so historical analytics aren’t built on flawed data. At the same time, we connect the new system to your carriers, TMS, WMS, ERP, and SCM systems, testing each integration against live data before go-live.
User training and post-launch support

We train logistics, operations, and customer service staff on the new workflows before rollout, so the transition doesn’t create a gap in coverage. After the system goes live, we offer ongoing technical support to ensure stability and performance, and implement enhancements as your carrier network and business requirements evolve.

Costs of custom supply chain visibility software development

Based on Svitla’s experience, average costs for building a supply chain planning solution vary from $80,000–$600,000, depending on the solution complexity.

Want to understand the cost of your supply chain planning solution?

Calculate the cost

Check our client success cases

A closer look at real projects where multi-carrier data, ETA accuracy, or exception alerting were part of the challenge, not just the pitch.

Fleet Management Mobile App

Project Type Mobile Development

Industry Logistics & Transportation

Examine how we enhanced a fleet management mobile app with new features and improved user experience, ensuring functionality synchronization and stability across iOS and Android platforms, leading to a faster development cycle and more capable and stable applications.

Fleet Management Tracking Device

Project Type IoT

Industry Hi-Tech Devices, Logistics & Transportation

Find out how we updated the backend for a fleet management tracking device, enhancing data collection and management capabilities, and automating processes to support a large number of devices in real-time, resulting in reduced infrastructure costs and improved scalability.

Fuel Management Analytics

Project Type Digital Transformation

Industry Energy, Logistics & Transportation

Uncover how we modernized a leading fuel management platform, transitioning from a monolithic to a microservices architecture, developing cross-platform mobile applications, and enhancing security features, significantly improving system reliability and user experience.

Our awards and partnerships

Supply chain visibility software consulting

Carrier mix and data source needs analysis.

Audit of the existing tracking and exception management workflows (if any).

Recommendations on optimal feature set, data ingestion approach, and tech stack.

A plan of integrations with your TMS, WMS, ERP, and SCM systems.

Implementation cost and time estimates, expected ROI calculation.

Supply chain visibility software engineering

Visibility solution conceptualization and architecture design.

Custom development of tracking, ETA prediction, and exception alerting functionality.

Integration with the necessary carrier, TMS, WMS, ERP, and SCM systems.

Quality assurance and security testing.

Continuous support and evolution (if required).

Supply chain visibility software modernization

Audit of your current tracking process, carrier portals, or legacy visibility platform.

A phased cutover that keeps active shipment tracking running during the transition.

Expanded carrier and mode coverage the old system couldn't support.

Post-migration validation against your prior ETA accuracy and exception response records.

A migration plan for historical shipment and carrier performance data.

FAQ

What’s the difference between supply chain visibility software and supply chain management software?

Supply chain management software is a broader planning-and-execution suite, with network visibility as one of several features (alongside inventory, orders, and supplier collaboration). Supply chain visibility software is a dedicated, real-time tracking and monitoring layer focused on shipment-level location data, predictive ETAs, and exception alerts across carriers and modes, and it typically integrates with SCM, TMS, WMS, and ERP systems rather than replacing them. If you’re not sure which one fits your need, tell us your process, and we’ll help you scope it.

Can custom visibility software really improve ETA accuracy?

Yes. We build predictive ETA models that combine live traffic, weather, and historical carrier performance data, and we validate their accuracy against actual arrival times so the models improve over time.

Can you integrate custom visibility software with our existing TMS or ERP system?

Yes. Integration with your carriers, TMS, WMS, ERP, and SCM systems is planned in the first project phase. We work with commonly used systems and carrier APIs, and build custom connectors where standard ones don’t exist.

When does custom visibility software make more sense than an off-the-shelf platform?

Off-the-shelf platforms work well when your carrier mix is fairly standard and your tracking needs stop at “where is it now.” The moment you need condition monitoring for sensitive cargo, alerting logic tuned to your specific severity thresholds, or integration with a system a packaged platform doesn’t support out of the box, you’re working around someone else’s defaults instead of building around your actual operation. Custom development pays off when those specifics are the rule, not the exception. If a pre-built platform genuinely covers what you need, we’ll say so directly and can help you implement it instead.

How long does it take to develop supply chain visibility software?

It depends on how many carriers and modes the system needs to ingest from day one, and how much historical data needs to be reconciled during migration. A visibility layer covering a handful of core carriers moves faster than one spanning ocean, air, rail, and road with IoT condition monitoring layered on top. Rather than one large release, we typically deliver in phases: tracking for your primary carriers first, so you see real value and real data quality issues surface early, before we expand to additional carriers, predictive ETAs, or customer-facing views.

Do you provide ongoing support after launch?

Yes, and visibility software in particular tends to need adjustment as your carrier network changes, not just when something breaks. A new carrier joins your network with its own data quirks, or an existing one changes its reporting format without warning, and the normalization logic needs updating to keep pace. We offer post-launch support and enhancement engagements that cover monitoring, maintenance, and the ongoing tuning of ingestion logic, ETA models, and alerting rules as your carrier network and business requirements evolve.

Get one accurate shipment status, not five carrier portals to check

Why hesitate? Apply now
Tell us briefly about your project,
and we will contact you within a day.