Boosting Progress & Safety Reporting Using AI

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

Identifying Saving Opportunities using Smart Spend Analytics

Auto-categorised spending based on the historical data in the client database. 

Complete categorisation enabled the procurement team to:

-Have better overview of spending in more granular level
– Identify saving opportunities with suppliers in each category

Enhancing Product/Supplier Analytics

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. 

Reducing Production Loss in Daily Operations using AI

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

Content Curation Platform

Utilising our years of expertise in Language Processing, Social Media Analytics and Web Scraping technologies, We have combined two of our previously successful technologies to create a Content Curation Platform which helps the users Discover, Organise and Publish blog posts in minutes.

Extracting Value from Silos of Documents

Extracting Value from Silos of Documents Using AI

100,000s of siloed documents were automatically organised into relevant folders/subfolders enabling users to easily search and monitor important documents with ease.
Helping the client save over £800K in operational cost and 5000 operational days.

Social Media Monitoring

Around 20 million monthly articles from 10,000 data sources were monitored and processed automatically, enabling users to:

– Find relevant content or articles efficiently;
– Measure and track popularity of topics on-demand
– Monitor trending topics and sources in real-time in one place

Estimated value for this work was:
– 40x more articles monitored and filtered per topic per day
– Around 40% less time spent reading articles per day
– Around £100 saving per topic/day