References
Siemens
Predictive Analytics Partner for Predictive Services
T-Systems
Predictive Quality Control
German Rail
Avoiding total damage thanks to predictive maintenance
EnBW: Full Potential For Renewable Energy Usage
Innovative analytics approach enables future-oriented solutions for renewable energy
BASF: Capacity Planning
Capacity Planning: 5 – 10 % Cost Reduction Potential
SAP
1st pure Predictive Analytics Partner in Germany
Bosch
Predictive Quality Analytics in Production
Opel
Self-Learning Predictions for optimizing Power Plant Operation and Energy Trading
Knauf
Root Cause Discovery and Optimization for Quality Parameters in Production
ZF
Self-learning AI Improves Production Quality in Complex Variant Processing: 20% faster in error finding
Police
Discovering communication patterns in organized crime
EVO: Machinery Control / Simulation
Heat Recovery saves 25 % of Energy
NTT Facilities
Failure Prediction for Critical Air-conditioning System
LG: Predictive Heating/Cooling
Adaptive Hotel Solution to Minimize Energy Costs
RES-COM
Research project Industry 4.0
Dillinger Hütte
Energy Demand Analysis
Koehler Paper Group
Predictive Quality Analytics in Production
Stadtwerke Saarlouis: Renewable Energy Prediction
Flexible and Precise Predictions despite High Volatility
Bartz Werke
Reduction of Energy Resources in Casting
Bundesministerium für Bildung und Forschung
Research project Industry 4.0
Saarstahl
Logistics Optimization
Netzwerke Saarlouis: Gas Prediction
Twice as Precise than State of the Art Solution
Wittenstein
Predictive Maintenance
DFKI
Research project Industry 4.0
Hager Group
Predictive Building Control
DesigNetz
The Operating System for Energy Transition
Mobil saar
Research project Mobility 4.0
CyProS
Research project Industry 4.0
Guided AB
Predictive and self-learning house automation
Bundesministerium für Verkehr, Bau und Stadtentwicklung
Research project Industry 4.0
Vicar
Customer Analytics and Recommendations
Thanks to self-learning Artificial Intelligence, our standard software has proven itself in different
industrial branches. On the one hand, it improves our clients operative results. On the other hand,
costs over years are reduced significantly, because necessary modifications – caused by changed
processes – are understood automatically by Self Learning Algorithms. Thus, there is no need for a Data
Scientist to adapt the solution again and again.
Learn more with our videos.
Industries
Artificial Intelligence is required in all industrial branches. Hot topics are often the same, like:
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.