About the client
Company specializing in the development of advanced solutions in Machine Learning and Natural Language Processing (NLP) solutions, focused on helping organizations in different sectors optimize their operations and maximize their return on investment through the strategic use of artificial intelligence.
The company works with clients in retail, manufacturing, and transportation, offering predictive and analytical models tailored to the specific needs of each industry.
Key impact
6–8 weeks
Average model implementation time
USD 1M+
Additional revenue generated
15%
Reduction in operating costs
20%
Decrease in production process defects
10%
Savings in fuel consumption
The challenge
The client needed to scale the development and implementation of machine learning models for multiple industries, maintaining short delivery times and ensuring a real impact on their clients’ business indicators.
Among the main challenges were:
Optimizing complex operations with large volumes of data.
Demonstrate a clear and measurable return on investment for end customers.
Adapt artificial intelligence models to diverse industrial contexts without losing accuracy or efficiency.
Integrate AI solutions into heterogeneous technological infrastructures.
What did Novacomp do?
Machine Learning models, focused on solving critical business problems across different sectors.
The developed solutions included:
Retail
Inventory optimization models based on demand forecasting.
Reduction of overcosts caused by excess stock and inventory shortages.
Manufacturing
Automated quality control systems using predictive analytics.
Early detection of defects in production processes.
Transportation
Optimal route prediction models considering operational and consumption variables.
Logistics optimization and fuel cost reduction.
All models were designed for easy integration with existing systems and deployed in scalable cloud environments.
Results obtained
- Implementation of production models in 6 to 8 weeks
- Generation of over USD 1 million in additional revenue
- 15% reduction in operating costs
- 20% decrease in manufacturing defects
- 10% savings in fuel consumption
- Significant improvement in operational efficiency in every industry served
