transforming collections with...transforming collections with ai, ml & big data who we are we...
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Who We AreWe are the Google Analytics of Collections. Google Analytics is able to identify consumer behavior, consumer preferred channels and sources as well as how a consumer interacts with your brand. For example, when a consumer interacts with a website, it is able to distinguish if the prospective consumer is ready to buy the product and how to best to influence him (ie offer, pricing, discount etc.) to buy now and buy from the specific website visited. Google Analytics uses sophisticated artificial intelligence (AI) running on top of mountains of data, typically known as “Big Data,” to discern the important information and make accurate recommendations.
Dasceq uses the same methods and tools to understand the behavior of a delinquent account, to determine the best communication channel (i.e. email, text, phone, etc.), to recommend the best time to reach the consumer or the time when he is most likely to pay and to provide the best messaging and payment option that will provide the highest success for each collection experience. Similar to Google, Dasceq leverages multiple AI/ML techniques such as predictive behavior Models, Attribution Models, Multivariate Models, Deep Learning, Random Forest, Survival Models, Consumer Personas, and Voice NLP Algorithms to determine who will pay, when they will pay, the amount they are most likely to pay, and how to influence them to pay.
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The ChallengeConsumer debt is increasing and the collection industry is growing rapidly but the technology and processes used in the collection industry haven’t kept pace. In the last 10 years, significant improvement has been made in consumer behavior identification, marketing, technology, and data science. However, collection methods have remained largely the same over this same time frame leaving many collections shops struggling. Their processes are inefficient due to the absence of technology or limited use of available technology. Additionally, very few utilize modern analytics to drive collections.
Further, these dated, manual methods are compromising the customer experience. At best, it drives loyal customers away and hurts a company’s brand. At worst, these traditional methods have created lawsuits and regulatory challenges for a company.
According to the Consumer Financial Protection Board (CFPB), one in three people with a credit record have been contacted by a creditor or collector. With limited insights into data, these calls are often random and ineffective leading to annoyed customers, delayed collections, and increased charge-offs.
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Our SolutionTo empower collection teams, Dasceq has built AI/ML models that can leverage data from traditional and digital sources. Our 2iTM models identify deep consumer patterns to provide best recommendations and understand their persona and be able to maximize influence across channels. Dasceq’s 2iTM models incorporate both credit data and other publicly available data to identify and predict whom, when, and where to contact for collections coupled with what to say.
Web interactionEmail, chats
Mobile interactionCalls, SMS
Credit dataLoan, payment, delinquency
Public dataSocial, 3rd party, bank
Big dataMultivariate data models
Data patternsConsumer behavior identification
RecommendationArtificial & intuitive intelligence
LearningContinuous optimization
Recommendation
strategySloppy payer, CO, settler
InfluenceVoice, text, email
PersonalizeCall and message
AI interactionChatbot, AI call
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Key Business BenefitsDasceq is bringing innovation to collections with its 2iTM SaaS platform. AI/ML models combined with unique deep derived variables, created by Dasceq through years of research and collection industry business experience, enable to identify the right consumer behaviors and provide recommendations to make the collection process effective and efficient with enhanced consumer experience.
IMPROVE PRODUCTIVITY
REDUCE WORKLOAD OPTIMIZE TIME TO COLLECT
ENHANCE DATA ACCESS
MANAGE COMPLIANCE
IMPROVE AMOUNT COLLECTED
REDUCE RISK OF NON-PAYMENT
IMPROVE CONTACT RATES
PERSONALIZE CUSTOMER EXPERIENCE
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IMPROVE PRODUCTIVITYWith AI/ML and Big Data driven actionable insights, Dasceq’s 2iTM SaaS platform
improves the productivity of a collection team by more than 30%.
REDUCE WORKLOAD OPTIMIZE TIME TO COLLECT
ENHANCE DATA ACCESS MANAGE COMPLIANCE
Typically, in the subprime industry, 15-20% of a portfolio can
be identified as late payer. Dasceq’s predictive algorithms can identify
these delinquent accounts, reducing workload significantly.
The platform centralizes the collection processes and unifies
all data sources to provide a single customer view, enabling easier data
access and customer profiling.
Identify accounts that need for bearance or other risk mitigation. By putting these accounts in a separate
contact list, time to collect is optimized which further reduces the
risk of non-payment.
Dasceq helps collections team adhere to the regulatory framework,
removing the hassle in managing compliance, and ensuring that an established process is followed.
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IMPROVE AMOUNT COLLECTED2iTM platform identifies the right consumer behaviors and provides appropriate
recommendations such as delinquent account requiring forbearance, settlement, etc., improving the amount collected.
PERSONALIZE CUSTOMER EXPERIENCE
With Dasceq, the collection team can personalize their interaction with
every customer based on actionable data. Customers are treated fairly
through established processes while ensuring full support.
REDUCE RISK OF NON-PAYMENT IMPROVE CONTACT RATES
AI-powered predictions help identify the risk involved with the accounts.
2iTM platform recommends actions to mitigate the same, reducing the risk
of non-payment.
With multi-channel interaction strategy enabled by the platform, more efforts are made in the right
direction at the right time and place, through right channel (phone, email,
text, web).
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Feature Assistant Analyst Pro
Easy Connect to core systems with text & email integration
Consumer 360: Client loan data
Consumer 360: Client loan data
2i Recommendation: sloppy payer or settler, who will pay, forbearance/deferment
Max Influencer: channel and frequency optimizer
AI Optimizer: multivariate testing, continuous learning, and learning from industry trends
Driverless Collection with KPIs, agent forecast and schedule
Personalization
Product Plan ComparisonEnable AI-powered, next-gen collection practices with our three product plans:
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Why Implement Dasceq
We work closely with you to understand the
nuances specific to your organization and the
challenges that you face.
Once you’re convincedwith the ROI, we test
recommendations on a portion of the portfolio,
and then, we implement on the complete portfolio.
We do a POC discovery test based on the historical data supplied by you to reduce risk and identify benefits within 4 weeks.
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Our 2iTM model shows continual improvement in its recommendations with more data. Further, we optimize the benefits for you through timely reviews post implementation.
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Clients
Our Team’s Accomplishments
Big Data, AI, ML solutions built
Value created
Mobiloans ServicingSolutions LoanMe
150+ $10Bil+
Case StudyWith analytics team at capacity, the client’s collection team was struggling with high turno-ver and subpar productivity leading to declining amount of collections. Implementing just the first phase of Dasceq’s 2iTM platform resulted in an 8% increase in collections amount while also being able to reduce the total number of agents by 15%.
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Phone
US Location
India Location
+1 952-356-2858
1471 Greenway Drive, Suite 800,Irving TX 75038
2nd Main Road, 305/66, 40th Cross Rd, 8th Block, Jayanagar, Bengaluru, 560070.
ARE YOU READY TO
TRANSFORM YOUR COLLECTIONS?
Talk to an Expert
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