Enabled the senior Oil & Gas managers to track and monitor :
– Common causes & length of delay to project per region/site
– Health & Safety incidents on each site
– Overview of progress reports by managers on different projects, sites and regions
Auto-matched products from different suppliers, enabling the procurement team to :
– Identify which supplier had better delivery track record for the same product.
– Identify which supplier received most number of complaints, so they could investigate the reasons
– Compare purchase prices for the same product and explore saving opportunities.
Developed a suitable Image Analytics algorithms which utilised Machine Learning and Deep Learning to estimate the cost of repair provided with an image of the car involved in an accident.
Identified related Entities in daily operational events, in order to:
– Identify the most common reason for loss in production;
– Track the number of events or amount of loss related to each location, equipment or other mentioned entities in legacy comments;
– Access the key information from anywhere
