Electrolux
Building A Centralized Data Platform For Electrolux
Challenges
- Fragmented Data: Manufacturing data was dispersed across multiple factories, causing inconsistencies and inefficiencies.
- Limited Factory Insights: Isolated operations restricted global benchmarking and the sharing of best practices.
- Operational Inefficiencies: Inconsistent data structures created bottlenecks, delaying decision-making and reducing productivity.
- Scaling Challenges: Integrating new factories and systems into the existing infrastructure became increasingly complex.
- Lack of Global Integration: Isolated factories hindered regional data sharing and collaboration.
Solution
Symufolk implemented a centralized data platform tailored to Electrolux’s needs. A Master Data Management (MDM) framework was introduced to unify data structures across factories, ensuring consistency and accuracy.
Automated data pipelines were established for real-time processing, enabling predictive maintenance and reducing manual interventions.
The solution was designed with scalability in mind, allowing seamless integration of new factories and technologies. By leveraging Industry 4.0 technologies, Electrolux was empowered to achieve operational efficiency, reduce downtime, and prepare for future expansions.
our input
Python
GraphQL
Node.js
NestJS
PHP
Microsoft Net
RESULTS
By centralizing data, SymuFolk streamlined operations, real-time decision-making, and global integration, enabling predictive maintenance and automation for Electrolux’s Industry 4.0 transformation.
30%
30%
Real-Time Insights
Achieved 30% faster decision-making across regions.
25%
25%
Data Standardization
Reduced errors by 25% and improved benchmarking accuracy by 40%.
20%
20%
Predictive Maintenance
how we did it
Data Standardization
Implemented a Master Data Management (MDM) framework to unify data structures across factories.
Real-Time Processing
Predictive Analytics
Scalability & Flexibility
Team Members
Time Period
Technologies
WE USED
English 
Portuguese 
Arabic 
German