ScoreFast™
Cloud based predictive solutions platformContact Center
Most businesses have agents intermediating between their customers and their products and services. With the legacy contact center, these businesses connect those customers to agents using manually encoded rules. As business conditions and customer or agent information changes, rules get outdated and businesses cannot use the new information quickly to serve customers. This leads to degradation of service levels and poor customer experiences which in turn leads to lost revenue opportunities, operational inefficiencies and higher costs.
ScoreData’s ScoreFast™ AI/ML platform is an award-winning predictive caller-agent mapping and agent empowerment solution that uses historical data to build models and make predictions that positively impact business outcomes. We use customer and agent scoring to map consumers to the right agents and improve agent effectiveness through dynamic scripts, thus improving core Contact Center KPIs leading to better customer experiences. ScoreFast-powered applications learn continuously thus obviating the need for manual model regeneration resulting in significantly lower Total Cost of Ownership (TCO).
Financial Services
The financial industry has struggled for a long time with disparate sources of data that makes it difficult to detect patterns that would help them serve customers more effectively. This issue also hampers their ability to leverage data to drive actionable insights. Rigid rule based fraud detection requires active management which results in higher costs and significant customer dissatisfaction and possibly attrition.
ScoreData is a powerful and highly secure and scalable AI/ML platform that can Ingest diverse data sources (i.e., credit reports, account information, customer location, industry trends, etc) and enable an efficient and iterative approach for model building, validation, and decision making that leads to significantly better business outcomes. Model management and updates are completed with little to no manual intervention that leads to much lower Total Cost of Ownership (TCO) and delivers tremendous business value.
Financial Services
The financial industry has struggled for a long time with disparate sources of data that makes it difficult to detect patterns that would help them serve customers more effectively. This issue also hampers their ability to leverage data to drive actionable insights. Rigid rule based fraud detection requires active management which results in higher costs and significant customer dissatisfaction and possibly attrition.
ScoreData is a powerful and highly secure and scalable AI/ML platform that can Ingest diverse data sources (i.e., credit reports, account information, customer location, industry trends, etc) and enable an efficient and iterative approach for model building, validation, and decision making that leads to significantly better business outcomes. Model management and updates are completed with little to no manual intervention that leads to much lower Total Cost of Ownership (TCO) and delivers tremendous business value.
Insurance
There is a vast potential for exploiting this potential of data analytics and AI in the insurance industry. There are several potential uses cases in the underwriting, claims, and customer analytics domains. The insurance agencies or web applications are often the starting point for the customer experience. Enabling real-time insights at the point of policy sale or claim handling provides maximum returns for the analytics and AI investments. However, converting the raw data to real-time, actionable insights is a very challenging and time consuming process. Also, leveraging those insights for insurance business growth and profitability is often the weakest link in the chain.
ScoreFast™ enables an integrated solution for accelerating this entire process – from data to insights, from insights to action. Using ScoreFast™, insurance agents are empowered to make faster decisions. Insurance business analysts, actuaries, and data scientist can use ScoreFast™ to quickly build accurate models, and improve those models quickly as more data becomes available. ScoreFast™ enables accelerated underwriting and claims handling, leading to the overall growth and profitability of the insurance business.
Staffing
There is big disruption in the job marketplace. Unlike before, people are changing jobs much more frequently, companies are looking for more temporary/seasonal workers with specific skill-sets and people are opting for part-time consulting for variety of reasons. Hiring managers are looking for efficient platforms to help screen and optimize the process that will lead to quicker decisions. The recruiters and career advisors not only need better information about the candidates but also need to be better matched with the candidate. There is a lot of data about candidates profiles from many sources and unless it is utilized properly, the hiring process will be ineffective. AI technology can help to improve the process by intelligent candidate matching, better candidate segmentation and automating resume sorting to lead to better outcomes.
ScoreFast™ can help in improving candidate engagement using AI/Machine Learning & Natural Language Processing (NLP) techniques. Better engaged candidate are the key to success in hiring. Finding the best method of communication, understanding candidate engagement through the hiring journey, providing better matching with the recruiter or career advisor, leveraging various signals from external sources can all help in improving the hiring process.
Staffing
There is big disruption in the job marketplace. Unlike before, people are changing jobs much more frequently, companies are looking for more temporary/seasonal workers with specific skill-sets and people are opting for part-time consulting for variety of reasons. Hiring managers are looking for efficient platforms to help screen and optimize the process that will lead to quicker decisions. The recruiters and career advisors not only need better information about the candidates but also need to be better matched with the candidate. There is a lot of data about candidates profiles from many sources and unless it is utilized properly, the hiring process will be ineffective. AI technology can help to improve the process by intelligent candidate matching, better candidate segmentation and automating resume sorting to lead to better outcomes.
ScoreFast™ can help in improving candidate engagement using AI/Machine Learning & Natural Language Processing (NLP) techniques. Better engaged candidate are the key to success in hiring. Finding the best method of communication, understanding candidate engagement through the hiring journey, providing better matching with the recruiter or career advisor, leveraging various signals from external sources can all help in improving the hiring process.
HealthCare
Healthcare analytics covers a broad spectrum of the healthcare industry, offering insights for the healthcare providers, insurers, and other companies in the healthcare ecosystem. In health care industry, a vast quantity data is collected and analyzed; for example, customer data including customer behaviors and preferences, agents data, claims and cost data, patients and nursing care data, pharmaceutical data, clinical data, devices data, and distribution agencies data. Understanding the complex patterns hidden in these vast quantities of data, and accurately estimating the likelihood of a future outcome based on patterns in the historical data, required a comprehensive approach for data ingestion, model building, model management, and continuous improvements to the models.
ScoreFast™ enables an efficient approach for ingestions and modeling for a multiple streams of healthcare datasets, across the complete spectrum of the modeling process. Through ScoreFast™ enabled predictive analytics and model management, healthcare industry players can gain insights to significantly improve their business performance and growth, identify new customers and retain existing customers, and enable favourable customer experience outcomes.
Other
ScoreFast™ is a highly versatile platform that has been leveraged across a number of other verticals and use cases, such as product recommendations for retail, dynamic pricing for airlines and predicting the future ratings of primetime TV shows.
The successful outcomes include product recommendation to increase revenues and profits for one of the largest retailers in the world with over 20 billion transactions a year and 22 million customers across 5 million product SKUs. Building a dynamic pricing model for one of Asia’s largest airlines with over $6B in annual revenues taking into account competitor pricing in addition to inventory and demand, which hitherto had not been done is another example. The dynamic pricing models can be applied to many other industries such as retail, travel and transportation, entertainment, etc. Also, predicting the future ratings for TV shows four weeks in advance of a media outlet with over 650 million viewers to enable the producers of shows plan for the future episodes and also set pricing for advertisements, etc.
Other
ScoreFast™ is a highly versatile platform that has been leveraged across a number of other verticals and use cases, such as product recommendations for retail, dynamic pricing for airlines and predicting the future ratings of primetime TV shows.
The successful outcomes include product recommendation to increase revenues and profits for one of the largest retailers in the world with over 20 billion transactions a year and 22 million customers across 5 million product SKUs. Building a dynamic pricing model for one of Asia’s largest airlines with over $6B in annual revenues taking into account competitor pricing in addition to inventory and demand, which hitherto had not been done is another example. The dynamic pricing models can be applied to many other industries such as retail, travel and transportation, entertainment, etc. Also, predicting the future ratings for TV shows four weeks in advance of a media outlet with over 650 million viewers to enable the producers of shows plan for the future episodes and also set pricing for advertisements, etc.