Real-time logistics insights for a digital freight platform
Find out how we transformed a complex legacy ETL setup into a scalable, cloud-native ELT solution — enabling high-performance analytics, faster reporting, and greater data reliability for a logistics tech company operating across 13 markets.
84× faster reporting and insights
by replacing legacy ETL with parallelized ELT pipelines in Snowflake
4 weeks from idea to live report
thanks to reusable dbt models, clear architecture, and agile delivery process
100% automated data quality checks
with test coverage in every pipeline and real-time monitoring for issue detection
Client results
We built a scalable ML pipeline by combining historical, contextual, and logistics data into one automated system — improving planning across supply chain, inventory, and operations.
This allowed the company to:
Ability to ship medical components and tests based on actual demand, for example during a viral outbreak — enabled by a self-learning forecasting system that updates itself monthly.
Replacement of a week-long manual supply forecasting process ran by 400 planners with a fully automated 1.5-hour workflow, allowing experts to focus on critical exceptions.
Higher forecast accuracy, consistently reaching 80%, significantly reducing medical components waste and unlocking up to $50 million dollar savings across global supply chain operations.
Our challenges
- Slow and inefficient ETL pipelines delaying daily reporting
- Fragmented documentation and unclear data ownership
- Limited data quality controls impacting trust in reports
- Lack of real-time monitoring across transformation processes
- Time-consuming debugging and pipeline maintenance
- Difficulty scaling reporting efforts to multiple business units
The client faced operational inefficiencies caused by outdated data architecture, slow processing, and limited observability. Their ETL-based pipelines lacked flexibility, and the absence of robust documentation made collaboration and development sluggish. Our mission was to deliver a future-proof data platform enabling fast, trustworthy, and scalable analytics.
Agile reporting and faster delivery
By redesigning the data warehouse architecture and modularizing dbt models, we enabled the team to build and launch new reports in as little as four weeks. This agility allowed business users to quickly get answers to emerging questions and ensured that the data team could respond to evolving priorities without bottlenecks.
Reliable, high-quality reporting
We introduced built-in data tests and monitoring directly in the transformation layer, allowing the organization to track pipeline health in real time. Automated validation helped eliminate errors before they reached dashboards, improving trust in key metrics and reducing time spent investigating inconsistencies.
Significantly faster access to insights
We replaced slow, manual ETL workflows with an automated ELT pipeline using Snowflake and dbt. Thanks to parallelized data processing and daily refreshes, fresh reports are now available early each morning. This upgrade drastically reduced reporting delays and equipped teams with timely insights to support day-to-day operational decisions.
Solution architecture
We developed a modern, secure, and scalable data strategy tailored to both current infrastructure and long-term business goals.
See more of our work
10 times faster automated demand forecasting for global pharma supply chain
Discover how we replaced 7 days of manual forecasting by 400 planners with a fully automated 1.5-hour ML pipeline and cut multi-million dollar losses.
Cutting 60% of monthly data infrastructure costs for a crypto platform
Learn how we helped a fast-growing fintech company cut infrastructure costs and boost analytics efficiency by transforming their entire data ecosystem.
Data-driven growth and revenue forecasting for a wellness platform
Discover how we turned health and wellness data chaos into clear insights — slashing churn and supercharging growth with a next-level analytics overhaul.
.png)
Looking for a deeper look into our Data Platform architecture?
Use data to guide your business decisions towards better results
From managing your customer acquisition and retention, to product optimisation - we can help!