Engineering & Automotive


Learn how augmented analytics, machine learning and AI are transforming the digital journey for engineering & automotive
industries. Our on-cloud or on-premise Engineering Design Optimization solution helps in improving efficiency.



Machine Learning

Supply Chain &
After Sales

  • Demand forecasting
  • Inventory Management
  • Price Optimization
  • Customer complaints & Warranty analysis
  • e-Commerce app marketplace
Business Analytics

Accelerated CAE & Optimization

  • Spot weld Optimization
  • BIW Fatigue life optimization
  • ML based weight target setting using benchmark data
  • Frontal crash meta model
Big Data Engineering

Manufacturing &
Internet of Things

  • Edge processing
  • Anomaly detection using computer vision
  • Real time analytics of Big data
  • Defect path prediction

Big Data Engineering

Predictive Maintenance

  • Reduce downtime of business-critical machines
  • Clutch failure prediction
  • Achieve high asset utilization
  • Just in time replacement
  • Lower inventory costs
Pharma


We built an EDI parser for all the vendors to send information digitally using the X12 protocol, for greater accuracy and speed.

• Fetch orders from SFTP, Email, AS2 & 7 types EDI transactions handled; integrated with SAGE software

• Vendor performance reporting – usage and sales report, revenue report, shipment date prediction

e-Commerce App Marketplace


Pharma


We extracted Customer Quality Narrations related to Buzz, Squeak and Rattle (BSR) from service requests

• Used NLP/text analytics for rationalizing quality degradation during warranty life of automobile

• Classification into Automotive ontology using ML for model enhancements and JD Power rating improvements

Customer Complaints &
Warranty Analysis

Pharma


OEMs run several simulations which takes several hours and is quite expensive. Data science applied for faster convergence

• Sampling, sensitivity analysis, dimensionality reduction, model parameter tuning using genetic algorithms

• Multi pass modeling carried out to ensure impact of responses on each other are captured

Frontal crash model
to augment simulations

Pharma


Reduced the vehicle manufacturing cost and design cycle time while retaining the required strengths.

• Considering a vehicle with 4326 welds, 388 welds were reduced. This is around 9% savings in overall spot weld count, a $13+ million overall savings

• ICUBE CSI-Ex (ML based) accelerates the optimization and reduces manpower costs by up to 50%.

Spot weld Optimization


Pharma


Our solution kept a check on weight of vehicle while designing through benchmark-based predictions

• Text processing to extract significant parameters for design and associated weight information

• Outlier analysis and prediction models identified sensitive components and ideal weight

Vehicle Model weight
prediction in design

Pharma


Automated the workflow for operators to reduce cycle time, to exchange data in real time

• Can read real-time data of multiple lathe configurations and send the data to database with details of the job operation.

• Job submission to machining cycle time reduced by 92% to less than 5 mins; reduced PLM licensing costs and enabled RFID tracking of each tool

OptiCAM – Automation of Workflow


Pharma


Improved Product Yield by discovering trends to identify defect root causes and corrective actions in real time

• Integration of data from PLCs, Process control systems, and held in a cloud-based data lake to maintain manufacturing data

• Image classification, Statistical and Visual Analytics to identify and classify defective lenses; 10% improvement in yield on one line.

Manufacturing Process Analytics

Pharma


The objective was to predict downtime for a system that is generating 400+ alerts and as alerts streamed in in real time.

• Online gathering of alerts and Data Integration from multiple alerts

• Tracking and evaluating alerts through model for prediction of next downtime

Predicting Downtime
from the Alerts

Pharma


Predict the clutch failure of a vehicle by using predictive AI algorithms using data collected from vehicles onboard diagnostics

• Surrogate models are created to calculate the clutch temperature by predicting the change in parameters.

• Change in clutch temperature helps the algorithms predict and send warnings to the user to avoid failure.

Clutch Failure Prediction

Pharma


For a large vision care manufacturing house, we simulated the manufacturing process for defect tracing.

• Mapping of manufacturing steps and defects origin and progression through the manufacturing line

• Modeling for defect flow path and prediction of defects in downstream steps

Defect path prediction

Are you looking for data science solutions in Engineering & Automotive?

What Our Clients Say

Heka

"What we love about ICUBE CSI is their enviable workforce who is very passionate about partners success, showcasing the true meaning of a great synergy. The team has quickly learned the intricacies of Healthcare domain and has provided fantastic solutions. Highly recommend them."

Prashanthi Manchukonda
Pro Unlimited

"We really value our long-term relationship with iCube. In addition to the quality of work, a key advantage of partnering with iCube is the governance by the management team. Whenever we had a challenge or opportunity, iCube was a professional, competent partner. I recommend them."

Ted H Sergott
UF

"The University of Florida Institute for Child Health Policy has worked closely with ICUBE CSI for over two years in developing online portals for visualizing health care data. ICUBE CSI has been exceptional with the planning, design, and execution of our portal development. Their developers are talented, professional, and work to understand our needs throughout the entire development process."

Deepa Ranka
Heka

"What we love about ICUBE CSI is their enviable workforce who is very passionate about partners success, showcasing the true meaning of a great synergy. The team has quickly learned the intricacies of Healthcare domain and has provided fantastic solutions. Highly recommend them."

Prashanthi Manchukonda
Pro Unlimited

"We really value our long-term relationship with iCube. In addition to the quality of work, a key advantage of partnering with iCube is the governance by the management team. Whenever we had a challenge or opportunity, iCube was a professional, competent partner. I recommend them."

Ted H Sergott
UF

"The University of Florida Institute for Child Health Policy has worked closely with ICUBE CSI for over two years in developing online portals for visualizing health care data. ICUBE CSI has been exceptional with the planning, design, and execution of our portal development. Their developers are talented, professional, and work to understand our needs throughout the entire development process."

Deepa Ranka

Want to speak with an ICUBE CSI Expert?