50% of small businesses fail within their first five years. But our QuickBooks ecosystem continuously evolves to lower those odds. See examples of how our teams are using emerging technologies like machine learning, natural language processing, and conversational UI to help small businesses and the self-employed achieve their dreams of prosperity.
ExpenseFinder is a feature that automatically pulls a year's worth of bank transactions and automatically finds deductible business expenses through our machine learning algorithm. On average, users find $4,300 average in business expenses.
QuickBooks Assistant is a chatbot that combines data-driven insights and natural language processing to ease business operations by merely asking questions or stating requests, using a smartphone. The service understands intent and identifies context to uncover numerous financial data points – from tax obligations to expense tracking, cash flow, profitability and more.
We created a natural language processing system to analyze the sentiment in a customer’s speech and text, identifying different emotions and then flagging those emotions to a customer care agent so that the care agent can respond to the customer appropriate to the customer’s emotional state.
The tax refund check is the biggest boost millions of Americans get to their income for the entire year. Our customers depend on tax refunds to pay their rent, tuition or medical bills and better understand their needs. When customer empathy drives innovation, the result is technology like live video advice from a tax expert. And taxes become simpler for even the most inexperienced taxpayer.
We receive about 30M returns every year, each containing a very rich set of data points about demographic, economic and social trends that characterize our customers’ financial lives. By leveraging machine learning and combining it with the representation of the entire Tax Code, we are helping to reduce the time it takes to file taxes and increase a user’s confidence in accurately filing their taxes.
To connect customers to the right agent to meet their needs, we're using a data-driven pipeline to map the customer profile and question to an appropriate customer care agent. Using a machine learning algorithm trained with historical interactions between customers and agents, we've increased expert and customer sentiment, as well as material cost savings and efficiency improvements.
Using a shallow neural network with optical character recognition and image processing, we are able to perform automatic information extraction from document images, eliminating manual data entry and security issues in repetitive, manual data handling. This technology allows you to snap a photo of your W-2 or tax forms, and extract individual data field and upload the data automatically to TurboTax.
With more than 10 million active users, Mint is America’s most popular personal finance app. Our Mint team has transformed personal finance for millions with a beautiful, lifestyle-inspired UI that let’s our customers effortlessly manage their finances all in one place. Powered by technology, Mint brings together everything from balances and bills to credit scores and more, giving customers the insights they need to take control of their finances.
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