Project44 Alternative: Open-Source Freight Visibility for SMB Brokers

If you run a freight brokerage that books somewhere between 10 and 200 loads a day, you have probably had the Project44 sales conversation. Or the FourKites one. Or both. The pitch is solid, the platform is real, and then somewhere around the third call a number lands in your inbox that turns the whole thing into a non-starter.

This post is for the brokers who came out of those calls knowing they needed visibility, knowing the enterprise platforms were not going to happen at their margin, and not knowing what to do next. We have built and migrated visibility stacks for a few of them. The math, the gaps, and the path below are what we actually use.

We are not anti-Project44 or anti-FourKites. They are good products. They are also priced for shippers and 3PLs with eight-figure freight spend, not for a broker doing $4 million in revenue with a 14 percent gross margin. The Project44 alternative question is really a sizing question.

What enterprise freight visibility actually costs

The published pricing pages on enterprise visibility platforms do not exist for a reason. Real contracts for Project44 in 2026 start around $60,000 per year for a small implementation and run past $400,000 for a mid-market shipper. FourKites is in the same range. There is no $500 a month tier.

On top of the platform fee, there is an implementation charge. Typically $15,000 to $50,000 depending on how many TMS integrations, carrier connections, and EDI flows you need stood up. Implementation timelines run 8 to 16 weeks in our experience, sometimes longer if your TMS is on the older side.

The contracts are also multi-year. One year minimums are rare. Two year is standard. Three year is what gets you the discount that makes the price palatable. So a "small" Project44 commitment is realistically $180,000 over three years, plus implementation, plus your internal time managing the rollout.

For a broker doing 50 loads a day at an average $200 margin per load, that is $3.65 million in annual gross profit. A $60,000 platform fee is 1.6 percent of GP. That is not impossible, but it is not free either, and it shows up on every operations meeting agenda for the next three years.

For a broker doing 15 loads a day, the same fee is closer to 5 percent of GP. That is where the conversation ends. The platform is not bad. The price tag is just built for a different company.

Why brokers want visibility in the first place

It helps to be specific about the job a broker visibility platform actually does. The pitch decks make it sound monolithic. The reality is four or five separate problems, and most brokers feel the pain on two or three of them, not all.

The first job is shipper-facing tracking. Your customer wants to know where their load is without calling you. You want them to not call you. A track and trace portal with real GPS data, updated automatically, solves this. It also reduces check-call labor on your dispatch desk by a measurable amount.

The second job is ETA prediction. Knowing the truck is on I-80 is one thing. Knowing whether it will hit the receiver before the dock closes is another. Good ETA models account for HOS clocks, traffic, weather, and historical lane performance. Bad ones just do straight-line math on the remaining miles.

The third job is exception management. Detention starting, delivery window slipping, route deviation, dwell time on the previous stop running long. The platform flags these so your team responds before the shipper does. This is where Project44 and FourKites earn most of their fee.

The fourth job, which most brokers underrate, is the data trail. Six months of clean, timestamped tracking data per load makes detention claims, OS&D disputes, and lane performance reviews dramatically faster. If you have ever lost a detention argument because nobody logged the arrival time correctly, you already understand this.

The honest feature gap with open source

Here is the part that most "Project44 alternative" content skips. The enterprise platforms do things an open-source freight visibility stack does not match. Pretending otherwise will cost you credibility with your operations lead.

Carrier network coverage is the big one. Project44 has direct integrations with thousands of carriers and most major ELD providers. They negotiate access at scale, deal with the carrier IT teams, and handle the credentialing. An open-source stack, even a well-built one, will give you coverage on the carriers you onboard yourself, one at a time.

Ocean and multimodal tracking is another. If you do drayage or international freight, the enterprise platforms have port systems, steamship line APIs, and vessel tracking already integrated. Building that in-house is realistic only if it is a core part of your business.

Predictive ETA quality, at the very top end, is genuinely better on Project44. They have years of training data across millions of shipments. An open-source ETA model running on your own loads will get you 80 to 90 percent of the accuracy for typical North American truckload moves. The last 10 percent is real, and at scale that gap matters. At 50 loads a day, it usually does not.

Finally, the platforms come with a SOC 2 report, a vendor security questionnaire response, and an SLA. If your shipper customers require those as a condition of doing business, your open-source stack needs to clear the same bar, and that has its own cost.

What you actually need at 10 to 200 loads a day

Strip the visibility problem down to its parts and most SMB brokers need a smaller surface area than the enterprise platforms sell. Specifically, you need four things that work reliably.

One, a way to ingest GPS pings from your contracted carriers. In practice this means ELD provider APIs (Motive, Samsara, Geotab, KeepTruckin/Motive, Verizon Connect) and a fallback method for owner-operators without an integration. The fallback is usually a driver mobile app you build or buy, or a tracking link sent by SMS that pulls phone GPS with consent.

Two, a load record that stitches the GPS data to the actual shipment. Pickup location, drop location, appointment windows, customer reference numbers, and whatever else your TMS already knows. The visibility stack lives or dies by how cleanly this load record syncs with your TMS.

Three, an ETA engine that does the math on remaining route, HOS, and historical lane time. The first version of this can be straightforward: distance remaining divided by realistic average speed for the lane, with HOS-aware stopping logic. Production accuracy in the 85 to 92 percent range is achievable without machine learning.

Four, an exception and alerting layer. Geofence the pickup and delivery. Fire alerts on geofence exit and entry. Track dwell time. Fire alerts when ETA slips past appointment window by a configurable threshold. This is a few hundred lines of logic and a notification channel, not a platform.

The open-source stack we use

We have been building visibility tooling for brokers in this size range for the last two years. The pieces that have held up across implementations are now bundled as freight-eta-toolkit, an open-source repo that gives you a working starting point instead of a blank screen.

The core ingestion layer is a small Node service that polls ELD provider APIs on the carriers you have onboarded, normalizes the GPS payload into a standard schema, and writes to Postgres. We use PostGIS extensions for the geofencing math because doing distance and containment calculations in SQL is dramatically faster than doing them in application code.

The load record service syncs from McLeod, AscendTMS, or Tailwind via their respective APIs, depending on what the broker runs. If you are on a TMS without an open API, this is the part that will take the most work. We have seen brokers on older TMS setups where the only integration path is database-level replication, and that is feasible but adds a week of setup.

The ETA engine is a Python service running a route distance calculation against OSRM or HERE Maps, layered with a simple HOS model and a lane-history multiplier learned from the broker's own historical data. Most brokers have enough load history in their TMS to train a useful lane-level multiplier within the first month of running the system.

The exception layer is honestly the simplest part. PostGIS geofences, a cron-driven check every two minutes, and a notification fan-out to Slack, Teams, or SMS via Twilio. The platforms charge a lot for this layer because it is genuinely valuable to operations teams, but the engineering is straightforward once the data is flowing.

Real cost math at three broker sizes

Small broker, 10 to 25 loads per day. Project44 or FourKites are off the table on price. Your realistic options are a lower-tier visibility tool like Trucker Tools or MacroPoint at $1,500 to $4,000 a month, or building on freight-eta-toolkit. The build path costs $12,000 to $25,000 in initial setup with us, plus roughly $400 a month in hosting and ELD API access fees. By month 14 the open-source path is cheaper. By year three the gap is meaningful.

Mid-size broker, 50 to 100 loads per day. Project44 starts to be possible but uncomfortable. A typical contract lands at $80,000 to $140,000 per year with implementation. The open-source build, at this volume, runs $25,000 to $45,000 to set up properly with TMS integration, custom shipper portals, and full exception management. Hosting and API costs climb to $1,200 to $2,500 a month depending on ELD provider mix.

At 75 loads a day, the open-source TCO over three years is around $90,000 to $140,000 total. The Project44 TCO over three years is around $260,000 to $440,000. The gap is real, but so is the engineering risk. Open source means you own the operations of the platform too.

Larger broker, 100 to 200 loads per day. This is where the calculus shifts. Project44 and FourKites give you carrier network depth that is genuinely hard to replicate. The platform fee, spread across more loads, is closer to $0.50 to $1.20 per load. If you are doing 150 loads a day at $250 average margin, the platform cost is 1 to 3 percent of GP. Many brokers at this size buy the enterprise platform and never look back.

The open-source path still works at this scale, but it needs a dedicated technical owner, not a contractor relationship. We have done this for one broker at the upper end of this range and the math worked because they had a strong internal IT lead who took ownership of the stack after handoff.

Hidden costs both sides ignore

ELD API access fees. Motive charges around $10 to $20 per tracked truck per month for their API, depending on the contract you negotiate. Samsara is comparable. If you track 80 carrier trucks regularly, that is $800 to $1,600 a month before any platform sits on top. Project44 absorbs this in their per-load price. An open-source stack passes it through, and it is real money.

Driver app coverage for owner-operators. If 30 percent of your capacity is small carriers without ELD integration support, you need a mobile app or SMS-link tracking flow. Buying a third-party app like Trucker Tools costs $30 to $60 per active truck per month. Building one is realistic only at much higher volume.

Shipper portal hosting and access management. Every shipper customer you give portal access to is a user account, an audit trail, and an authorization model. Building the portal is straightforward. Running it at 50 active shipper accounts with single sign-on, role-based access, and clean session management is its own ongoing engineering effort.

Detention and dwell reporting. The data is in the stack either way. Building the reporting views that ops actually uses, with the right filters and the right export formats, is a couple of weeks of work that nobody scopes upfront.

Where Project44 and FourKites actually win

If you are seriously considering enterprise visibility, the honest case for it looks like this:

• You move significant ocean, rail, or international freight where carrier network breadth matters more than per-load cost.
• Your shipper customers explicitly require Project44 or FourKites integration as a condition of awarding freight. This happens, especially with CPG and automotive shippers.
• You are at 200+ loads a day with a complex carrier mix and no internal engineering capacity to maintain a stack.
• You need predictive ETA accuracy in the top decile, with confidence intervals and lane-specific historical benchmarks built in. The enterprise platforms have a real edge here at scale.
• You want a vendor relationship with SOC 2, SLAs, and named support, because you do not want to be the person on call when the visibility feed goes down at 2 a.m.

If three or more of those describe your situation, the open-source path is the wrong choice and we will tell you so. The right answer is to negotiate harder on the enterprise contract and move on.

Where the open-source broker visibility platform actually wins

• You move dry van and reefer truckload domestically, with a carrier base that fits inside the major ELD providers.
• Your shipper customers want tracking but do not specify a vendor. They want to see the truck on a map and get accurate ETAs. They do not care which logo is at the bottom of the page.
• Your margin per load is tight enough that a $0.30 to $1 per load platform fee meaningfully affects profitability.
• You have an IT person or a long-term technical partner who can operate the stack, not just build it. This is the non-negotiable part. Open source with no operator is worse than no platform at all.
• You want to own your data and integration surface, including the ability to run analytics, ML, or customer-specific reporting without going through a vendor PM.

Migration paths and what they actually take

From spreadsheets and check calls to freight-eta-toolkit. This is the most common starting point for SMB brokers. Six to ten weeks of work end to end. The longest pole is TMS integration, especially on older systems. Realistic budget with us is $18,000 to $35,000 for a working stack with shipper portal, GPS ingestion from the two largest ELD providers in your carrier mix, and a basic ETA engine. After go-live, two to three weeks of dual operations while ops gets comfortable with the new workflow.

From MacroPoint or Trucker Tools to a custom stack. Eight to twelve weeks. You already have some carriers used to a tracking workflow, which helps. The migration risk is shipper-facing: anyone using the old portal needs a clean cutover. Plan for one to two months of running both, and a structured comms plan for shipper accounts.

From a paid Project44 or FourKites pilot back to open source. Less common but it happens. Brokers run a pilot, see the value, see the price tag at renewal, and need an exit. The exit is realistic if you start it three months before contract end. Most of the value (carrier tracking, ETA, exceptions) is reproducible. The piece that is hardest to replace is the carrier network breadth you got "for free" with the platform.

From open source to enterprise platform. Easy. The data flows already exist. The integration work has been scoped. You hand the operational burden to a vendor and pay for it. Brokers who outgrow the open-source stack usually do this around the 200 loads a day mark, and it tends to be a clean transition.

A decision framework for the next 90 days

Under 25 loads a day, no engineering capacity, shipper customers not asking for specific platforms. Stay on a lightweight paid tool like Trucker Tools for now. The open-source path is real but the build cost relative to your margin is steep at this size. Revisit when you cross 40 loads a day.

25 to 75 loads a day, growing, margin under pressure. This is the open-source sweet spot. The build cost is amortized over enough loads to pay back in 12 to 18 months. The operational burden is real but manageable. You will need a technical partner or hire to operate the stack.

75 to 150 loads a day, stable, some shipper pressure for visibility. Run the math both ways. Get a real quote from Project44 or FourKites and compare three-year TCO honestly against an open-source build with a maintenance contract. The answer depends on your specific carrier mix and shipper requirements more than on the volume number itself.

150+ loads a day or growing fast, multimodal freight, named shipper requirements. Negotiate the enterprise contract. Use the open-source option as leverage to drive the per-load price down. The platforms have real pricing flexibility for committed multi-year deals, and the threat of building internally is a credible BATNA if you have actually scoped the build cost.

What we tell brokers when they ask

When a broker asks us whether to build on freight-eta-toolkit or sign with Project44, the honest answer comes down to three questions.

First, do your shipper customers care which platform you use, or do they just care that they get tracking? If they have a named vendor requirement, that decides it. If they just want a working portal, you have a real choice.

Second, do you have, or can you hire, a technical owner for the stack? Not just to build it. To run it at 3 a.m. when an ELD provider changes their API. The answer for many brokers is no, and that is fine. The open-source path is not for everyone, and saying so honestly is part of the work.

Third, what is your honest 24-month load volume projection? Below 40 loads a day at the end of that window, the build economics are marginal. Above 75 loads a day, the build pays for itself. In between is where the rest of the decision factors actually carry weight.

The FourKites alternative conversation, the Project44 alternative conversation, the freight visibility SMB conversation: they all reduce to the same shape. The enterprise platforms are not wrong. They are sized for a different company. If you are that different company, an open-source broker visibility platform built on freight-eta-toolkit gets you 85 percent of the value at 25 to 40 percent of the cost. The other 15 percent is real, and being clear-eyed about it is how you make the call without regretting it.