Predictive Maintenance
Predictive maintenance periodically monitors equipment based on the analysis of data collected through monitoring or on-site inspections. One of the objectives of predictive maintenance is the timely verification of equipment in order to anticipate eventual problems that may lead to higher costs with corrective maintenance.
Data Gathering
Collecting data. One of the most important steps. Reading sensors, for example.
Infrastructure
All read data must be stored if you want to use it usefully. With a correct infrastructure you prevent that no data is lost.
Data Engineering
Bringing data together is one thing, editing data so that you can get useful information from it is another.
Reporting
Convert collected data neatly into understandable language and gain insight into what actually happened.
Modelling
Once the right data is available, experiments can be conducted with intelligent algorithms to make things a lot brighter in the future.
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Smart Product Data Management
A number of add-ons which add intelligence on top of your PIM solution, in order to greatly reduce manual labor for classifications, conversions, enrichment, etc. and improve the quality of product data.
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Supply Chain Optimization
A group of standardized services which use data science and machine learning for optimization of purchasing, pick and putaway processes, and forecasting of demand in a single or multilevel supply chain.
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