AI to detect ~4 Million anomalies and save time

In his 12 years of experience with cutting-edge ML applications, Vignesh believes that the next stage of revolution is where we democratize AI as a technology for everyone. The release of the AI-powered smart invoice suggestions in our product QuickBooks Advanced is one such upgrade where Vignesh and his team was part of. 

This feature alerts users with discrepancies found during invoice entries. A complex spell-check for data entries, customized for each business. Within a few months of release, 4 million anomalies were detected, saving our customer’s review time that was earlier spent in correcting discrepancies. It’s only the beginning of how we continue to add value to help small businesses with AI powered business insights.

Smart savings with machine learning

With the ‘Budget Recommendations’ feature on our product – Mint, Sumit and his team harnessed ML to help customers save smarter by predicting user spends. Built end-to-end from India in just 3 months, this feature was a result of seamless collaboration involving multiple teams and its recommendations kept improving as the model kept learning from user’s spending patterns over time.

While 80% of the users found this feature helpful, more than 50% accepted recommendations as is and saved an average of 2% more than those who did not. Furthermore, the team is working on new features integrating ML to come up with recommendations not just for spending but to income too.