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Industry: SME Lending

Lending process for SMEs seen faster with AI

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Lending process
for SMEs seen faster with AI

According to the World Bank, access to capital is the second most cited obstacle faced by SMEs in growing their businesses in emerging markets and developing countries. In this exclusive interview with BusinessWorld, Bharath Vellore, General Manager, APAC for Provenir, discusses how access to alternative data and AI can help shorten loan application processes for SMEs to less than 24 hours from 10 or more weeks under traditional lending institutions.

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SME Lending in MENA: Leveraging Data + AI for Smarter Decisions

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SME Lending in MENA:
Leveraging Data + AI for Smarter Decisions

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How to Power Rapid Approvals and Improve your SME Lending Strategy

SMEs contribute a significant amount to the economy in MENA, averaging between 10-40% of all employment in the region and comprising 80-90% of total businesses in most countries. They represent $7 billion USD in potential profit for banks, with over $100 billion USD in financing needs – but they still struggle to access the credit they require (EY – Redefining SME Banking Report). Waiting weeks or even months for credit approval and funding can mean the difference between innovation and business closure.

Traditional financial services organizations may find lending to SMEs difficult, but fintechs, challenger banks, and digital banks are rising to the challenge. Simplified application processes, rapid approvals, and improved accessibility to funds makes working with digital lenders an obviously attractive choice.

Because if you aren’t making it easy for SMEs to get the credit they need, your competitors will.

Watch now for this insightful panel discussion, where we’ll be talking with industry experts on ways to leverage data and artificial intelligence to ensure accessibility to credit for SMEs.

Discover how to:

  • Power faster, simplified application processes
  • Make smarter, faster decisions and get to market faster
  • Future-proof your decision technology to keep up as market trends/demands evolve
  • Use advanced, predictive analytics like AI to keep risk in check
  • Leverage real-time, historical and alternative data to ensure a more holistic view of creditworthiness


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SME Lending in Africa – Leveraging Data + AI for Smarter Decisions

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SME Lending in Africa –
Leveraging Data + AI for Smarter Decisions

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How to Power Rapid Approvals and Improve your SME Lending Strategy

In Africa, SMEs provide approximately 80% of jobs, representing a critical driver for the economy in the region. But 51% of these businesses require more funding than they have access to, and 28% of SMEs in the region are fully credit constrained (source). Waiting months or even weeks for credit approval and funding can mean the difference between innovation and business closure.

Traditional financial services organizations may find lending to SMEs difficult, but fintechs, challenger banks, and digital banks are rising to the challenge. Simplified application processes, rapid approvals, and improved accessibility to funds makes working with digital lenders an obviously attractive choice.

Because if you aren’t making it easy for SMEs to get the credit they need, your competitors will.

Watch now for a live panel discussion, where we speak with industry experts on ways to leverage data and artificial intelligence to ensure accessibility to credit for SMEs.

Key Takeaways:

  • Power faster, simplified application processes
  • Make smarter, faster decisions and get to market faster
  • Future-proof your decision technology to keep up as market trends/demands evolve
  • Use advanced, predictive analytics like AI to keep risk in check
  • Leverage real-time, historical and alternative data to ensure a more holistic view of creditworthiness


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Breaking the Cycle of Lending woes for SMEs

NEWS

Breaking the Cycle
of Lending woes for SMEs

According to a recent survey conducted by the United Nations Development Programme (UNDP) on the impact of Covid-19 on MSMEs in the Philippines, nearly 36% of the Philippines’ GDP is generated by small and medium-sized enterprises, with 63% of the workforce being employed by these businesses.

Yet, these businesses continue to face constraints in formal credit accessibility.

In this article from The Manila Times, Bharath Vellore, General Manager, APAC, Provenir, discusses the progress in bridging the Philippine MSME credit gap both from sides of the private sector and government, and how else stakeholders can do more to facilitate  ease and inclusion for MSME lending.  

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Datasheet: Provenir for Banking

DATA SHEET

Provenir for Banking

Make risk decisions faster than the competition without sacrificing your risk strategy.
The way consumers interact with financial services products is changing, rapidly – consumers expect more instant decisions, personalized offers, and automated, digital experiences. With the rapid increase in financial services competition, banks need to think about upgrading their decisioning technology to become more agile, innovative, and flexible in order to win more business.

Are you struggling to stay ahead of the competition? Discover how to take your credit risk strategy to the next level with Provenir’s AI-Powered Data and Decisioning Platform. From the agile, business-user-friendly, low-code user interface to powerful automation and data integration technology, Provenir gives your team the tools it needs to get ahead, and stay ahead, of the competition.

Want more info on upgrading your decisioning?

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10 Fintechs Accelerating SME Lending

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10 Fintechs Accelerating SME Lending

Championing SME Survival and Growth

A new wave of fintechs and neobanks has been sweeping the world of SME Lending off its feet by embracing digital technology, data, and advanced analytics like machine learning and AI. And there’s never been a better time for it. The landscape has changed dramatically for SMEs, not necessarily for the better. The potential of a global recession has consistently lowered margins and hurt SME scaling and expansion efforts. According to a recent report by the World Economic Forum, nearly two-thirds of small to mid-sized businesses (SMBs) said survival and expansion are their primary challenge.

Unlike consumer payments, the B2B variety remain mired in legacy systems and manual practices. And unlike larger, established companies who have long and secure relations with their financial institutions, SMEs have a larger need of help in accessing working capital, which remains their critical pain point.

The result? As access to working capital from traditional lenders dries up, SMEs are increasingly looking to digital-first and alternative channels. A surprising 75% of SMEs report being more likely to use a digital-only bank as their primary provider of working capital. We revisit our list of SME lending innovators, as they go from trend setters to “the new digital normal” in SME financing.

  1. OakNorth – UK-based fintech OakNorth delivers instant credit analysis and real-time portfolio insights focused on transforming commercial lending. The co-founders of OakNorth were rejected for the credit needed to grow their business numerous times, prompting them to create their Credit Intelligence platform. Their goal was to build a robust, sustainable bank but also to create software that would enable other banks to lend to SMEs that were previously underserved.
  2. NeoGrowth – Founded in 2011, India-based NeoGrowth Credit is a tech-enabled business that offers unsecured loans to small retailers in India. Combining traditional and alternate data for more accurate credit scoring, NeoGrowth also offers dynamic repayment terms and automated collections processes to help identify the most creditworthy customers. Calling themselves pioneers in SME lending based on the underwriting of digital payments data, their mission is to help small business owners drive growth that matches their ambitions. Also read: What is credit underwriting?
  3. Kabbage – Selected for the 2019 Forbes FinTech 50 startups list, Kabbage (now owned by American Express) provides SMBs with credit by evaluating business-focused alternative data like accounting info, online sales and shipping. With this more nuanced view of data to better understand performance, Kabbage is able to offer flexible credit options in real time.
  4. Banco Pichincha – In 2016, Banco Pichincha received a credit line of $55 million from the International Finance Corporation (IFC) to finance loans to women-owned SMEs in an effort to fuel the growth of female Ecuadorian entrepreneurs. Ecuador’s largest bank, they doubled down on their mission in 2019 when they signed an alliance with the Overseas Private Investment Corporation (OPIC) and Wells Fargo for a combined loan of $108 million to support loans to MSMEs in the region that are owned, led by or support women.
  5. Allica Bank – Claiming that SMEs have often been left behind by the ‘big banks,’ Allica Bank combines modern technology with local relationships to ensure SMEs have the tools and the funding they need to operate. Based in the UK, Allica Bank offers SMEs asset financing, with up to £1 million worth of flexible financing options.
  6. Judo Bank – Australia’s only challenger bank built specifically for lending to SMEs, this innovative organization seeks to bring back the lost art of relationships in business banking. Created by experienced business banking professionals, they brand themselves as a ‘genuine alternative’ for SMEs who want quick access to not only funds, but the superior customer experience they deserve.
  7. First Circle – Based in the Philippines, First Circle’s mission is to enable SMEs to achieve their full potential through fast and flexible financial partnership. Their customers often have no credit data or fixed collateral and as a result are excluded from the traditional banking sector (and therefore often forced to work with predatory lenders). First Circle allows these SMEs to secure funding in as little as a day through an automated, digitized application process.
  8. Lulalend – Sixty percent of South African businesses find it difficult to access the capital necessary to grow their business, due to long wait times, painful paperwork requirements and the necessity of high collateral. Lulalend uses AI to score creditworthiness instantly, ensuring small business owners are able to receive funding within 24 hours of applying. To date, they’ve processed over 70,000 applications and secured funding for thousands of small businesses across South Africa.
  9. Siembro – Argentinian organization Siembro uses AI to power their in-house loan algorithm, providing them the ability to offer instant loan approvals for small businesses in the area of agricultural and machinery. With over 1.5 million small and medium farm businesses in the country who have limited access to credit (and limited cash flows), Siembro focuses on ensuring corn, wheat and soy farmers obtain the funding they need to survive.
  10. Iwoca – A start-up that began when its founders noticed that small businesses were getting shut out of access to much-needed credit, iwoca is now one of the fastest-growing business lenders in Europe. Working towards a goal of funding one million small businesses, iwoca wants to ensure that SMEs have more time to run and grow their business instead of being forced to fill out endless paperwork and wait for approvals. Recently, their B2B financing solution iwocaPay integrated with Quickbooks to help small businesses with their cash flow, increasing businesses’ customer base and revenue.

Faster Loan Approvals

By embracing the use of digital technology, data, and advanced analytics like machine learning and AI, these companies have been able to simplify, and in many cases completely transform application processes. They are able to automate credit decisioning to provide accurate, real-time approvals, allowing SMEs to gain access to funds quicker than ever before. By automating data collection, risk decisioning and pricing, lenders can automate approvals and ensure funding is in hand within a matter of only days – or even hours!

The capabilities these lenders are offering are not just a critical lifeline. Their products tend to be more flexible and more personalized to each SMEs unique needs, allowing them to go from mere survival, to full-blown adaptation to a changing, uncertain environment. That is the unique power of AI-fueled, data-led tech innovation.

Also, read: What is Banking as a Service (BaaS)?

Want to find out more about how to increase SME loan approvals without increasing your risks?

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Budget 2023: Industry Reacts to Government Plans for SMEs, Tech and AI

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Budget 2023:
Industry Reacts to Government Plans for SMEs, Tech and AI

In response to UK Chancellor of the Exchequer, Jeremy Hunt, unveiling his 2023 spring budget, which in part, aims to make the UK a “science and technology superpower,” The Fintech Times reached out to industry experts for their thoughts on his actions to encourage greater investment and innovation in the technology sector.

David Mirfield, Director of Product Management for Provenir AI, shared his perspective and predictions on the Finance Minister’s announced investment in quantum computing to support the UK’s AI ecosystem.

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Provenir Partners with Investree Philippines to Improve SME Lending Experiences

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Provenir Partners with Investree Philippines
to Improve SME Lending Experiences

The partnership will empower SMEs in Philippines with digitalised and innovative SME lending processes

Singapore — 13 March 2023, Provenir, a global leader in data and AI-powered risk decisioning software for fintechs and financial services providers, is proud to announce a strategic partnership with Investree Philippines, the country’s first crowdfunding intermediary and funding platform. This partnership will allow Investree to integrate Provenir’s data, decisioning and AI capabilities to provide accessible and inclusive financing to small and medium enterprises (SMEs).

Globally, the business-to-business (B2B) SME segment is fast-growing, but many SMEs still face several hurdles when it comes to receiving credit. This trend is particularly concerning in developing markets such as the Philippines where SMEs comprise 99.6% of total business establishments in the market and employ 65% of the workforce.

Provenir’s platform provides Investree Philippines with the capability to access, evaluate, and process a wide range of data sources to create accurate risk models, improving the quality of risk assessments and decisioning for financing applicants. Through the Provenir Marketplace, users can integrate with multiple data sources, such as credit bureaus, fraud detection providers, and social media activity through a single API to provide a comprehensive view of the applicant’s creditworthiness and financial standing.

Investree Philippines’ innovative crowdfunding model utilises this data and technology to connect SMEs with institutional investors, providing access to financing that may not be available through traditional funding sources. Its success has been recognised with a permanent license from the Securities and Exchange Commission (SEC), as well as partnerships with leading organizations like the Asian Institute of Management (AIM) and the Philippine SME Business Expo (PhilSME).

“We recognise the need to accelerate post-pandemic recovery and promote recession resiliency through efficient risk grading of financing applicants,” said Kok Chuan Lim, Co-founder and CEO of Investree Philippines. “With the integration of Provenir’s platform, Investree Philippines can provide SMEs with a streamlined and more reliable risk decisioning process, enabling them to receive financing faster and more efficiently. The partnership with Provenir is a significant milestone for Investree Philippines as we seek to expand our presence in the country with initiatives that aim to empower SMEs. The company remains committed to promoting financial inclusion, providing innovative financing solutions, and fostering partnerships that support the growth of local enterprises.”

“Investree Philippines is playing a significant role in empowering SMEs with a more accessible lending experience,” said Bharath Vellore, General Manager, APAC for Provenir. “We share this goal and will provide the real-time, on-demand data access, embedded AI and world-class decisioning technology they need to quickly evaluate risk and provide the critical financing SMEs need to grow and succeed.”

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Managing SME Lending Risk

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Managing SME Lending Risk

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Forty-four percent of SMEs look to funding to meet operating expenses, with this number expected to grow considerably during times of economic uncertainty. Fifty-six percent of SMEs seek funds to expand business operations or pursue new market opportunities. But waiting months or even weeks for credit approval and funding can mean the difference between innovation and business closure. 

It has always been a challenge for traditional financial service providers to make SME decisions profitable, balancing the relatively small monetary amounts requested, the high volume of demand and the complexity of the decision required.  How can financial services organizations and fintechs more efficiently manage the risk of lending to SMEs? The answer is leveraging both traditional and alternative data to drive automation.

Watch our on-demand webinar and discover how data is key to driving risk strategy innovation, and how it enables rapid approvals and more accurate risk decisions.

Key Highlights:

  • Discover how alternative data can minimize risk while accelerating growth
  • Explore unified data and decisioning solutions that drive risk strategy innovation
  • Learn how to deploy more accurate credit risk models by accessing the right data at the right time
  • Gain insights on identifying and mitigating fraud risk with data-driven decisioning


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Key considerations for AI in SMB lending

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Key considerations
for AI in SMB lending

How can lenders improve the speed and accuracy of loan approvals for SMBs? AI predictive analytics, machine learning and the use of alternative data are key to making improvements in many areas of SMB lending but there are many considerations SMB lenders need to ponder to ensure they are truly positioning themselves on the path to progress.

In this BAI article, John Pesavento, Vice President of Technology for Reliant Funding, shares his observations on approaches and questions lenders should really explore to determine how AI, machine learning and the right data can help them improve predictability at each inflection point across the entire funnel—from an early sales lead to application approval based on submission characteristics.

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What is a decision engine and how does it help your business processes?

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