Industry

Data & AI Solutions for Global Trade Intelligence

DS Stream builds data and AI solutions for global trade intelligence platforms. We fuse AIS vessel signals, satellite imagery, port line-ups, customs manifests and price curves into one analytics layer. Then we run petabyte-scale ingestion pipelines, low-latency feature stores and MLOps that keep hundreds of predictive models fresh, versioned and compliant.

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Key takeaways

Global trade intelligence platforms combine AIS pings from 200,000+ vessels with satellite imagery, port line-ups, customs manifests and price curves.
Fusing these streams shows where commodities are, how fast they move and where the next bottleneck or opportunity will appear.
DS Stream has built data solutions for maritime, commodity-analytics and logistics companies since 2017.
DS Stream engineers average 10+ years in data engineering, machine learning and geo-spatial analytics.
DS Stream is technology-agnostic. It designs cloud or on-prem architectures that balance speed, cost and compliance.

Why is global trade data so hard to turn into trading decisions?

The signals arrive fragmented. Vessel positions, satellite images, port line-ups, customs documents and market prices come from different feeds, in different formats and at different speeds. Each source is useful on its own. The value comes from fusing them, so analysts can see where cargo really is, how fast it moves and where the next bottleneck will form.

Data sources DS Stream integrates and unifies:

AIS vessel signals
Satellite imagery
Port line-ups
Bills of lading and customs manifests
Trade-finance documents
Market price curves

All of them are merged into one analytics layer for exploration and modelling. See how we design this foundation in Data Pipeline Architecture.

What changes when vessel, satellite and customs data run in real time?

Teams get a single, live view of global cargo flows instead of stitched-together reports. Congestion, diversions and price shocks show up earlier. That supports faster hedging, smarter capacity allocation and more profitable trading decisions. Tailored ML pipelines also cut processing times from hours to minutes and lift forecast accuracy.

What this enables for a trade-intelligence business

Earlier warnings on congestion, diversion and price shocks
Forecasts that improve as models are retrained and versioned
New premium data products built on fused signals

The engineering behind it is covered in Real Time Data Processing.

How can Generative AI help trade-intelligence analysts?

Generative AI takes repetitive work off analysts and opens the data to plain-language questions. It can auto-summarise customs documents, create synthetic vessel tracks for scenario testing, surface insights from terabytes of historical data and power chat interfaces over global trade data.

DS Stream delivers these capabilities through Generative AI Development, with governed model operations through LLMOps.

Services

Global trade data solutions from DS Stream

Data Engineering

We turn disparate vessel, satellite and customs data into knowledge for better-informed decisions. This includes the petabyte-scale ingestion pipelines that trade platforms depend on.

Real Time Data Processing

We stream live feeds such as AIS signals and port line-ups into one analytics layer. Congestion, diversion and price shocks surface while there is still time to act.

MLOps

We integrate ML with DevOps practices and automate ML workflows, on your infrastructure or in the cloud. Hundreds of predictive models stay fresh, versioned and compliant.

AI Engineering

We build custom AI and Generative AI tools, from auto-summarised customs documents to plain-language chat over global trade data.

Cloud Migration

We start with discovery workshops, then design cloud or on-prem architectures that balance speed, cost and compliance. We pick the tools for you, not for a vendor.

Apache Airflow Managed Service

We take over pipeline automation and scaling. Your team spends its time on insights and strategy instead of maintenance.

Proof

Global trade intelligence in practice

Kpler

Global Trade Intelligence

Optimizing Feature Store and Model Execution for Kpler

Read the Kpler case study

Global trade intelligence by the numbers

200,000+
Vessels whose AIS pings feed global trade intelligence platforms.
Source: DS Stream, Global Trade Intelligence page
10+ years
Average experience of DS Stream engineers in data engineering, machine learning and geo-spatial analytics.
Source: DS Stream, Global Trade Intelligence page
2017
Year since which DS Stream has built data solutions for maritime, commodity-analytics and logistics companies.
Source: DS Stream, Global Trade Intelligence page

Global Trade Intelligence FAQ

What sets DS Stream apart from other data consulting firms in global trade?

DS Stream has built data solutions for maritime, commodity-analytics and logistics companies since 2017. Its engineers average 10+ years in data engineering, machine learning and geo-spatial analytics, and have worked with trade-data specialists in energy, agriculture and container shipping. The team stays technology-agnostic and selects the stack that fits your business goals.

Can small and mid-sized trading or logistics companies work with DS Stream?

Yes. Modular accelerators let you start with one narrow use case, such as automated customs-data ingestion. You expand the solution as return on investment appears, so costs stay aligned with the size of your business.

How does DS Stream keep trade data secure and compliant?

Data protection is built into every layer of the work. DS Stream follows relevant regulations, including GDPR, uses end-to-end encryption, enforces strong authentication and role-based access, and runs regular security audits. Industry best practices guide each stage, from ingestion to insight.

How long does it take to implement a global trade data solution?

Timelines depend on the scope and complexity of each project. After an initial consultation and needs assessment, DS Stream delivers a detailed proposal with key milestones and a delivery roadmap. You know when to expect results before work starts.

What does an engagement with DS Stream look like?

You send an intro through the contact form. A meeting follows to understand your challenges, market and project. DS Stream then proposes a tailored, technology-agnostic solution, signs a contract that defines the work and timing, delivers with senior teams and provides maintenance after the work is completed.

Send us an intro through the contact form. We reply within 4 hours on working days (Mon-Fri, 9am-5pm CET) and set up a meeting to discuss your data, market and goals.

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