Management software and AI for the Manufacturing industry
Management software developed to meet the specific needs of players in the manufacturing industry.
Production optimisation, up to 30% increase in output
Simplified traceability up to 40% more efficient
Quality control , 25% reduction in defects
Predictive Maintenance up to 35% reduction in downtime
Our made-to-measure creations
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Basic Plan
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Creation of customised production management software for the manufacturing industry
How can you improve the efficiency of production management in the manufacturing industry by automating order tracking, stock management and resource planning processes?
Data Centralisation: Integration of all production, order and stock information on a single platform for simplified management and real-time access to crucial data.
Process automation: Implementation of automated functions for order tracking, stock management and resource planning, reducing manual administrative tasks and minimising the risk of errors.
Real-time tracking:Development of real-time tracking tools to monitor stock levels, order status and production performance, enabling rapid, informed decision-making.
Advanced planning:Creation of advanced planning tools enabling managers to view and manage production schedules effectively, taking into account production capacity and delivery times.
Improved operational efficiency: 50% reduction in the time spent managing stocks and orders thanks to automated processes.
Reduced errors: 40% reduction in errors associated with manual stock and order management, ensuring greater precision in resource management.
Increased productivity: 35% increase in the productivity of production teams by reducing repetitive administrative tasks and optimising the use of resources.
Resource optimisation: 45% improvement in resource planning, enabling more efficient use of production capacity and better management of delivery times.
Creation of bespoke ERP software internal management software Tellos Group
How can Tellos optimise its human resources management by simplifying and automating its holiday planning processes through the implementation of dedicated software?
Centralisation of data: integration of all employee holiday information into a single platform for simplified management and easy access to data.
Automated functions for requesting, approving and monitoring leave, reducing manual administrative tasks and the risk of errors.
Creation of a leave tracking system and individual employee files for efficient management of leave history and remaining entitlements.
Development of advanced planning tools enabling managers to view and manage leave schedules efficiently, taking into account the team's availability and needs.
- 60% reduction in time spent on holiday management thanks to automated processes.
-50% fewer errors associated with manual holiday management, which contributes to more accurate monitoring of holiday entitlements and balances.
Increased HR team productivity by over 30% by reducing repetitive administrative tasks and freeing up time for higher added-value activities.
Gantrex: Artificial Intelligence solution for the rail industry
Gantrex: AI analysis and detection of rail anomalies
Comment améliorer la maintenance des rails chez Gantrex en utilisant des outils d’intelligence artificielle pour détecter et anticiper les anomalies, tout en optimisant les ressources et en réduisant les temps d’immobilisation ?
Development and deployment of advanced artificial intelligence algorithms for real-time analysis of rail conditions, enabling early detection of irregularities.
Implementation of machine learning models to predict rail maintenance requirements based on historical and real-time data, enabling proactive planning of interventions.
Using advanced data analysis techniques to extract relevant insights from collected data, facilitating informed maintenance decisions.
Implementation of an automatic report-generating system providing detailed information on the state of the rails and the action required in real time, enabling rapid response
- 40% reduction in train downtime thanks to early detection and anticipation of maintenance needs.
-30% reduction in maintenance costs thanks to proactive scheduling and more efficient use of maintenance teams.
- 50% reduction in the risk of accidents due to rail defects, thanks to early detection and rapid intervention.
Improved rail availability of over 20% thanks to preventive maintenance based on accurate predictions, enabling more efficient use of rail infrastructure.
IDETA energy forecasting system using Artificial Intelligence
How can the energy management of neighbourhoods in Wallonia be improved by using data analysis and artificial intelligence solutions to accurately forecast energy consumption needs and encourage more efficient consumption?
