Predictive maintenance
Downtime in the production and supply chain result in significant costs, delays and deteriorated customer satisfaction. Our predictive maintenance solution datifies your manufacturing process, provides insights and foresights about your production chains and generates predictions about defects, bottlenecks, product quality guiding your maintenance operations on an ongoing basis and resulting in smoother, more streamlines manufacturing chain.
- Predictions of breakdowns, corrosion and defects
- Generation of evolutive models defining the root causes of defaults, defects, breakdowns, poor product quality
- Manufacturing operations dashboard featuring the main KPIs used for both tactical as operational decision making.
Dynamic customer segmentation
Customer needs and expectations are changing rapidly, and traditional multi-criteria segmentation or clustering methods are no longer sufficient to act on the rapidly changing customer needs. The solutions allows to anticipate on customer needs based on a robust modelling of their behaviour and preferences, giving your company a leap ahead of the competition.
- AI inferred customer segmentation
- Automatic update of the segmentation identifying emerging customer behavioural patterns
- Ongoing recommendation engine for up-selling, cross-selling, Next Best Opportunities, Next Best Actions, best channel
Related news
Data has become a primary mode of knowledge production in the 21st century. It is both a matter to be analyzed and an infrastructure for analysis as it becomes increasingly…
“They were heroic” That’s what the Start’Act team said about MajestEYE along with other Tunisian startups for their contribution in their efforts in the fight against the COVID19.“The period of…
Did you know that the global construction market will be worth $15 trillion by 2025 at a CAGR of 7%? That is a huge market. And yet it is a…
Nicky was very pleased to catch up Jihed. MajestEYE, a Data Analytic Technology Vendor, is part of the Innovation Martlesham Incubator facility Nicky opens the podcast by asking about the origins of…
