Industries

Artificial Intelligence is required in all industrial branches. Hot topics are often the same, like:

• Reducing waste in production (Predictive Quality)
• Having critical machinery running reliably (Predictive Maintenance )
• Optimizing transportation (Predictive Logistics)
• Reducing energy costs in production (Predictive Energy)
• Optimizing resource efficiency in smart grid (Predictive Energy Grid)
• Reducing credit risks and knowing your client better (Predictive Finance)
• Using HR, machinery and material in an optimal way (Predictive Resource Planning)
• Managing buildings efficiently (Predictive Building)
• Knowing how to sell best (Predictive Sales)

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.
  for
  • 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.
  for
  • 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.
  for
  • 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, ...
  for
  • 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.

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.