Manufacturing projects.

1. Production Planning Optimization


Optimize production schedules for manufacturing companies, synchronizing tasks across multiple machines and logistics operations.

Partner company

FMCG manufacturing company


Complex Production Scheduling

Managing and synchronizing tasks across multiple machines and production lines.

Inventory and Delivery Delays

Minimizing machine downtime and reducing inventory and delivery delays.

Operational Constraints

Handling a wide range of constraints in production and distribution.


Advanced Production Planning Pipeline

Implemented Giotto’s AI pipeline to generate optimized production schedules, integrating machine operations, constraints, and demand profiles.

Optimization Strategies

Employed a range of strategies from traditional linear programming to parallel genetic algorithms for comprehensive planning.

Synchronization of Operations

Created production plans that synchronized manufacturing and logistics, optimizing the entire supply chain.

Business value delivered

Enhanced Throughput

Improved overall throughput by minimizing machine downtime and ensuring continuous production flow, leading to a 20% increase in production efficiency.

Reduced Delays

Decreased inventory and delivery delays by 25%, leading to more reliable operations and timely deliveries.

Scalable Planning

Enabled scalable and flexible production planning that could adapt to various constraints and demands, handling a 35% increase in production volume.

2. Predictive Maintenance


Implement predictive maintenance to enhance equipment reliability and minimize downtime in manufacturing operations.

Partner company

Automotive closures manufacturer


Unexpected Equipment Failures

Frequent unplanned breakdowns leading to production halts and increased repair costs.

High Maintenance Costs

Reactive maintenance practices resulting in high costs and resource utilization.

Data Utilization

Ineffective use of data from machine sensors to predict failures and schedule maintenance.


AI-Driven Predictive Maintenance

Implemented Giotto’s predictive maintenance solution using machine learning to analyze sensor data and predict equipment failures.

Real-Time Monitoring

Deployed real-time monitoring systems to continuously assess machine health and performance.

Proactive Maintenance Scheduling

Developed models to forecast maintenance needs and optimize maintenance schedules, reducing the likelihood of unexpected failures.

Business value delivered

Reduced Downtime

Achieved a 40% reduction in unplanned downtime, enhancing production continuity.

Lower Maintenance Costs

Decreased maintenance costs by 20% through proactive scheduling and efficient resource use.

Improved Equipment Lifespan

Increased the lifespan of machinery by 15% due to timely and precise maintenance activities.

3. Quality Control for Chemical Products


Implement an AI-driven quality control system to enhance product inspection processes, ensuring high quality and consistency in chemical manufacturing operations.

Partner company

Chemical manufacturing company


Manual Inspection Limitations

Manual inspection processes are time-consuming, prone to errors, and unable to scale effectively with increasing production volumes.

Inconsistent Quality

Variability in product quality due to human error and inconsistent inspection standards.

High Defect Rates

Increased defect rates resulting in higher rework costs and customer dissatisfaction.


AI-Powered Inspection Systems

Implemented advanced AI and machine learning algorithms to automate the inspection of chemical products, ensuring they meet stringent quality standards.

Real-Time Defect Detection

Deployed real-time monitoring systems to identify and classify defects in chemical compounds and mixtures during the production process.

Standardized Quality Metrics

Developed models to ensure consistent application of quality standards across all production lines, reducing variability and human error.

Business value delivered

Reduced Defect Rates

Achieved a 30% reduction in defect rates due to accurate and consistent inspection processes.

Increased Inspection Efficiency

Improved inspection speed by 50%, allowing for higher production volumes without compromising quality.

Enhanced Product Quality

Ensured a consistent application of quality standards, leading to higher customer satisfaction and reduced returns.

Let's innovate together

Contact us to discuss how we can work together to explore the potential of AI for achieving your goals.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.