Industries

Industries & real-world applications

To give you a better understanding which analytical challenges other industries solve with our self-learning PREDICTIVE INTELLIGENCE solution, some examples are listed here.

Automotive / Supplier

Self-learning PREDICTIVE INTELLIGENCE

Analyses assets like
- Robots (welding, painting, handling, ..), presses, etc.
- Quality assessments / predictions (i.e. car body welding spots),
  Predictive maintenance (i.e. welding gun, cable package, gear or entire drive train)
Analyses end-to-end production process
- For transmissions and other car components
- To discover root cause of minor quality although interim production steps' specification was always met
Analyses energy consumption
- For various machineries or entire plants for heat and electricity
- To reduce energy costs
  to automatically recommend optimal energy plant operation and optimal energy trade.

Discrete manufacturing

Self-learning PREDICTIVE INTELLIGENCE

Analyses assets like
- Stamping machines, spindle machines, etc.
- Quality assessments / predictions
  (i.e. for injection pump production machinery)
  Predictive Maintenance
  (i.e. for cable shoe production machinery)
Analyses end-to-end production process
- For products like semiconductors
- To discover root cause of minor quality although interim production steps' specification was always met
Analyses energy consumption
- For various machineries or entire plants for heat and electricity
- To reduce energy costs
  or to automatically recommend optimal energy plant operation and optimal energy trade.

Process industry

Self-learning PREDICTIVE INTELLIGENCE

Analyses material like
- Steel, paper, cement, glass, chemistries, etc.
- Quality assessments / predictions (i.e. for paper or cement quality)
  Predictive Maintenance (i.e. for rolling mill)
Analyses end-to-end production process
- For, i.e., plaster products
- To discover root cause of minor quality although interim production steps' specification was always met
Analyses energy consumption
- For complex machineries like cement mill and steel oven
- To reduce energy costs and
  to find root cause for high energy consumption.

Logistics

Self-learning PREDICTIVE INTELLIGENCE

Analyses assets like
- Locomotives, rail way wagons, tracks, ...
- Predictive Maintenance (i.e. motors, air conditioning systems)
Analyses transportation demands
- I.e. for material from plant to harbor or for people at station hubs
- To predict different demands highly accurate for better planning of locomotives, wagons, staff, ...
Analyses energy consumption
- For locomotives or e-cars
- Gives recommendations to driver how to reduce energy without getting negative effects on schedule, machinery, ...

Energy grid

Self-learning PREDICTIVE INTELLIGENCE

Analyses assets like
- Power plants, complex machineries (i.e. steam gas turbine, boilers, machineries to generate renewable energy)
- For dynamic efficiency,
  for finding influencing factors for inefficient usage,
  for Predictive Maintenance
Analyses grids (producers, consumers, prosumers, both industrial and private)
- For highly accurate predictions
- For steering energy flows in a predictive way
- To reduce external energy purchase
- To improve power trade margin
- To use renewable energy most efficiently.

Financial services

Self-learning PREDICTIVE INTELLIGENCE

Analyzes internal and external financial data like credit applications, account data, … as well as companies´ balance sheets, etc.
For anomaly detection and prediction
- In banking and insurance sector
- I.e. to reduce credit risks, discover fraud or understand clients´ demand structures.

Predictive Intelligence for complex processes

Cross industry

Self-learning PREDICTIVE INTELLIGENCE

Analyses online shop users and predicts
- When they will buy again (for targeted newsletter distribution),
- What they will buy again (for targeted advertisements)
- What they will return (for avoiding returning goods).
Analyses capacity in complex processes,
- Like optimal HR allocation of thousands of workers or machinery and material in multi-national construction projects
- Like planning and renting for thousands of resources, i.e. rail way wagons.

You find further explanations for „hot topics” here:

Industries & real-world applications

Self-learning PREDICTIVE INTELLIGENCE

Self-learning PREDICTIVE INTELLIGENCE

Self-learning PREDICTIVE INTELLIGENCE

Self-learning PREDICTIVE INTELLIGENCE

Self-learning PREDICTIVE INTELLIGENCE

Self-learning PREDICTIVE INTELLIGENCE

Self-learning PREDICTIVE INTELLIGENCE

Reducing waste in production

Having critical machinery running reliably

Optimizing transportation

Reducing energy costs in production

Optimizing resource efficiency in smart grid

Reducing credit risks and knowing your client better

Using HR, machinery and material in an optimal way

Managing buildings efficiently

Knowing how to sell best

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