Industry & Manufacturing
Optimise your operations with data science
Harness the power of data science and machine learning to anticipate breakdowns, improve your production processes, strengthen quality control and reduce your energy costs.
OUR SOLUTIONS
Key challenges in Industry & Manufacturing
The industrial sector is facing increasing complexity: intensifying global competition, cost pressures, heightened regulatory requirements and a transition towards more sustainable production models. In this context, companies must leverage their data to remain competitive and perform well.
Efficiency & productivity
Faced with pressure on deadlines and margins, manufacturers must optimise every stage of their production in order to increase their yield without compromising quality.
Reliability & continuity of operations
Ensuring equipment availability is essential to avoid unexpected production stoppages, which result in significant financial losses.
Quality & compliance
Quality standards are becoming increasingly demanding, requiring tighter controls and a drastic reduction in errors.
Energy transition & sustainability
Controlling energy costs and reducing carbon footprints are strategic priorities.
OUR SOLUTIONS
Key AI Use Cases in
Industry & Manufacturing
01
Predictive equipment maintenance
Deployment of predictive models to anticipate breakdowns before they occur. This enables maintenance planning, increases machine availability and reduces unplanned downtime.
02
Production optimisation via the IoT
Utilising data from IoT sensors to adjust production parameters in real time, improve efficiency and reduce downtime.
03
Computer vision-assisted quality control
Using computer vision algorithms to automatically detect defects, reduce scrap rates, and ensure consistent quality.
04
Reducing energy costs through predictive modelling
Analysis and modelling of energy consumption in order to identify areas for optimisation and support the transition to more sustainable processes.
OUR SOLUTIONS
Benefits for Your Business
Choosing HAXAN for your data and AI projects in the e-commerce and retail sector means transforming your data into a real driver of growth.
Improvement in conversion rate
Using personalised recommendation engines, each customer receives relevant offers tailored to their profile and behaviour. This personalisation significantly increases cross-selling and upselling.
Increase in margins
Dynamic pricing allows you to automatically adjust prices based on demand, competition and seasonality. You maximise your margins while remaining highly competitive in the market.
Reduction in logistics costs
The use of predictive models for inventory and supply chain management reduces the risk of overstocking or shortages. This results in cost optimisation, improved product availability and smoother logistics.
Enhanced loyalty
By carefully analysing purchasing journeys and anticipating needs, you can offer a smoother and more engaging customer experience. This approach promotes satisfaction, retention and long-term loyalty.
Our experts will respond promptly.
Enter your email address and receive a personalised initial consultation.
Industry & Manufacturing
Our Support Methodology
To discover how we adapt this methodology to your industrial context :
At HAXAN, we place methodology at the heart of our projects to ensure rapid, measurable results that are tailored to the realities of your industrial organisation. Our approach consists of three key stages:
1. Audit & scoping
We analyse your existing data, processes and priority issues. This phase allows us to identify the most relevant use cases for your business (maintenance, quality, production, energy) and define a realistic roadmap.
2. Deployment of solutions
Our experts design and train customised AI models (machine learning, IoT analytics, computer vision, etc.). The solutions are integrated into your production environments with a particular focus on scalability and security.
3. Monitoring & continuous improvement
Once the models are in production, we monitor them using robust MLOps practices. Performance is tracked in real time, with regular adjustments to ensure effectiveness and maximise long-term return on investment.