Sentiment Insight Tool
A city council engaged Blackbook.ai to build a solution that was able to provide complaint sentiment analysis in order to deliver users with insights and trends in the complaints.
Marketing
Accounts Payable Process Automation
Zanui is Australia's online destination for furniture and homewares for both consumers and businesses. The organisation is dedicated to offering the best quality products, the widest selection, and the best customer service in the Australian furniture industry. In addition to Décor, Walk'N'Talk, Black Ice, and Aerial, Zanui belongs to a company called Marlin Brands, which serves more than 18,000 retailers throughout Australia and New Zealand.
Application / Resume Classification & Scoring
Recruiters can save hundreds of hours screening applications by incorporating AI and automation in the process.
Smart Warehouse Management​
Stock taking is a time consuming task that most organisations do manually. By leveraging Internet of Things (IoT), tracking inventory levels and re-ordering stock in real-time is now possible.
Kerbside Dumping Detection
A local council engaged Blackbook.ai to develop a solution that would harness the council's garbage truck cameras as a reliable and consistent source of data for detecting rubbish piles and mattresses left on the kerbside.
Parking Infringement Prediction
A large city council engaged Blackbook.ai to build a model capable of predicting areas with higher likelihood of parking infringements.
Anti-Social Behaviour Detection
A large public transport company engaged Blackbook.ai to develop an AI powered edge monitoring device, capable of detecting both abusive language and damage to property.
Employee Offboarding Automation
Organisations with high staff turnover rates can save valuable time by automating offboarding processes.
Automated Vendor Reconciliations​
The client engaged Blackbook.ai to find ways to support their Accounts Payable (AP) team when processing documents.
Call Centre Forecasting & Workforce Scheduling​
Take the guesswork out of rostering call centre staff. By using machine learning and predictive analytics, you can effectively manage your workforce and improve customer service.
