Challenge: A manufacturing company was spending in average 25% of their time in corrective maintenance. Today, this manufacturer sees maintenance as a strategic business function as opposed to a necessary evil. The challenge was: Reducing both maintenance costs and downtimes Optimising maintenance time windows and spare parts ordering Increasing asset lifecycles. Solution: SuperGraph Predictive Maintenance solution looked […]

Challenge: In a supply chain of goods, the agent handling the containers wanted to predict which containers were likely to have poor quality products to avoid checking all containers that arrive in the harbour. The Agent thought the data was not available, so set out to collect data first for a period of 2 years […]

Challenge: Handle more claims automatically while detecting fraud with much higher accuracy and far less false positives. Solution: with Deep Learning models car insurers are now able to handle higher volumes of claims with less effort, identify exactly those customers that are outside normal expected damage claims, with remarkable accuracy. Benefits: Car insurers experience high cost reductions as […]