Success story
Infrastructure that supports and scales operations efficiently, ensuring high system availability and customer satisfaction.
About Domina
Dominate It is a Colombian company logistics, product delivery and postal services. The company serves various business niches, including the financial, document, retail, e-commerce, and pharmaceutical sectors. Its value proposition focuses on provide exceptional service, responsibility as a strategic ally, robust infrastructure, secure processes, and reliability.
Years in the Market
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Annual Shipments
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National Departments
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National Employees
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How did uCloud help Domina?
What were the challenges and what actions were taken to ensure good results.
Challenges
- Information was in 2 completely different applications.
- They never had data in common.
- Need for consistent indicators
- Reports and statuses are out of date
- Eliminate human error
Implementation
The implementation was carried out in three phases, from May to October 2023, with support from partner uCloud. The first phase focused on the building a Data Lake with Cloud Storage and Datastream to consolidate structured and unstructured data. The second phase focused on the development of a Data Warehouse using BigQuery, Cloud Run Functions, Workflows, and Cloud Scheduler to improve reporting and analytics. Finally, the third phase was dedicated to the implementation of AI solutions with Artifact Registry, Cloud Monitoring, Vertex AI, and Gemini APIs for predictive modeling and route optimization, as well as corporate chat and other internal applications.
Results
Domina achieved a 360-degree view of your processes, improving a 80% the speed access to critical information and reducing it by 100% report generation timeThis led to a 20% reduction in operating costs and an increase in 5% in compliance with the ANS. AI made it possible to predict package returns, improving a 15% delivery effectiveness. Google Cloud's scalable infrastructure also handled a 40% increase in data volume without affecting performance, transforming Domina into a more agile, efficient and innovative company.
Notable benefits after implementation:
Access to Real-Time Information
Improved speed for decision-making
Improved speed for decision-making
Domina experienced an improvement in the speed with which it accessed critical information in real time with the 80%. This significantly accelerated decision-making and operational agility, enabling a faster response to business needs.
Improved Delivery Effectiveness
Logistics optimization thanks to AI
Improved Delivery Effectiveness
The implementation of machine learning models improved the effectiveness of package deliveries by 15%. Domina can now predict returns and proactively manage shipments, increasing customer satisfaction and reducing costs.
Reduction in Report Generation
Complete automation and operational efficiency
Reduction in Report Generation
A 100% reduction in report generation time was achieved. Automation of this manual process freed up valuable resources and eliminated bottlenecks, resulting in greater efficiency in daily operations.
Reduction of Operating Costs
Greater efficiency and optimization of resources
Reduction of Operating Costs
The automation of data analysis and process optimization resulted in a 201Q6 reduction in operating costs. This was achieved by identifying and eliminating inefficiencies, maximizing the use of operational capabilities.
Increased Compliance with Service Level Agreements (SLAs)
Greater confidence and fewer losses
Increased Compliance with Service Level Agreements (SLAs)
Real-time visibility into processes and results enabled a 5% increase in SLA compliance. This prevented losses associated with delays or non-compliance, improving customer confidence and the company's reputation.
Business Scalability and Adaptability
Robust infrastructure for future growth
Business Scalability and Adaptability
Google Cloud's scalable and secure infrastructure allowed it to adapt its solutions to growth, handling a 40% increase in data volume without impacting performance. This ensures the company's ability to expand and explore new business opportunities.
Technology used
- Compute engine
- Data flow
- Cloud Run
- Cloud Scheduler
- Cloud Workflows
- BigQuery
- Cloud Storage
- Vertex AI
" The good thing about Vertex It speeds up the process. So if you want to implement artificial intelligence, you don't have much budget and you don't have much time. It's like the solution "
John Anderson Cardozo
Head of Analytics and Business Intelligence
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