Supply Chain Optimization Software

Supply chain optimization software takes the data already moving through your network, shipments, costs, lead times, and supplier performance, and turns it into better decisions about how to route freight, where to source, and how much to stock. Rather than a one-time consulting study that is stale by the time it is delivered, the software runs continuously on live data, so improvement is an ongoing habit. Captain scores lanes, modes, and suppliers on landed cost and risk together and surfaces recommendations your team can act on. Because it lives in a unified Control Tower environment, those recommendations are executed and tracked in the same place they are generated, which is what keeps optimization from ending as a report nobody actions.

Visibility software shows you where things are; optimization software tells you what to change. Visibility answers where is my shipment and how is my supplier performing. Optimization takes that same data and asks which mode, lane, or source gives the lowest landed cost at acceptable risk, and when to reorder. In Captain the two run on the same platform, so optimization is not guessing, it works from the live picture visibility provides. Most teams need both: you cannot optimize what you cannot see, and seeing without acting leaves the savings on the table. Because everything shares one data model in the unified Control Tower environment, moving from a visible problem to an executed decision happens in one system rather than across disconnected tools.

The workflow moves from raw data to compounding gains in five stages. First, data integration connects shipment, cost, supplier, and inventory data into one model. Second, analysis and modeling score lanes, modes, and suppliers on landed cost and risk. Third, optimization surfaces the routing, sourcing, and inventory recommendations worth acting on. Fourth, execution carries those decisions out in the platform and tracks them against plan. Fifth, continuous improvement reviews the results, retunes the model, and feeds the learning back into the next cycle. The point of the fifth step is that optimization is not a project with an end date; each cycle sharpens the model, so the gains compound rather than resetting the way one-off engagements do.

Routing and sourcing optimization in Captain scores every available mode, lane, and supplier on landed cost and risk, using live rates and transit data rather than a static rate card. For routing, it compares ocean, air, rail, and road on total delivered cost and reliability, so the recommended path is the cheapest compliant one, not the mode your team defaulted to. For sourcing, it weighs supplier cost, lead time, and measured performance so allocation decisions rest on data. Crucially, duty and tariff exposure fold into the landed cost, so a lane that looks cheap on freight but expensive on duty is judged on its real total. The recommendation then flows into execution rather than sitting in an analysis.

Yes, and this is where a lot of naive optimization goes wrong. A route or source that looks cheapest on freight alone can be the most expensive once duty is included. Captain folds tariff management and compliance into the optimization, so every lane and sourcing option is scored on landed cost with duty included, not just ocean or air rate. It also flags tariff mitigation opportunities where a change in routing, sourcing, or classification could lower total cost. For importers exposed to shifting tariff schedules, this keeps the optimization honest, because the platform is comparing true delivered cost. Deeper duty engineering is handled with our trade teams, but the software makes sure duty is never left out of the math.

Live data. Captain works on real-time cost and risk monitoring through seamless integration with your carrier feeds, ERP, and supplier reporting, so the optimization reflects this week's rates, transit times, and disruptions rather than a spreadsheet uploaded once a quarter. This matters because the value of an optimization decays fast: a routing recommendation built on last quarter's rates can be wrong the moment the market moves. Running on live data means the model catches a rate spike, a port disruption, or a supplier slipping while there is still time to reroute or reallocate. During onboarding we connect your core data sources and validate that what the model sees matches your systems of record before you act on its recommendations.

It reduces cost in a few compounding ways. It routes freight on the cheapest compliant mode rather than habit, using landed cost per unit including duty. It times replenishment so you carry the inventory you need instead of padding safety stock against uncertainty you could have modeled. It reallocates volume toward suppliers that actually deliver on cost and lead time. And it catches disruptions early, so a problem is rerouted before it becomes an expedite or a demurrage charge. Because the recommendations execute inside the same platform, the savings are captured rather than lost between analysis and action. The gains are not one big line item; they come from many decisions made on better data, cycle after cycle.

Most teams see the first optimization decisions within weeks, because Captain's connectors and Control Tower technology already exist and configure to your lanes rather than being built from scratch. A typical rollout integrates your core cost, routing, and supplier data first, tunes the scoring model to your network, then produces recommendations you can validate against reality before you rely on them. Simple data landscapes move faster; messy or deep ones take longer to connect cleanly. The pace is usually set by how quickly your data sources connect and how clean the data is, not by the platform. We sequence it so you get trustworthy recommendations on your highest-spend lanes first, where the savings are largest and the model proves itself fastest.

Both models exist. You can license Captain and run supply chain optimization with your own planning and sourcing team, using the recommendations and dashboards directly. Alternatively, you can pair the platform with CargoTrans experts who run the optimization workflow with you, bringing the routing, sourcing, and duty knowledge of a forwarder and broker to the decisions. Many importers start with the software and lean on our team for the tariff and routing calls where specialist judgment pays off. The right choice depends on the depth of your in-house planning capability. We walk through both during the platform review, so you buy the level of hands-on support that matches your team rather than a one-size model.

Yes, and multimodal scope is central to getting the answer right. Captain compares ocean, air, rail, and road on live rates and transit so the optimization recommends the mode that lands each shipment at the lowest compliant total cost, not the one used last time. For shipments that move across modes, it evaluates the whole journey rather than optimizing one leg in isolation, which is where single-mode tools leave money on the table. This is especially valuable when you are rerouting around disruption or shifting volume between modes seasonally, because the platform re-scores the options on current conditions. The multimodal view keeps the optimization grounded in the real network rather than a single lane in a single mode.

Yes. Demand and supply planning in Captain includes scenario views, so you can model how a lead-time shift, a rate change, a new sourcing mix, or a demand swing would flow through your network before committing to it. Instead of finding out after the fact that a decision raised landed cost or created a stockout risk, you see the projected impact first. This turns optimization into planned decisions rather than reactions, and it lets you compare options on the same footing. The scenarios run on the same live data model as the rest of the platform, so a what-if is grounded in your actual costs and lead times, not a detached spreadsheet that drifts from reality the moment you build it.

Captain is the technology layer beneath the operational services CargoTrans provides, so an optimization decision does not stop at a recommendation, it connects to execution. Importers who also use our forwarding, brokerage, or warehousing get one connected environment where a better route or source is actually carried out and tracked, because the same Control Tower technology runs both the software and the operation. If you want specialist judgment on the tariff and routing calls, our trade and logistics teams work the optimization with you. Whether you license only the software or add the service, the optimization stays grounded in a network CargoTrans can actually move, rather than a model disconnected from how the freight really flows.

Pricing scales with the size and complexity of the network you optimize rather than a single flat fee. The main drivers are the data sources connected, the shipment and spend volume the engine works across, and the modules you enable, from routing and sourcing to tariff-aware landed cost. Because scope sets the cost, we begin with a free platform review that maps your lanes, spend, and suppliers before quoting, so the number reflects your real footprint rather than a generic rate. If you want CargoTrans experts running the optimization workflow with you rather than licensing the software alone, that managed support is priced on top. We are direct about which components apply so the cost tracks the value you actually get from the platform.

No. Captain is built to sit on top of the systems you already run, not to replace them. It integrates with your ERP, TMS, and carrier feeds through API and EDI, pulling the cost, routing, and supplier data it needs to optimize while your systems of record stay in place. Your team keeps executing in the tools it knows, and Captain adds the optimization layer that scores options and feeds decisions back. This matters because a rip-and-replace project is exactly what stalls most improvement efforts. By connecting rather than replacing, you get value in weeks instead of a multi-year migration, and you can widen the connected scope over time as the platform proves itself on your highest-spend lanes first.