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.
SaaS to build scalable solutions
A deep empathy for customer needs and the ability to apply innovation to solve real-world problems are mission-critical requirements for a successful technology platform with millions of users. That’s why Namita takes the time to listen to our customers and brings back her insights to the code.
When it comes to her technology stack, Namita believes that the challenge is seeing what others don’t. She and her team used tools like Modern SaaS, Kubernetes and Graph QL to build scalable solutions in QuickBooks Advanced and collaborated with 80 teams to integrate 28 systems to help power prosperity for millions.
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.
React JS to mitigate pandemic’s impact
Lona’s team was part of an Intuit wide initiative that helped in pulling data of millions of customers across QuickBooks and TurboTax, to enable customers to mitigate the pandemic related impact to employee’s pay checks. which helped small businesses keep their workforce employed.
In just 3 weeks, she and her team harnessed the power of C#, React JS and collaborated with product engineering, sales and customer care teams across the company to develop, launch and onboard customers to the US Government’s paycheck protection program seamlessly, thus demonstrating how customer obsession and empathy can deliver maximum customer benefit.
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