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Industry: Decisioning

AI-Powered Decisioning is Crucial to Maximize Customer Lifetime Value

NEWS

AI-Powered Decisioning
is Crucial to Maximize Customer Lifetime Value

Discussions of risk decisioning platforms often focus on onboarding and loan origination. However, the investment in the start of the customer journey is only one piece of the puzzle; an organization’s growth depends not only on attracting new customers, but also on retaining and maximizing the value of its existing customers.

In this Fintech Futures article, Kathy Stares, EVP of North America for Provenir, outlines why it’s important to focus on the tools needed to support the myriad other decisions across the life of each customer to enable a superior customer experience and maximize customer lifetime value.

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Risk Decisioning Platforms in Indonesia

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Embracing the Future:
The Rise of Innovative Risk Decisioning Platforms in Indonesia

A New Era of Credit Risk Management Unfolds

As we navigate our way into the future, it becomes evident that a significant transformation is underway in the financial realm. Projections indicate that global fintech revenue will experience a sixfold increase between 2021 and 2030, reaching an impressive US$1.5 trillion annually. Notably, the Asia-Pacific region will play a dominant role in this growth, constituting 40% of the global fintech revenue, equivalent to a substantial US$600 billion per year, as reported by Boston Consulting Group (BCG) and QED Investors.

As part of this transformation, Indonesia stands at the cusp of a financial revolution. Innovative risk decisioning platforms are reshaping the lending landscape, offering detailed insights to lenders and empowering borrowers in unprecedented ways.

These platforms harness the power of data as well as machine learning and artificial intelligence, tapping into a plethora of alternative data sources, ranging from social media activities to mobile phone usage patterns1. This approach provides a more holistic assessment of an individual’s creditworthiness, transcending beyond traditional data points.

Why does this matter? Understanding creditworthiness is pivotal to lending. It enables lenders to mitigate risk, customize loan offerings, and identify potential defaults at an early stage. Remarkably, research indicates that the utilization of alternative data can curb default rates by up to 45%.

Moreover, these platforms are democratizing access to credit. By considering alternative data and incorporating automated, AI-powered decisioning, they are enabling lenders to evaluate the creditworthiness of individuals lacking a formal credit history. This is particularly significant in Indonesia where approximately 30% of adults are financially excluded due to the absence of a credit history.

So, what fuels this trend? A combination of several key factors.

  • Firstly, Indonesia’s fintech industry is experiencing rapid growth. Technological advancements have led to the emergence of new platforms and innovative methods of delivering financial services.
  • Secondly, Indonesian banks and multi-finance companies are making substantial investments in Peer-to-Peer (P2P) lending platforms. These platforms offer new channels for loan distribution and widen the access to credit.
  • Additionally, the Indonesian government is playing a crucial role in this transformation. They have established a robust fintech ecosystem with stringent regulations and advanced infrastructure technology to facilitate SME financing.

However, as with any revolution, there are challenges to overcome. Ensuring data privacy and security is paramount, necessitating a delicate balance between leveraging rich data sources and respecting individuals’ privacy rights. As of July 2023, there is no specific data protection authority overseeing data protection in Indonesia. “However, the PDP law puts forward the role of the Government of Indonesia in actualizing the implementation of personal data protection. The PDP Law calls for the creation of a Personal Data Protection Commission (Komisi Perlindungan Data Pribadi) as the body responsible for implementing the PDP Law.

The rise of innovative risk decisioning platforms in Indonesia signifies a paradigm shift. These platforms are revolutionizing how lenders assess creditworthiness, fostering financial inclusion, and propelling the country’s fintech industry forward. The future of lending in Indonesia is indeed promising… will you be at the heart of this exciting transformation?

The Provenir team will be attending the World Financial Innovation Series (WFIS) event in Indonesia as a Silver Sponsor! Meet us at the event, where we’ll showcase cutting-edge solutions to empower your financial journey. Book a meeting here.

Meet us at the World Financial Innovation Series event.

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Industry Leaders Prefer Provenir

DATA SHEET

Industry Leaders Prefer Provenir

In the dynamic landscape of financial services, strategy-driven decisioning across identity, fraud, and credit is a pivotal driver in shaping a business’s future success. Join the financial service leaders who are meeting strategic goals, managing risk, and maximizing customer value with Provenir. Discover the holistic decisioning difference in the datasheet.

See why industry leaders are switching to Provenir

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Provenir is an award-winning decisioning platform that gets you results.

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Autochek Africa selects Provenir’s Risk Decisioning Platform to Accelerate Expansion

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Autochek Africa selects Provenir’s Risk Decisioning Platform to Accelerate Expansion

Provenir’s flexible platform allows Autochek to quickly expand into new geographies, reducing launch time by half.

London, UK, Sept. 12, 2023 – Provenir, a global leader in AI-powered risk decisioning software, today announces Autochek Africa, an automotive technology company, has selected Provenir’s Decisioning Platform to automate decisioning and accelerate its expansion efforts.

Autochek Africa provides solutions that enable commerce within the automotive sector including credit underwriting solutions for auto loans, for Autochek and third-party banks. Autochek also provides vehicle inspection, maintenance, insurance and vehicle tracking solutions. The company was seeking a robust platform with rapid deployment capabilities to automate all of their credit decisioning processes to support its strategic expansion into specific regions.

“To support our aggressive expansion strategy, we needed a partner with an agile and flexible platform and the ability to deliver within very short timelines,” said Johan van der Merwe, Chief Executive Officer, Autochek. “We have partnered with Provenir to automate decisioning for faster and more scalable approval processes. Within eight months, we were able to provide clients and dealers with pre-approvals, instalment simulations and loan application decisions, together with bespoke offers, in six countries. Provenir’s low-code platform provides us a competitive advantage, allowing us to quickly expand into our target geographies, reducing our launch time in many cases by almost half.”

“We are pleased to partner with Autochek Africa to help them quickly scale their operations and enter new markets,” said Adrian Pillay, Vice President, MEA at Provenir. “Provenir’s flexible platform provides Autochek with the self-sufficiency needed when launching new products to market, so they can scale faster than ever before.”

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Banking on Cloud and Digitalisation

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Banking on Cloud and Digitalisation

In the race to transform the banking industry, much has been said about how the industry is adopting digitalization in its approach. One essential digitalisation process that the banking sector, along with several other segments in the financial industry, uses is cloud migration technology.

The Star recently tapped industry experts, including Bharath Vellore, general manager, APAC for Provenir, to delve into the benefits of the cloud and how other technology such as mobile apps, AI, machine learning, big data, biometrics and chatbots are changing the customer experience.

This article was originally published on The Star, Keith Hiew, Author

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Automotive Financing Provider GoFi Selects Provenir’s Data and Decisioning Platform

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Automotive Financing Provider GoFi
Selects Provenir’s Data and Decisioning Platform

GoFi will benefit from Provenir’s powerful platform to support immediate responsiveness and the best customer experience

Parsippany, NJ —August 2, 2023 — Provenir, a global leader in risk decisioning software, announced today that GoFi, LLC, a leading U.S. consumer automotive financing provider, has selected and implemented Provenir’s Data and Decisioning Platform to assess applicant credit risk quickly for real-time financing approvals.

GoFi, LLC is an AI-centric, digital-first lending platform. Built on a proprietary loan origination system and powered by its integrated machine learning algorithms, GoFi provides auto-decisioned responses across the full credit spectrum. Through simple, intuitive offers, GoFi aims to help partners expand their brand impact and deliver a better customer experience.

“We selected Provenir for several reasons, most importantly, for the platform’s flexibility and customization options. It also allows us to quickly and easily integrate with many different platforms which will allow our business users to take the reins,” said Daniel Garland, Senior Director, GoFi. “We have been able to implement a fully customizable solution that meets our business needs with the vast majority of the implementation being done by our business users.”

“We are pleased to partner with GoFi to power the real-time risk decisioning needed to provide the very best customer experience,” said Kathy Stares, Executive Vice President, North America for Provenir. “From global car manufacturers to independent auto lenders, Provenir empowers auto financing providers of all sizes to make accurate decisions faster while minimizing risk and preventing fraud. Provenir’s data and decisioning capabilities enable our auto financing clients to respond on-the-fly to changing market dynamics and deliver real-time insights to inform smarter decisions.”

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Infographic: Transform Credit Risk Decisioning Challenges into Opportunities

INFOGRAPHIC

Transform Credit Risk Decisioning
Challenges into Opportunities

How to Ensure More Accurate, Agile Decisions

Whatever the financial services products you offer, there are common credit risk decisioning challenges – including data integration, model development, fraud prevention, lack of flexibility, and regulatory compliance. So how can you turn these decisioning challenges into opportunities? Discover how upgrading legacy decisioning technology can lead to a 20-40% decrease in credit losses and a 20-40% improvement in efficiency!

See how tbi bank is able to fuel their rapid growth and still ensure a customer-centric strategy

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Reality Check: Dispelling Three Key Myths to Upgrading Credit Risk Decisioning Technology

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Reality Check:
Dispelling Three Key Myths to Upgrading Credit Risk Decisioning Technology

Consumers are resistant to friction in their customer experience journeys, whether they are buying appliances, vacations, vehicles, or applying for credit. Next-gen data and decisioning technology is crucial for financial institutions to focus on growth while meeting consumer needs and expectations, and effectively managing risk. 

Unfortunately, there are a number of myths that persist in this area, eroding financial institutions’ ability to compete and thrive – and keeping consumers from the frictionless, rich and relevant experiences they deserve.  

In this Fintec Buzz exclusive, Kathy Stares, Executive Vice President of North America for Provenir, details these myths and offers practical steps to run a smarter race.

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How to Power Risk Decisions Faster than the Competition

ON-DEMAND WEBINAR

How to Power Risk Decisions
Faster than the Competition

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In the race for customers, speed is everything – and your consumers demand it. But how can you deliver risk decisions and new banking products faster than the increasingly agile competition?

For financial services companies, data has never been more important, and real-time data access, automated decisioning and advanced analytics are key to remaining agile, innovative and responsive to industry trends.

In this webinar, hosted by FinTech Futures, our expert panel – featuring tbi bank’s Chief Credit Officer, Allica Bank’s Chief Product & Strategy Officer and Premier Bankcard’s Senior Vice President, Risk Services – discuss how you can overcome the challenges of upgrading legacy decisioning technology and evolving data security and compliance regulations to ensure you can adapt quickly to shifting consumer demands and stay ahead of the competition.

Watch now to learn:

  • How to mitigate risk, grow your revenue and improve the banking experience for your customers.
  • Why real-time data access and eliminating siloed data environments is critical for not only smarter risk decisions and improved fraud prevention, but also to provide a more holistic, inclusive view of your customers.
  • How advanced analytics like machine learning and AI can enable optimised decisioning across the entire customer lifecycle.
  • The ways upgrading your legacy decisioning technology can accelerate your journey to more modern risk decisioning.
  • How to choose technology partners that enable you to satisfy rapidly evolving compliance and security requirements.

Speakers:

  • Corinne Lleti

    Director General, Southern Europe, Provenir

  • Chris Thornton

    Senior Vice Presidnet, Risk Services, PREMIER Bankcard

  • Conrad Ford

    Chief Product and Strategy Officer, Allica Bank

  • Costin Mincovici

    Chief Credit Officer, tbi Bank


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5 Ways Credit Risk Analytics Can Help Your Business Make Better Decisions

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5 Ways Credit Risk Analytics
Can Help Your Business Make Better Decisions

In today’s rapidly changing business environment, companies need to make informed decisions to stay competitive. One way to achieve this is by leveraging credit risk analytics. By analyzing data related to credit risk, businesses can gain valuable insights into their customers’ financial behavior and make better decisions based on that data. In this blog post, we’ll explore five ways credit risk analytics can help your business make better decisions.

Better Understand Your Customers

  • Credit risk analytics can help you better understand your customers’ creditworthiness, payment history, and overall financial behavior.
  • This information can help you make more informed decisions when it comes to extending credit or setting credit limits.
  • Use credit risk analytics to segment your customers based on their credit risk profile, allowing you to tailor your offerings and pricing to meet their specific needs.

Mitigate Risk

  • Credit risk analytics can help you identify potential risks before they become major issues.
  • By analyzing data related to credit risk, you can identify customers who are more likely to default on payments or who have a history of late payments, helping you mitigate risk and avoid potential losses.
  • Use credit risk analytics to monitor your customer portfolios and identify trends or patterns that could indicate future risks across the entire customer lifecycle.

Optimize Pricing

  • By analyzing credit risk data, you can optimize your pricing strategies.
  • Identify customers who are more likely to default on payments and adjust your pricing accordingly to mitigate the risk.
  • Use credit risk analytics to determine the optimal pricing and loan terms for each customer segment, based on their unique credit risk profile.

Improve Collections

  • Credit risk analytics can help you improve your collections process – reducing collection costs and improving your cash flow.
  • By analyzing data related to credit risk, you can identify customers who are at risk of defaulting on payments and take proactive measures to collect payments before they become overdue.

Enhance Customer Experience

  • Credit risk analytics can help you enhance the overall customer experience.
  • With a better understanding of your customers’ financial behavior, you can tailor your products and services to meet their specific needs and preferences.
  • Use credit risk analytics to identify customers who are most likely to be interested in a particular product or service, and target your marketing efforts accordingly.
  • You can also personalize your customer interactions and offer customized solutions based on each customer’s unique credit risk profile.

By leveraging credit risk analytics, you can gain valuable insights into your customers’ financial behavior and make more informed decisions. Whether it’s optimizing pricing, mitigating risk, or improving collections, credit risk analytics can help you achieve your growth goals and stay competitive in today’s dynamic business environment. With the right credit risk analytics tools and strategies in place, your business can stay ahead of the curve and make the best decisions possible.

Discover how a data-driven, AI-powered approach to credit risk means smarter, more accurate decisions

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