Knowing your customer is critical to driving business account growth, identifying theft, and supporting compliance. Identify customers as they enter the bank and take a more proactive approach to preventing fraudulent activity. Computer vision also allows you to analyze customer behaviors and sentiment and identify targeted service and selling opportunities.
With face recognition and NLP validate identity through government documents like passports, driver's licenses, and proof of address to mitigate fraudulent account creation.
Use Computer Vision to gain insights into customer demographics to roll out targeted marketing, adjust product mix, and drive member engagement programs. Proactively identify customers entering the branch for up-selling and cross-selling opportunities. Identify VIP and high potential customers to provide personalized service.
Use face recognition to authenticate identities of account owners and new customers. Receive real-time alerts when people of interest conduct fraudulent transactions.
Use Computer Vision to notify branch managers with real-time alerts when more tellers are needed. Use sentiment analysis to improve teller processes and identify training opportunities for better service.
Leverage text documents faster to support your banking onboarding process and business transactions. Use real-time data to understand your bank demographics to support marketing, product mix, and elevate member engagement.
Use labeled data from transactions or loan applications to set a baseline of data points. Detect deviations in credit, withdrawal, or charge patterns in real time to notify employees to determine fraudulent behavior.
Search and match customer accounts against regulatory watch lists, sanctions lists, and adverse media reporting on the web. Mitigate risk and fraud for both PEPs and REPs.
Determine the intent behind a customer's question in real time to improve service. Respond with product recommendations and financial guidance in 52 languages based on bank locations.
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