Release Q1 2025 - Proformas
In this cycle, weโve primarily focused on improving routings to reflect the routes actually taken by vessels, bringing more precision to planning and emissions estimation to help users reduce carbon emissions. We've also introduced other key improvements across routing and emissions reporting:
- Updated emission factors, aligning with the latest GLEC Framework v3.1.
- Vessel Timeseries endpoint, gaining access to detailed AIS data or historical vessel movements.
- Med ECA zone routing updates, preparing for the 2025 Mediterranean Emission Control Area with versioned routing options.
- Carbon Dashboards enhancement with transit times and PDF export.
- Planner improvements: enhanced port of call visibility and easier carrier selection.
- White-label Shipment certificate version.
Let's dive in!
๐ข Proformas API
What are we solving?
With the Red Sea crisis, most shipping lines have been rerouting via the Cape of Good Hope (COGH) instead of the Suez Canal. However, our CO2 Plan API (/co2/v2/plan
) was still defaulting to the shortest theoretical route via Suez, leading to underestimated distances and, consequently, incorrect emissions calculations.
This was a critical issue for our users, who rely on accurate CO2 estimations for procurement decisions, maritime carriers benchmarking, and emissions reporting.
Previous behavior
Letโs take an example of a shipment from Shanghai (CNSHA) to Le Havre (FRLEH), operated by CMA CGM's FAL 3 service. Previously, our API calculated the route via Suez, even though CMA CGMโs routing avoids it and goes via the Cape of Good Hope (see official schedule).
With the routing defaulting to Suez instead of Cape of Good Hope, the calculated distances were too short, leading to underestimated emissions. Letโs look at how we fixed this and whatโs new in this update.
How we fixed it?
Smarter routing: choosing Suez or Cape of Good Hope based on actual operations
Rather than arbitrarily blocking Suez, we made sure our approach ensures operational reality. We:
- Analyzed transit times to determine the average operational speed.
- Estimated if vessels are rerouting via COGH or still using Suez based on transit time feasibility.
- Verified historical traces to confirm the actual route taken.
Improved API behavior
Change | Old behavior | New behavior |
---|---|---|
Routing defaults | Assumed shortest path | Considers operational transit times to arbitrate between Suez and COGH. |
Example A - Itinerary using Cape of Good Hope
-
Itinerary using service FAL 3, CMA CGM - (example used in the problem description above).
-
Route: Shanghai (CNSHA) โ Le Havre (FRLEH)
-
Routing:
- The carrier's website suggest this service is avoiding Suez and passing via COGH;
- Transit time suggests Suez is unrealistic.
- The historical Trace confirms COGH route. (
/vessel/v2/trace?geometry=true&imo=9839208&departureDateTime=2024-11-20T00%3A00%3A00Z&arrivalDateTime=2025-01-15T00%3A00%3A00Z
).

๐ป Planner visualization : the service is correctly passing via COGH.
Example B - Itinerary still using Suez
Not all services avoid Suez. Letโs take an example of an itinerary that is still transiting via Suez and verify the routing.
-
Itinerary using service BEX 2, CMA CGM
-
Route: Singapore (SGSIN) โ Beirut (LBBEY)
-
Routing:
- The carrier's website confirms this service is still passing via Suez;
- The transit time also let's us estimate a routing via Suez;
- Our historical
/trace
solution also confirms latest operations were routing via Suez (/vessel/v2/trace?geometry=true&imo=9718117&departureDateTime=2024-10-26T00%3A00%3A00Z&arrivalDateTime=2024-12-10T00%3A00%3A00Z
).
๐ฅ๏ธ Planner visualization : the service is correctly following the Suez route.
Now that routing has been improved, let's explore how you can visualize and retrieve itinerary details using our enhanced endpoints.
Enhancements to the Proformas endpoints (itinerary & CO2)
How to retrieve itineraries
Search for available proformas-based itineraries
Retrieve itineraries for a given carrier between two ports, using /itinerary/v2/proformas
. Example: https://api.searoutes.com/itinerary/v2/proformas?fromLocode=CNSHA&toLocode=FRLEH&carrierScac=CMDU&sortBy=TRANSIT_TIME'
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}
],
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"ms": 4406400000
},
"departure": {
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"dayOfTheWeek": 7
},
"arrival": {
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},
"from": {
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},
"to": {
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},
"distance": 30278999,
"carrierIds": [
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"hash": "A0r3lK9fPP3",
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}
}
]
Get details of a specific proformas-based itinerary
Fetch details on a particular route using the hash (retrieved from/co2/v2/plan
), using /itinerary/v2/proformas/{hash}
. Example : /itinerary/v2/proformas/ICUnS7IBsPS
{
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"properties": {
"duration": {
"days": 37,
"ms": 3196800000
},
"departure": {
"dayNumber": 1,
"dayOfTheWeek": 1
},
"arrival": {
"dayNumber": 38,
"dayOfTheWeek": 3
},
"from": {
"locode": "CNSHA",
"name": "Shanghai",
"coordinates": [
122.06550521343334,
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]
},
"to": {
"locode": "FRLEH",
"name": "Le Havre",
"coordinates": [
0.13723907177399663,
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]
},
"distance": 25758965,
"mode": "SEA",
"serviceId": 1961,
"calls": [
{
"locode": "CNSHA",
"name": "Shanghai",
"coordinates": [
122.06550521343334,
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]
},
{
"locode": "CNNGB",
"name": "Ningbo",
"coordinates": [
121.844334447703,
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]
},
{
"locode": "CNYTN",
"name": "Yantian Pt",
"coordinates": [
114.271152496338,
22.5734977722168
]
},
{
"locode": "SGSIN",
"name": "Singapore",
"coordinates": [
103.735244750977,
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]
},
{
"locode": "FRLEH",
"name": "Le Havre",
"coordinates": [
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]
}
],
"co2e": 1495917
},
"geometry": {
"type": "LineString",
"coordinates": [
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[
-11.53953863550484,
38.838444278211114
],
[
-11.51544083934516,
38.91006816557021
],
[
-11.49129447376356,
38.98168710076395
],
[
-11.46709909888358,
39.05330103824799
],
[
-11.44285471470522,
39.124909978022345
],
[
-11.41856087673952,
39.196513874053146
],
[
-11.394217584986478,
39.2681127263404
],
[
-11.369824390281906,
39.33970648835386
],
[
-11.345381292625802,
39.41129516009354
],
[
-11.320887838115283,
39.48287869452585
],
[
-11.296344026750347,
39.55445709165079
],
[
-11.271749399824461,
39.626030303924395
],
[
-11.247103957337623,
39.69759833134665
],
[
-11.207495529368197,
39.806507895935326
],
[
-11.152924115916182,
39.95275899769044
],
[
-11.098117752010609,
40.09898428147896
],
[
-11.043076437651479,
40.24518374730091
],
[
-10.987795758530979,
40.39135690070097
],
[
-10.932275714649109,
40.537503741679146
],
[
-10.87651179452999,
40.683623764558604
],
[
-10.82050399817362,
40.82971696933937
],
[
-10.764247714190844,
40.97578283879423
],
[
-10.70774294258166,
41.1218213729232
],
[
-10.650984969209247,
41.26783204260856
],
[
-10.593973794073605,
41.41381484785031
],
[
-10.536704597363382,
41.55976924728847
],
[
-10.479177379078578,
41.70569524092305
],
[
-10.42138721071052,
41.85159227478782
],
[
-10.363334092259208,
41.99746034888279
],
[
-10.305012983396352,
42.143298896258976
],
[
-10.246423884121953,
42.28910791691637
],
[
-10.187561639062464,
42.43488683053354
],
[
-10.128426248217888,
42.58063563711049
],
[
-10.0599124356979,
42.68755068927579
],
[
-9.982020201502502,
42.75563198702943
],
[
-9.943611910465169,
42.80174215774089
],
[
-9.945225388646264,
42.8379507232448
],
[
-9.939807747813006,
43.23788482195195
],
[
-9.753531340922763,
43.49149195053967
],
[
-9.628646346894811,
43.66042743851961
],
[
-9.503060630099071,
43.82922699542103
],
[
-9.376759000534662,
43.99788744810088
],
[
-9.249741458201584,
44.16640879655917
],
[
-9.121992447744105,
44.33478778074137
],
[
-8.993511969162228,
44.50302440064749
],
[
-8.864284091984842,
44.67111530644449
],
[
-8.73430881621195,
44.83906049813236
],
[
-8.603569826279966,
45.00685653313033
],
[
-8.47206712218889,
45.174503411438394
],
[
-8.339783993089725,
45.34199759465311
],
[
-8.206720438982472,
45.509339082774474
],
[
-8.072859343325831,
45.67652423839189
],
[
-7.938200706119801,
45.843553061505375
],
[
-7.802726994512312,
46.0104218123993
],
[
-7.666438208503365,
46.1771304910737
],
[
-7.529316388103991,
46.343675252092766
],
[
-7.39136153331419,
46.510056095456505
],
[
-7.220816358035983,
46.71704550566001
],
[
-7.017680862269371,
46.96464348270328
],
[
-6.784734423787725,
47.26509406736646
],
[
-6.521977042591047,
47.61839725964957
],
[
-6.354573763994531,
47.83988664184334
],
[
-6.282524587998177,
47.92956221394778
],
[
-6.175075,
48.071075
],
[
-6.032225,
48.264425
],
[
-5.9434249999999995,
48.37475
],
[
-5.908675000000001,
48.40205
],
[
-5.88675,
48.422
],
[
-5.87765,
48.4346
],
[
-5.8607499999999995,
48.454375
],
[
-5.83605,
48.481325
],
[
-5.809656648203222,
48.516305311467555
],
[
-5.781569944609666,
48.55931593440267
],
[
-5.726896534571802,
48.625927586368405
],
[
-5.605006359848543,
48.761246607862944
],
[
-4.433454747551307,
49.216526744021984
],
[
-3.7431184729741136,
49.48248112434755
],
[
-2.8436612615397663,
49.82506412916522
],
[
-2.3889941873101175,
49.90349425226527
],
[
-1.8951302794081486,
49.98156482913126
],
[
-1.4754748628601069,
50.0531739146663
],
[
-0.9654066350320023,
50.14434503449242
],
[
-0.6327040474725678,
50.0566626002963
],
[
-0.47736710018180334,
49.790126612077955
],
[
-0.3433107879816834,
49.66806023212774
],
[
-0.2305351108722081,
49.69046346044564
],
[
-0.16350312762323038,
49.692020947158
],
[
-0.14221483823475028,
49.6727326922648
],
[
-0.1225380589154427,
49.65267578627069
],
[
-0.10447278966530764,
49.63185022917566
],
[
-0.08055500740337504,
49.60889261334818
],
[
-0.05078471212964493,
49.583802938788246
],
[
-0.01776537101836323,
49.55262787185522
],
[
0.01850301593047006,
49.51536741254912
],
[
0.04496304219192358,
49.49493283036831
],
[
0.06161470776599735,
49.49132412531281
],
[
0.07122630362849952,
49.48916276692894
],
[
0.0737978297794301,
49.488448755216716
],
[
0.07635698649330196,
49.48665473920654
],
[
0.0789037737701151,
49.48378071889842
],
[
0.08946284754563287,
49.47716490562549
],
[
0.1080342078198553,
49.46680729938774
],
[
0.12231237569349325,
49.460972402932036
],
[
0.13229735116654673,
49.45966021625838
],
[
0.13727714712080424,
49.45890754585884
],
[
0.13723907177399663,
49.45861781467072
]
]
}
}
],
"properties": {
"duration": {
"days": 37,
"ms": 3196800000
},
"departure": {
"dayNumber": 1,
"dayOfTheWeek": 1
},
"arrival": {
"dayNumber": 38,
"dayOfTheWeek": 3
},
"from": {
"locode": "CNSHA",
"name": "Shanghai",
"coordinates": [
122.06550521343334,
30.61798396262171
]
},
"to": {
"locode": "FRLEH",
"name": "Le Havre",
"coordinates": [
0.13723907177399663,
49.45861781467072
]
},
"distance": 25758965,
"carrierIds": [
81,
51,
21,
360,
41,
25
],
"hash": "ICUnS7IBsPS",
"co2e": 1495917
}
}
How to retrieve detailed COโe data
Search for COโe details for a carrier and on a port pair
Get detailed COโe emissions statistics for proformas-based itineraries, using /co2/v2/plan
. Example: co2/v2/plan?fromLocode=CNSHA&toLocode=FRLEH&carrierScac=CMDU&nContainers=1
{
"co2e": {
"min": 1462866,
"max": 1495917,
"average": 1478127,
"standardDeviation": 16477,
"wtt": {
"min": 203593,
"max": 209372,
"average": 206261
},
"ttw": {
"min": 1259274,
"max": 1286546,
"average": 1271866
},
"intensity": {
"min": 0.00761,
"max": 0.00778,
"average": 0.00769,
"standardDeviation": 0.00009
}
},
"parameters": {
"mode": "SEA",
"carrierId": null,
"carrierScac": "CMDU",
"from": {
"locode": "CNSHA"
},
"to": {
"locode": "FRLEH"
},
"containerSizeTypeCode": null,
"weight": null,
"nContainers": 1.0
},
"properties": {
"weight": 10000.0,
"nTEU": 1.0,
"containerSizeTypeCode": "20GP",
"itineraries": [
{
"hash": "Hch7u32KbUs",
"co2e": {
"min": 869777,
"max": 2960788,
"average": 1462866,
"standardDeviation": 706152,
"wtt": {
"min": 73245,
"max": 542536,
"average": 203593
},
"ttw": {
"min": 682344,
"max": 2521898,
"average": 1259274
},
"intensity": {
"min": 0.00452,
"max": 0.01540,
"average": 0.00761,
"standardDeviation": 0.00367
}
},
"distance": 30278999
},
{
"hash": "ICUnS7IBsPS",
"co2e": {
"min": 739936,
"max": 3782100,
"average": 1495917,
"standardDeviation": 787086,
"wtt": {
"min": 62311,
"max": 555386,
"average": 209372
},
"ttw": {
"min": 580482,
"max": 3226713,
"average": 1286546
},
"intensity": {
"min": 0.00385,
"max": 0.01967,
"average": 0.00778,
"standardDeviation": 0.00409
}
},
"distance": 25758965
}
]
}
}
Get COโe details of a specific itinerary
Get COโe emissions details linked to a specific itinerary (retrieved from /itinerary/v2/proformas
), using /co2/v2/proformas/{hash}
. Example: /co2/v2/proformas/IFDcLeEDTMn
{
"hash": "IFDcLeEDTMn",
"co2e": {
"min": 739936,
"max": 3782100,
"average": 1495917,
"standardDeviation": 787086,
"wtt": {
"min": 62311,
"max": 555386,
"average": 209372
},
"ttw": {
"min": 580482,
"max": 3226713,
"average": 1286546
},
"intensity": {
"min": 0.00385,
"max": 0.01967,
"average": 0.00778,
"standardDeviation": 0.00409
}
},
"distance": 25758965
}
๐ Conclusion: Improving routing and emissions accuracy
With these updates, we ensure that:
โ๏ธ Carrier-based itineraries reflect current operational constraints.
โ๏ธ CO2 calculations align with the actual routes taken, to help our users choose the right carriers for procurement decisions.
โ๏ธ Itinerary and CO2 endpoints provide greater transparency and usability.
For any questions, feel free to check our API documentation or contact support@searoutes.com. ๐
๐ Updated Emission Factors - GLEC Framework v3.1
What's new?
Weโve updated our emissions calculations to align with the latest GLEC Framework v3.1 issued by the Smart Freight Centre. Note that this update also integrates the Clean Cargo Tradelane emission factors from July 2024, ensuring your reporting starts 2025 with the most accurate and standardized data.
๐ Introducing the Vessel Timeseries endpoint
Weโre excited to introduce a new endpoint, /vessel/v2/timeseries
, providing access to detailed AIS data for historical vessel movements. This addition enhances our vessel tracking capabilities, answering questions such as:
- Where was this vessel at a specific time?
- How fast was it sailing in a given area?
- What was its course and draft on a particular date?
What's new?
Until now, users could retrieve vessel positions in two ways:
/vessel/v2/trace
: vessel routes based on historical AIS data, but without timestamps or AIS data (speed, draft, etc.)./vessel/v2/{imo}/position
: provided the latest position and AIS data (speed, draft, etc.), requiring users to manually store past data for tracking.
This made it difficult to retrieve specific past positions on demand or analyze vessel behavior in detail.
๐Key improvements
-
Enhanced
/vessel/v2/position
: now allows retrieving a vesselโs position at a given date.- Example:
/vessel/v2/position?imo=9299628&dateTime=2025-01-30
curl --request GET \ --url 'https://api.searoutes.com/vessel/v2/position?imo=9299628&dateTime=2025-01-30' \ --header 'accept: application/json' \ --header 'x-api-key: YOUR API KEY'
{ "type": "FeatureCollection", "features": [ { "type": "Feature", "properties": { "timestamp": 1738194495000, "speed": 26.5, "cog": 125.5, "heading": 126, "draft": 12.3, "eta": "2025-02-06T03:00:00Z", "destination": "ZACPT OPL" }, "geometry": { "type": "Point", "coordinates": [ -19.822452, -14.070668 ] } } ] }
- Example:
-
New
/vessel/v2/timeseries
endpoint: fetches all recorded AIS positions for a vessel between two dates, providing AIS-related attributes (speed, cog, heading, draft, next destination port and its ETA).
This complements /vessel/v2/trace, which remains the go-to solution for route visualization, while timeseries focuses on detailed vessel activity.
๐บ๏ธ GeoJSON compliance & visualization
- Weโve updated
/vessel/v2/trace
to be fully GeoJSON compliant, allowing users to paste responses directly into mapping tools. - By combining trace with timeseries, users can visualize a vesselโs full journey:
/vessel/v2/trace?imo=9839179&departureDateTime=2024-10-01T00:00:00Z&arrivalDateTime=2024-10-15T00:00:00Z
/vessel/v2/timeseries?imo=9839179&departureDateTime=2024-10-01T00:00:00Z&arrivalDateTime=2024-10-15T00:00:00Z
๐ Med ECA Zone โ Routing updates
In anticipation of the Mediterranean ECA (Emission Control Area) going live on May 1, 2025, weโre introducing routing versioning in our /route/v2/sea
endpoint to help users prepare early and adapt seamlessly.
Whatโs new?
-
Versioning for flexibility: starting now, users can choose between two routing options:
- Current version โ excludes the Med ECA zone, for routing and distance calculations.
- Future version โ includes the Med ECA zone, enabling calculations and routing as if the regulation were already in place.
This allows clients to plan ahead without disrupting existing workflows.
-
Updated SECA zone coverage: the Med ECA spans the entire Mediterranean, with boundaries defined by the Straits of Gibraltar, the Strait of Canakkale, and the Suez Canal, as described in the IMOโs official announcement.
How to access the versions?
To route against the Med ECA:
curl --request GET \
--url 'https://api.searoutes.com/route/v2/sea/{locations}' \
--header 'accept: application/json' \
--header 'accept-version: 2.1,seca=2025-05-1' \
--header 'x-api-key: YOUR API KEY'
For the current version, no additional header is needed:
curl --request GET \
--url 'https://api.searoutes.com/route/v2/sea/{locations}' \
--header 'accept: application/json' \
--header 'x-api-key: YOUR API KEY'
Additional improvement: locodes now supported in /route/v2/sea/
/route/v2/sea/
You can now specify locodes in addition to coordinates when making requests to the /route/v2/sea/
endpoint. The system will automatically resolve locodes to the corresponding geographic coordinates.
The following examples will generate the same route, using different formats (coordinates, locodes, and mixed):
/route/v2/sea/122.06550521343334,30.61798396262171;18.4359750747681,-33.9101009368896;4.056346273311497,51.96013439389793
/route/v2/sea/CNSHA;ZACPT;NLRTM
/route/v2/sea/122.06550521343334,30.61798396262171;ZACPT;NLRTM
{
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"properties": {
"distance": 14173041,
"mode": "sea",
"departure": 1740043686835,
"arrival": 1741258518835,
"duration": 1214832000,
"speed": 42,
"areas": {
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"properties": {
"id": 11144,
"name": "",
"alternatives": []
},
"geometry": {
"type": "Point",
"coordinates": [
105.310228416882,
-5.9497420567883115
]
}
},
{
"type": "Feature",
"properties": {
"id": 21596,
"name": "",
"alternatives": []
},
"geometry": {
"type": "Point",
"coordinates": [
-18.517993654909404,
-35.14277683219508
]
}
},
{
"type": "Feature",
"properties": {
"id": 11150,
"name": "Taiwan Strait",
"alternatives": []
},
"geometry": {
"type": "Point",
"coordinates": [
119.3913848425653,
24.325826862719612
]
}
},
{
"type": "Feature",
"properties": {
"id": 11136,
"name": "Cape Good Hope",
"alternatives": []
},
"geometry": {
"type": "Point",
"coordinates": [
22.335352398506643,
-56.835915273496056
]
}
},
{
"type": "Feature",
"properties": {
"id": 11155,
"name": "Karimata Strait",
"alternatives": []
},
"geometry": {
"type": "Point",
"coordinates": [
108.16843866762571,
-1.7223414042301157
]
}
}
],
"properties": null
},
"details": [],
"secaIntersection": 0,
"hraIntersection": 0,
"speedInKts": 22.678,
"intersectsIceArea": false,
"vessel": {
"imo": 8677225,
"name": "KSL PRIDE",
"length": 83,
"width": 15,
"mmsi": 405000185,
"maxDraft": 4.2
}
},
"geometry": {
"type": "LineString",
"coordinates": [
[
122.06550521343334,
30.61798396262171
],
[
122.06488305955183,
30.616988495599028
],
[
122.07218339699877,
30.611964445064412
],
[
122.08719884114699,
30.602579988676965
],
[
122.10386466130437,
30.593976482979514
],
[
122.12218085747094,
30.586153927972056
],
[
122.14327382558955,
30.578331372851245
],
[
122.16714356566023,
30.570508817617082
],
[
122.18479145690642,
30.56503203363422
],
[
122.19621749932813,
30.561901020902667
],
[
122.27606420547167,
30.550393697100414
],
[
122.424331575337,
30.530510062227467
],
[
122.53035644195424,
30.51677221419212
],
[
122.59413880532335,
30.509180152994375
],
[
122.69307249025593,
30.470988091796627
],
[
122.82715749675198,
30.402196030598873
],
[
122.86265,
30.274449999999998
],
[
122.79955,
30.08775
],
[
122.7315363242854,
29.917902490612406
],
[
122.6586089728562,
29.764907471837212
],
[
122.66452354598805,
29.63520407418194
],
[
122.74928004368094,
29.528792297646575
],
[
122.72839026071641,
29.31572432632114
],
[
122.60185419709444,
28.996000160205625
],
[
122.50832469177229,
28.784910507181028
],
[
122.44780174474995,
28.682455367247343
],
[
122.37806668578331,
28.55767174664456
],
[
122.29911951487239,
28.41055964537267
],
[
122.19815898893961,
28.24370467641726
],
[
122.07518510798499,
28.057106839778335
],
[
121.89280177532271,
27.793262299563796
],
[
121.65100899095279,
27.452171055773654
],
[
121.36066404694756,
27.024371196478864
],
[
121.02176694330709,
26.509862721679433
],
[
120.81988879361512,
26.186931363209787
],
[
120.75502959787171,
26.055577121069927
],
[
120.685775,
25.9298
],
[
120.61212499999999,
25.8096
],
[
120.55215,
25.718200000000003
],
[
120.50585,
25.6556
],
[
120.4412474853981,
25.572558432261392
],
[
120.35834245619426,
25.469075296784172
],
[
120.25306073358334,
25.329800572441346
],
[
120.12540231756527,
25.154734259232914
],
[
119.91033773381197,
24.93835564290425
],
[
119.60786698232342,
24.680664723455354
],
[
119.38960832436067,
24.49745334271563
],
[
119.25556175992372,
24.388721500685072
],
[
119.12630549105927,
24.294516492071224
],
[
119.0018395177673,
24.214838316874083
],
[
118.90555027183328,
24.14420203125941
],
[
118.83743775325718,
24.082607635227212
],
[
118.72940292984579,
23.99695922858311
],
[
118.58144580159907,
23.88725681132709
],
[
118.21271100734307,
23.454120636937837
],
[
117.62319854707779,
22.69755070541534
],
[
117.31880741031844,
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๐ Carbon Dashboards โ Transit times and PDF export
Whatโs new?
- The Carbon Act dashboard now includes transit times alongside emissions data, offering a more comprehensive view for your procurement planning and sustainability goals. For each service, we display the average transit time (as given by the carriers). This enhancement supports users who value sustainability, while ensuring transit times remain a key factor in procurement decisions.
- For any dashboard (Carbon Report as well as Carbon Act), you can also export each tab as PDF.
Feature reminder
The Carbon Act dashboard helps maximize COโe savings and cost-to-net-zero for maritime transport emissions, by replaying your shipment scenarios for each port pair across:
- The best carrier, across all shipping lines.
- The best service, across all shipping lines services.
- The best service within the carrier you have shipped with already.
With the addition of transit times, you can now make more data-driven decisions to optimize your emissions, costs, and timelines for each port pair in your procurement plan.
๐บ๏ธ Planner updates โ Ports of call & carrier selection
Whatโs new?
๐ Ports of call now visible in the Planner
- On the map: markers now display an icon for each port of call, and hovering (desktop only) reveals the port name and LOCODE.
- In the results sidebar: users can see the total number of ports of call for their itinerary, and a dropdown menu allows quick access to port names within each leg.
For example, in the itinerary below, the route from FRMRS
to CNSHA
includes three ports of call and one transhipment in Valencia.
๐ข Improved carrier selection in Planner settings
As part of our efforts to improve schedule-based routing accuracy and reduce confusion about carrier selection, weโve made several refinements:
- Carrier names simplified (e.g.,
Mediterranean Shipping Co
โMSC
) and alphabetically listed. - Grouped carriers into Alliances, as well as Top carriers vs. Other main carriers, for quick group selection.
๐ White-label version of the Shipment Certificate
Whatโs new?
- The Shipment Certificate now supports a white-label option, allowing users to generate a certificate featuring only their companyโs logo instead of Searoutes branding. This gives you more flexibility to align with your brand.
How to get the certificate?
- Via the Shipment API: add
?generateCertificate=true
to your API call:/shipment/v2/report/co2?generateCertificate=true'
; - Through the Calculator feature in the app: the certificate is generated directly from the appโs Calculator interface, simply download it to visualize it.
You just read our Product Update ๐
We'd love to hear what you think about these updates. Send us your feedback at support@searoutes.com!