The Challenge
A leading Canadian airline needed an innovative way to improve the efficiency of its cargo operations. Accurate predictions of cargo weight and volume depended on collecting and analyzing data from multiple systems each day. The airline required expert support to design and manage a solution that could streamline operations, provide reliable data and remain easy to use for internal teams.
How We Helped
Experis implemented a data platform solution using Databricks and the Kedro framework. This enabled the airline to collect nightly operational data from various systems, build predictive models and better manage its cargo pipeline.
To support ongoing operational responsiveness, we also developed a streaming solution that updated data daily into a centralized data lake. This allowed teams to validate and analyze cargo data in real time, supporting better decision-making across the business.
Key components of the solution included:
- Predictive modeling for cargo weight and volume
- Automated data ingestion and validation
- A user-friendly interface designed to support operational teams
The Impact
The Databricks solution provided airline stakeholders with accurate, real-time insights into cargo operations.
- Improved efficiency in air cargo management through better forecasting
- Enabled data-driven decisions with up-to-date operational data
- Supported DevOps best practices by tracking historical changes and allowing seamless rollbacks
- Enhanced system reliability and fostered continuous improvement
This initiative empowered the airline to make smarter, faster cargo decisions while building a scalable platform for long-term success.
