Based on the shopper data collected through video, continuous improvement points are derived and supplemented, and growth hacking, which has been very effective in online marketing, can be applied to offline stores to achieve innovative sales results.
By automatically counting the amount of floating population in subway stations where outdoor advertisements are installed, you can check the effectiveness of advertisements in the location and how long the average floating population stops as objective indicators.
By automatically counting road traffic such as intersections where the billboards can be placed, you can check the amount of exposure the billboard has at the location and what the average vehicle idling time is as an objective indicator.
DS2.ai's choreography analysis service can provide a video-based choreography coaching service that measures and improves accuracy by comparing/analyzing the reference choreography video and your own choreography video.
You can digitize the posture of training videos and maximize performance by conducting systematic and scientific sports training based on numerical data.
If there is only a reference rehabilitation exercise video, continuous comparative analysis can be performed by uploading the rehabilitation exercise video of the patient. Individual and group videos can be used as long as the movements are recognized as rehabilitation exercises.
The credit score prediction model reduces exposure to credit risk and loss by identifying applicants who are at high risk of default and have no credit value but do not have an extensive credit history in case they can cause events (e.g., bankruptcy, default, etc)
Risk management is an important part of financial company management. Risk managers can prevent bank losses in advance by determining whether to repay a customer's loan using the customer's income status, credit history, payment level, external credit evaluation data and other indicators without spending time managing risk. You can save time and money in determining whether a financial service company will approve a loan, and manage risk by quickly predicting a customer's repayment capabilities.
By recommending products to customers, you can prevent customers from churning while doing customized marketing to customers who do not know what products they need. Personalized services are available by introducing products such as credit cards, savings accounts, and deposits that are suitable for customers based on data such as customer's personal information, consumption patterns, and financial performance. Through this, we provide differentiated counseling services. By providing personalized services, you can increase consumer confidence and increase corporate value.
Customer retention is more important than acquiring new customers. If you can prevent churn by predicting which of your existing customers are likely to churn, the benefit can be greater than acquiring new customers. You can analyze customer attributes, behavior, engagement, and external factors to help predict and prevent churn. Customer churn prevention can optimize corporate profitability. By predicting customer churn, financial services companies can increase customer satisfaction as well as increase customer lifetime value.
You can detect suspicious transaction behavior in the market that indicates illegal behavior through transaction patterns using big data of trade and foreign exchange transactions of import and export companies. If fraud is suspected, such as deceiving false trade bonds as legitimate transactions, you can predict the transaction to reject the transaction entirely, or report the transaction for investigation and assess the likelihood of fraud. Fraud predictions can lower false positives. Reducing false positives leads to increased customer satisfaction, sales protection, and cost savings.
Financial crimes are on the rise due to the increase in the volume of financial transactions as financial companies adopt technologies such as fintech and blockchain. Currently, money laundering poses a serious threat to the financial services sector. To prevent money laundering, illegal money laundering can be detected and prevented to identify suspicious transactions and irregular transaction networks. Artificial Intelligence(AI) can detect suspicious transactions and build fraud and money laundering models efficiently, as well as improve employee and business productivity.
With AutoML + Consulting, you can request a professional consultant of DS2.ai to develop artificial intelligence.