Case Studies

Powering Real-Time Supply Chain Insight at a Global Logistics Company

data architecture data innovation PDO snowflake supply chain

increase in TAM

0 %

ROI

0 x

increase in speed to market

0 %

Designed and implemented an executable vision resulting in a modern data strategy centered on Snowflake.

Built a custom data platform, capable of scalable, near-real time ingestion of information from cloud-based systems across the enterprise’s data ecosystem.

Standardized data modeling and implemented data quality measures indispensable to AI and ML use cases.

Challenge

The customer is an American global contract logistics company that manages outsourced supply chains, warehousing, and reverse logistics for blue-chip customers in over thirty countries.

At the beginning of the engagement, the customer understood that modernizing their data strategy, tooling, and architecture would be critical to their success, and to fostering a culture of innovation across their many warehouses and our deployments.

Eight months into deploying a modern data platform based on Snowflake, the customer was looking for a strategic partner that understood the modern data stack and could augment their capabilities while understanding the challenges and opportunities of their business.

Solution

Over 3 months, Hakkoda drafted and delivered an executable vision and business case to develop a shareable and accessible platform that augmented the customer’s capabilities while minimizing complexity.

Hakkoda then worked closely with internal data teams to recommend, design, and implement a modern data platform capable of ingesting cloud-based systems at scale and in close to real time.

With a Snowflake-based data platform and strategy in place, the customer’s leadership is empowered to leverage data as an asset and provide insight to their customers across the global supply chain—consuming telemetry data for route optimization, to give one example. The strategies and tooling in place also lay the foundations for AI and ML products.

The Model

Technology Used:

Snowflake

Terraform

DBT

Airflow

GCP

Project Duration:

3 Months

“What I love most about Hakkoda is that they're easy to work with. We can talk tech, we can speak design. We can really bounce off of each other. Ideas, innovation, just the art of the possible and also be able to get down to execution. So it's not just ideas and strategy, it's being able to bridge the gap between the art of the possible and their ability to deliver on that idea.”