Industry BFSI

Charting an AI revolution in the BFSI landscape

The BFSI industry is on the verge of a transformational breakthrough with the adoption of AI and ML technologies. These game-changing tools have the power to revolutionize risk management, make operations highly efficient, create new products and services for micro segments, and ensure top-notch customer service. As these technologies continue to evolve, BFSI institutions can unlock new frontiers of efficiency, profitability, and customer-centricity like never before. The possibilities are limitless, and those who embrace these technologies will shape the landscape of tomorrow, setting new industry standards and delivering unparalleled value to customers.

Igniting innovation with pre-built ML solutions

Daitrix’s ML-powered solutions empower BFSI companies to stay ahead in a highly competitive landscape by driving revenue growth, reducing costs and risks, and improving operational efficiency.

Boost revenue growth by reimagining customer acquisition to target, segment, and expand prospect base, as well as matching products or services through the most effective channels.

Cut costs and reduce loss ratio by pricing policy accurately for known risks while reducing expense ratio through automation and processing low-risk policies with no underwriter involvement.

Mitigate risk by identifying high-risk customers, predict churn time frame, and recommend retention strategies looking at historical data to reduce churn, lift revenue and recommend new product/service mix.

Improve operational efficiency with advanced credit risk scoring powered by social signals, enabling faster approvals, smarter risk management, and incremental credit line increases, fostering growth without compromising safety.

BFSI Industry Solutions

Profitability sensitivity CLI engine

Make accurate evaluation on the impact of Credit Line Increase (CLI) decisions on profitability, risk, and customer behavior. Optimize credit line increases to enable lenders make informed decisions and boost profitability.

CLD identification early risk intervention

Identify deteriorating credit conditions early on to mitigate risks, allowing lenders to take timely actions to minimize losses and maintain healthy portfolio performance.

Customer risk assessment

Analyzing data and patterns to identify at-risk customers early, allowing for proactive interventions and improved outcomes, fostering long-term customer relationships, and minimizing potential losses.

Overlimit and delinquent authorizations

Analyze customer behavior, payment history, and credit utilization to identify and manage potential risks. Mitigate over limit situations and effectively address delinquency, ensuring better risk management.

First-party bust-out detection

Analyze customer data, transaction patterns, and behavioral anomalies to identify potential risks early on, enabling lenders to minimize losses, protect portfolios, and maintain a secure and trustworthy environment for customers.

Portfolio risk reporting and monitoring

Harness real-time insights into portfolio performance, risk exposure, and emerging trends to proactively identify and address potential risks, ensuring a robust and resilient portfolio management approach.

Fraudulent authorizations decision (point of compromise)

Enhance fraud detection capabilities, protect customers, and safeguard businesses by analyzing transaction data, customer behavior, and historical patterns in real-time.

Preferred and risk-based pricing

Analyze customer data, creditworthiness, and risk profiles to determine personalized pricing structures, enabling lenders to optimize profitability while ensuring fair and customized offerings for each customer.

Spend passion and customized recommendation

Understand customers' spend passions by analyzing customer spending patterns, preferences, and historical data to deliver tailored offers, customer engagement, loyalty, and long-term value.

Reward program optimization

Derive valuable insights from customer preferences, spending habits, and redemption patterns to tailor and optimize reward programs, increase customer engagement, and boost customer loyalty.

Advanced credit decisioning

Fast, accurate, and alternate credit decisioning using Daitrix’s ML-based solution on AWS. Infuse ML into core business processes such as credit scoring to enable BFSI organizations to enhance their accuracy and efficiency in assessing creditworthiness.

Agentic AI for banking operations

Banks and financial institutions can leverage AI to optimize customer service, track transaction status, and identify operational bottlenecks. An NLP interface can query multiple back-end systems to enhance operational efficiency, improve transaction processing times, and boost staff productivity.

Agentic AI-powered employee engagement and assistance

AI-powered tools streamline onboarding, training, and benefits optimization, ensuring happier and more engaged employees, while reducing turnover and improving workforce efficiency.

Collector capacity risk deteriorating

Unravel meaningful insights from collector performance, workload, and customer behavior to identify potential risks, enhance collection efforts, minimize delinquencies, and improve overall portfolio performance.

Collector efficiency enhancement

Unlock actionable insights from collector performance, workload, and customer data to optimize workflows and prioritize tasks, maximize productivity, improve efficiency, and achieve better collection outcomes.

Optimized contact strategy and skip tracing

Analyze customer data, communication preferences, and behavior to develop personalized contact strategies, leverage skip tracing techniques, improve contact rates, reduce delinquencies, and enhance collections effectiveness.

Tailored hardship programs and payment assist

Leverage customer financial data, circumstances, and payment history to create personalized programs to support customers in times of financial difficulty, enhance repayment capabilities, and foster positive customer relationships.

Automatic call summarization

LLM-GenAI-powered automatic call summarization achieve call summaries for all calls, saving 50% call wrap-up time on average to increase productivity and ensure consistent documentation for efficient resolutions.

Working capital payment term optimization

Real-time sentiment analysis

Analyze call interactions' sentiment to gauge customer satisfaction levels, enabling real-time corrective actions for improved overall satisfaction.

100% Call scoring

Score all calls consistently, identify areas of improvement, and promote best practices to enhance customer experience, agent performance, and new agent onboarding.

Agent insights

Assess agent performance using insights on first-call resolution rate, politeness, call hygiene, and agent comparisons, while informing corrective actions as needed.

Call reason

Prepare agents to identify precise reasons for customer calls. Capture accurate, multi-tiered call-reasons without any human bias. Acquire a better understanding of the motives behind customer calls.

Call center workforce optimization

Optimize staffing with multilingual agents, predict language needs for incoming calls, and route calls to skilled representatives efficiently.

Customer segmentation

Utilize multi-dimensional customer segmentation to enhance conversion rates while employing look-alike modeling to categorize new customers effectively.

New customer acquisition

Data-led customer lifecycle driving lifetime value by optimizing loyalty programs and improving customer experience. Anticipate and reduce churn with predictive analytics.

Upsell and cross-sell

Improve customer upsell and cross-sell conversion rates using relevant and timely insights, including key drivers to boost sales and revenue growth and improve customer experience.

Churn mitigation

Anticipate and reduce churn with predictive analytics. Identify high-risk customers and key drivers, predict churn time frame to come up with retention strategies looking at historical data to reduce churn, lift revenue and recommend new product/service mix.

Customer lifetime value prediction

Make better decisions by understanding the potential lifetime value and looking at new products or services, including segmenting clients and investing disproportionately to promote stickiness and loyalty based on the lifetime value.

Customer loyalty maximization

Expand and amplify loyalty program impact by leveraging AI/ML-generated insights. Develop and implement timely, relevant offers and rewards based on customer segments to encourage participation and engagement.

Comprehensive campaign optimization

Streamline marketing initiatives and budget allocation to maximize conversions through propensity modeling, channel selection, multi-campaign optimization, and campaign parameter fine-tuning.

LLM-GenAI capabilities

Leverage LLM-GenAI solutions to enhance operational efficiency, streamline workflows, and improve self-service for customers and employees. Benefit from LLM-powered expert systems, workflow automation, and NLP-based information retrieval, all while ensuring robust data privacy and security.

Spend analytics

Uncover negotiating leverage, provide actionable recommendations for savings, and de-risk the supply chain with ML-powered spend analytics.

Working capital payment term optimization

Strengthen working capital with payment term optimization, optimizing payment terms, maximizing cash, avoiding penalties, and negotiating favorable discounts to enhance liquidity.

Contract analytics

Identify risks and improve decisions by reading, analyzing, and comparing commercial contracts using AI to deliver business-critical insights.

Banking on AI for a future-ready financial era

BFSI

Charting an AI revolution in the BFSI landscape

Igniting innovation with pre-built ML solutions

BFSI Industry Solutions

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