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Client€200M European dry bulk shipping company, operating in the Baltic
SprintAn 8-10 week sprint
Fieldwork5 countries analysed · 3,000+ voyages mapped
“SprintlyWorks helped us turn fragmented market signals into a clear commercial fact base, giving our team sharper focus on where to defend and where to grow”
Director, Business Development
Inside the room, outside the room, part 2 of 4

Map the flow before you move the fleet

The situation

The company knew its own voyages. It could not see the market those voyages sat inside.

An 8 to 10 week sprint, from June 2025. A European dry bulk shipping company of around €200M revenue, operating in the Baltic. Part 2 of 4 in Inside the room, outside the room. Part 1 is the peer set an investor could not assemble. Part 3 is the chain map that has to exist before you pick a link. Part 4 is the diagnostic that sorts the two apart.

A dry bulk carrier moves unpackaged cargo such as grain, ore and coal loose in the hold rather than in containers. This one ran routes in the Baltic and wanted two answers: which trade routes were worth going after, and what its competitors were doing.

A carrier's own records cannot answer either question. They show what the company itself carried. They do not show total volumes on a route, who else sails it, or which cargoes move together.

The case record names the gap: planning was hindered by fragmented market data, limited visibility into route-level opportunities, and underutilized fleet capacity.

Read together, those three describe one problem. Fleet capacity is only underutilized against a market you can see. An idle vessel looks like a scheduling issue until somebody shows you the tonnage moving on a route you are not sailing. Then it becomes a commercial decision.

Why it had not been solved

The data was public. Public and assembled are different things.

Nothing here was secret. Vessel movements are reported, cargo volumes are published, and competitor fleets are a matter of record. Access was never the obstacle.

The answer only appears once several thousand individual voyages sit in one structure and can be compared against each other. One voyage tells you nothing. Sort 3,000 of them by route, cargo type and operator, and you can read where the tonnage concentrates and where it does not.

That is weeks of work that produces nothing until it is finished. A half-built trade flow map answers no questions at all, so it loses every contest for attention against work that delivers something this month. In a company this size, the same people carry commercial planning, customer relationships and vessel scheduling.

A second reason is easy to miss. No one inside a carrier is paid to study the routes it does not sail. Commercial teams are measured on the business they run. The routes the company is absent from, what planners call the white space, belong to nobody, so nobody looks at them.

Without a data-backed benchmark, the record states, the client risked missing key expansion opportunities, misallocating fleet resources, and falling behind in the shift toward sustainable shipping.

How we approached it

Three passes, and the order decides what the third one can see

  1. Build the trade flow picture first

    We analysed trade flow data across 5 countries to find where volume concentrates and which routes carry the most tonnage. This comes first because every later judgement needs a total to measure against.

  2. Benchmark the competitors, including on emissions readiness

    Who sails what, and how ready each operator is for tightening emissions rules. That second half is a commercial question rather than a reputational one: an operator who cannot meet a customer's emissions requirement loses that cargo.

  3. Find the gaps in the cargo-route grid

    A grid of which cargo types move on which routes, with the empty cells marked. Those empty cells are the expansion question, and they only become visible once the first two passes are done.

None of this needed a proprietary dataset or a model the client could not have built. It needed somebody to compile public records at a scale that takes weeks, and to do nothing else for eight of them.

What we delivered

Four things went across at handover, and one number worth reading carefully

  1. A trade flow fact base

    More than 3,000 voyages mapped across 5 countries, sorted so route-level volume could be read directly rather than inferred.

  2. 25 priority routes, ranked

    The high-tonnage routes and cargo clusters worth commercial attention, with the reasoning attached so the client could challenge the order.

  3. A competitor benchmark

    Operator by operator, including emissions readiness, so positioning decisions had something to sit against.

  4. A cargo-route grid with the gaps marked

    Where cargo types and routes intersect, and where they do not.

The 40% is the opportunity the new picture makes visible. It is identified across the 3,000+ voyages mapped, and it concentrates in the high-tonnage routes and cargo clusters the analysis ranked. Turning it into booked revenue is commercial execution over several quarters.

The 25 routes are counted here and never listed, because a ranked route list is the client's commercial position and not ours to publish.

What changed for the client

A commercial plan built on the company's own voyages became one built on the market's

Before the sprintAfter the handover
Visibility limited to the routes the company already sailed, so the market outside them stayed invisibleMore than 3,000 voyages mapped across 5 countries, showing where tonnage concentrates regardless of who carries it
No view of competitor positioning, or of how ready rivals were for tightening emissions rulesAn operator by operator benchmark covering both
Idle vessel time read as a scheduling problem25 priority routes ranked, so fleet allocation became a commercial choice rather than a calendar one

What that enables. The commercial team can argue for a route from tonnage rather than from instinct, and can show where a competitor is exposed. The cargo-route grid also gives the company something it had never had: a standing list of the markets it is not in, which is the only place expansion can come from.

What we recommended

Treat the white space as an asset, and keep the fact base alive

  1. Give the cargo-route grid an owner and a review date

    It is accurate on the day we hand it over. Routes shift and operators reposition, and within a year an unmaintained grid describes a market that has moved on.

  2. Separate the two uses of the competitor benchmark

    Positioning is a commercial question and emissions readiness is a regulatory one. They move on different timescales, and reporting them together invites one conversation where two are needed.

  3. Test the 40% on a small number of routes first

    An identified opportunity across 25 routes is not 25 opportunities of equal weight. Take the top few, sail them, and measure what the analysis predicted against what actually happened.

  4. Decide who watches the white space

    Nobody in the company is currently paid to study routes it does not sail. If that does not change, the grid goes stale in exactly the way the original gap appeared.

What we scoped out

Two boundaries, and the first is where the value actually gets earned

Whether the routes were won. We ranked them. Winning cargo on them is commercial execution over several quarters, and we did not observe it.

Vessel economics. The work covers volumes, routes and competitors. It carries no view on charter rates, fuel costs or the return on any specific voyage.

In the client's words

Fragmented market signals became a fact base the team could defend and grow from

“SprintlyWorks helped us turn fragmented market signals into a clear commercial fact base, giving our team sharper focus on where to defend and where to grow”
Director, Business Development

Defend and grow is the phrase worth pausing on. A carrier that can only see its own voyages can do neither deliberately. It cannot tell which of its routes a competitor is circling, and it cannot tell which routes are worth entering. Both answers came out of the same compiling job.

The engagement did not sell knowledge of shipping. The client held that in far greater depth than we did. It sold eight weeks of somebody doing nothing but putting 3,000 voyages in order.

Sources and method

Every figure here is reproduced with the qualification its record applies

The record. All figures come from the SprintlyWorks case record for Strategic Competitor Analysis and Trade Flow Review, an 8 to 10 week sprint from June 2025 for a €200M European shipping company: 5 countries analysed, more than 3,000 voyages mapped, 25 priority routes uncovered, and a 40% sales uplift opportunity identified across the voyages mapped. The quote comes from its Director, Business Development.

One figure on the record is left out. The case page also reports a 20% fleet productivity gain. It states no qualifier word and no baseline, so it is not published here. A productivity gain only means something against a stated starting point.

Client confidentiality. We describe clients rather than naming them. The 25 routes are counted here and never listed, because a ranked route list is the client's commercial position and not ours to publish. No cargo, operator or competitor is named.

About this work. SprintlyWorks compiles the evidence a decision needs when the people who could compile it are already carrying something else. We build the trade flow picture, the peer set, the chain map or the competitor landscape, reconcile it into one structure, and hand it over inside the window the decision actually has.

About to commit to a route, a market or a price? Write down the 3 assumptions the decision most depends on, and mark each one answerable from your own data or not. Send the ones marked not to rahul.abhisek@sprintlyworks.com and we will tell you what evidence exists and how long it takes to compile.

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