One MBL Status View. Every Shipping Line, Same Way.
Master Bill of Lading milestones tracked live and automatically, regardless of which shipping line issued the MBL. Shipthis pulls status updates from every carrier your team works with into one consistent view, so checking an MBL's status never means knowing which specific carrier portal to log into, or waiting for someone to notice an update buried in an email.
No credit card required. Go live in 9 weeks. Implementation team included.
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Every shipping line tracks its own MBL milestones somewhere, the actual problem is that "somewhere" is a different portal, with different logins and different labels, for every carrier.
Shipping lines aren't hiding their MBL milestone data, they publish it, usually on their own portal, in their own format, under their own terminology for what's functionally the same event. The actual cost isn't a lack of information, it's the fragmentation. A forwarder working with a dozen carriers needs a dozen logins and a dozen mental models for what "departed" or "discharged" means on each one. Shipthis pulls milestone data from every shipping line automatically and normalizes it into one consistent view, so your team checks one place and sees the same kind of status regardless of which carrier is actually moving that shipment.
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Booking to Discharge, Updating Itself
Booking confirmed, gate-in, loaded, departed, in-transit, arrived, and discharged, each milestone updates automatically as the shipping line reports it, without anyone triggering a refresh.
An MBL's status moves through a defined set of milestones, booking confirmed, gate-in at origin, loaded onto the vessel, departed, in-transit, arrived at destination, and discharged, and each one updates automatically the moment the shipping line reports it, not on a schedule someone has to remember to check. Shipthis captures every one of these milestones as they happen, so your team sees the current status without manually refreshing a carrier portal or waiting for a status email that may or may not arrive promptly.
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Whichever Shipping Lines You Actually Use
A recommended price point that balances margin against the likelihood of acceptance, based on how similar quotes have actually performed.
Knowing the win probability of a price you've already decided on is useful, but the more valuable question is often what price would actually improve your margin while keeping acceptance likelihood strong. Shipthis recommends a price point based on how similar historical quotes have actually performed, balancing margin and win probability together, rather than optimizing for one at the expense of the other, so the recommendation reflects a genuinely better outcome, not just a higher number.
This Customer's History, Not Just the Market's Average
Understanding a specific customer's historical shipping and pricing patterns tailors the recommendation to that account, not a generic market trend.
Different customers behave very differently, some are price-sensitive on every lane, others prioritize transit time and rarely negotiate, and understanding those patterns for a specific account is what makes a pricing recommendation actually useful rather than a generic market average. Shipthis analyzes a customer's historical shipping and quoting patterns specifically, so the recommendation for their next quote reflects how that particular account has actually behaved, not just broad trends across your whole customer base.
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How Your Price Compares, Not Just How It's Performed Before
Benchmark a proposed rate against broader market pricing, so a quote reflects competitive positioning, not just internal historical performance.
Internal historical data tells you how your own past quotes have performed, but it doesn't tell you how your pricing sits relative to the broader market on a given lane. Freight rate benchmarking gives your pricing team that outside reference point, so a quote can be evaluated not just against "did prices like this win for us before" but also "is this price actually competitive right now," a second, complementary lens on the same pricing decision.
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Analytics Tells You What Happened. This Tells You What to Do Next.
Win probability, margin recommendation, customer-specific insight, and rate comparisons, combined into a forward-looking recommendation for the quote in front of you.
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A lot of platforms offer some form of quote analytics, and that's valuable, but analytics fundamentally looks backward, explaining what already happened. Pricing Intelligence looks forward. It takes everything your historical data can tell you and turns it into an actual recommendation for the specific quote your team is building right now. That's the difference between understanding your pipeline and actively improving the next decision in it.
Three Quotes In. The Fourth Gets a Recommendation.
Every quote you send through Shipthis builds toward a working recommendation, no historical backlog required to get started.
Pricing Intelligence doesn't need years of past data before it's useful, it needs a handful of real quotes for a given customer to start spotting the pattern. Send the first three quotes for a customer through Shipthis as normal, and by the fourth, the system has enough to recommend a win probability and a margin. Keep quoting, and the recommendations keep sharpening as more data comes in. Most customers are fully operational within 9 weeks.
Bring a Quote You're About to Send. See What Shipthis Recommends.
Book a walkthrough with a real quote you're working on, or start a free trial and watch the recommendations sharpen as you quote.
A demo can walk through a real quote you're currently working on, not a generic script. Prefer to explore first? A free trial gives your team hands-on access with no commitment, recommendations get sharper after a few quotes per customer, not on day one.
Book a demo or start your 30-day free trial — and talk to a real freight specialist, not a sales script.
Pricing Intelligence Questions, Answered
Alongside it. Pricing Intelligence gives every pricer a data-grounded recommendation as a backup to their own judgment, not a replacement for experience.
By analyzing historical win and loss patterns from your own quote data and applying them to the specifics of the quote currently being built — an actual calculated probability, not a general confidence indicator.
No. It balances margin against the likelihood of acceptance, based on how similar quotes have historically performed, aiming for the best outcome rather than the highest number alone.
Both. Customer-specific historical behavior informs the recommendation directly, and freight rate benchmarking adds a broader market reference point alongside it.
Conversion reports look backward at what already happened across your pipeline. Pricing Intelligence looks forward, recommending a price for the specific quote you're about to send.
Existing quote history is migrated during implementation wherever available, so recommendations start with real data from day one, becoming more precise as more quotes flow through the system.