AI solutions

AI-assisted reporting.

We aim to develop applications that help users ask questions about ERP and other business data, interpret reports and identify important changes. The starting point will be defining data sources, indicators and the business questions users need to answer.

• Data and reporting scope based on business questions
• Report summaries and interpretation of indicators
• Answers that can be checked against source data

Production optimization.

We plan to explore applications that use production data to assess bottlenecks and support comparisons between planning options. Production conditions, data quality and business priorities will shape each use case.

• Preparation of production and resource data
• Assessment of bottlenecks and deviations
• Comparison of scenarios with operations teams

Capacity and scheduling algorithms.

We aim to develop scheduling approaches that consider machinery, labor, materials and deadline constraints together. Algorithms will be selected around the problem, with proposed plans evaluated against existing workflows and real operating conditions.

• Definition of capacity, calendars and work constraints
• Comparison of planning options
• Schedule recommendations reviewed by the operations team

From prepared data to a controlled pilot.

These areas are part of our development roadmap. For each engagement, we plan to clarify data access, quality and measurable pilot goals before validating outputs with users. Integration with Canias ERP or other systems will be considered within the scope, with people retaining control over decisions and implementation.