Kevin William David

FinFloh Credit Decisioning AI - Empowering Faster & Smarter B2B Credit Decisions, Every Time

Powered by a ML-driven dynamic credit decisioning algorithm, FinFloh enables businesses with AI-driven accurate credit/contract/pricing decisions across customer lifecycle, esp. during customer onboarding integrated with CRMs like Salesforce.

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Amartya
Thank you so much for hunting us @Kevin ! I’m Amartya, CEO & Co-founder of FinFloh. Think of AI and how it can be applied for Finance teams to be more productive and make better decisions. FinFloh Credit Decisioning AI is just that, and more. Through the AI-powered Credit Decisioning software, firms can leverage Machine Learning to use market intelligence, buyer payment history and buyer behaviour to generate a credit risk score for their buyers. The score is dynamically calculated and is indicative of the risk associated with a buyer and can answer many questions - - What kind of terms work best? - When are they going to pay? - How are they going to impact cashflows? - Are they going to default? - What kind of efforts are required to get payments from them? In short, the risk score is an intelligent input into our AI Credit Decisioning software through which firms can automate their buyer onboarding decisions and process, define and track credit limits, best negotiate their credit/contract/payment terms, structure renewals and even forecast their cashflows. The icing on the cake is our backward feedback into CRMs like Salesforce to work out the credit/contract/pricing terms and track the account-related data provided like revenue targets and buyer data. What this means - firms can negotiate the best terms, sales and finance teams communicate better, and ERPs and CRMs sync perfectly. How do we impact and empower firms? 1. Credit Control: ML-driven Credit risk scoring of buyers based on market intelligence and buyer behaviour 2. Accurate Credit Decisions: AI-driven, data-backed recommendations enable precise credit terms, improving decision-making. 3. Powerful CRM-ERP connectivity: Seamless data flow and sync between CRM-ERP entails lesser manual uploads and errors and data mismatch. 4. Reduction in Overdue Balances: Implementing the right credit terms helps minimize overdue payments and enhance cash flow. 5. Lower Risk of Bad Debt: With accurate credit assessments and onboarding the right buyers, businesses reduce their exposure to bad debt. 6. Improved Sales-Finance Collaboration: By feeding account-level credit data back into CRMs, sales and finance teams stay aligned, ensuring seamless collaboration and more informed decision-making. With simple no code integrations, FinFloh is compatible with all major ERPs (Oracle/Microsoft/SAP/ Xero/Sage/others), CRMs (esp. Salesforce) and other accounting and invoicing softwares. In just a week’s time, businesses can start using the solution and get up and running. Prior to FinFloh, I was the co-founder at a deep-tech payments startup into SoftPOS payments enabled by NFC, which was acquired by a listed payments entity. Prior to that, I have more than a decade of experience in building and selling products to businesses with a major focus on fintech. We’re super excited to be hunted here. Looking forward to helping businesses across the world become cash flow positive & never worry about taking the right credit decisions. Now, imagine a world where invoices pay themselves and cash flows effortlessly. With FinFloh, that's your reality. If you would like to understand more about what we do and how FinFloh could be of help to your company, you can either book a demo or start a free 21-day trial. We’re also excited to waive off the fees for your 1st 2 months on our year one pricing for businesses who sign up from the Product Hunt community. Cheers!
Joseph Abraham
@kevin @iamartya Cheers to the team behind this! Wishing you all the best on this new adventure. What are you most excited about with this launch?
Subhasis Sahoo
@max_savonin1 - I handle marketing at FinFloh, could you please tell us your email id or linkedin id so that we can get in touch to discuss this further?
Valerius Dcunha
FinFloh's Credit Decisioning AI is a game-changer for businesses. It gives real-time visibility into customer credit health, allowing sellers to make faster, more confident decisions on extending credit. The automated risk scoring and alerts ensure sellers stay ahead of potential issues, reducing bad debt and improving their cash flows. For businesses looking to enhance credit control and minimize risk, FinFloh is an invaluable tool. It not only streamlines the process but also empowers teams to focus on growth with confidence.
Subhasis Sahoo
@valerius_dcunha - Thanks for summing it up so well! The real-time visibility and proactive risk scoring are exactly what make FinFloh a game-changer. It’s awesome how this tool helps teams stay ahead of potential issues while staying focused on growth. Couldn’t agree more with your points!
Tony Carter
Hey Amartya and the FinFloh team! What an exciting innovation for finance teams! 🎉 The AI-powered Credit Decisioning software sounds like a powerful tool that can significantly enhance productivity and decision-making in financial operations. Automating the buyer onboarding process, leveraging market intelligence and buyer behavior to generate dynamic credit risk scores, and integrating seamlessly with major ERPs and CRMs is a game-changer. The ability to forecast cash flows and reduce the risk of bad debt is incredibly valuable. Kudos to you all for making financial management more efficient and insightful. Super excited to see how FinFloh evolves and impacts businesses worldwide. 🚀👏 #Upvoted P.S. The free 21-day trial and the two-month fee waiver for the Product Hunt community is a fantastic offer! 😊 @iamartya
Amartya
@tony_creator Thanks Tony. We are all up for innovation for finance teams.
Kyrylo Silin
Hey Amartya, How does FinFloh handle unique or niche industries where standard credit metrics might not apply? Do you have any case studies or examples of how this has improved decision-making accuracy for businesses? Congrats on the launch!
Valerius Dcunha
@kyrylosilin Thanks! FinFloh is designed to be flexible, and we recognize that traditional credit metrics may not always apply to unique or niche industries. In such cases, we work closely with businesses to tailor our approach, incorporating industry-specific data points and operational insights. This allows us to build a more accurate risk profile that reflects the nuances of your industry. We do have case studies where businesses in niche markets have benefited from this tailored approach. For eg - one of our client in the technology sector was able to improve decision-making accuracy by leveraging custom risk indicators, leading to a 20% reduction in overdue payments. Happy to share more details :)
Subhasis Sahoo
@kyrylosilin - I would love to take this discussion forward, can you please help us with your email id or your linkedin profile?
Tony Han
Underwriting is a tough job and for many businesses it doesn't make sense to make it part of their product. I can see this is what FinFloh's value prop is. In one of our old business we used to rely on credit score and it's super risky. 1st party data from business and 3rd party data combined is the right way to go. The cool thing is this data get fed into your model somehow I assume - and the model just gets better which attract more customers like a flywheel. Congrats on the launch @iamartya and team!
Amartya
@tonyhanded Thanks. Yes, for accurate underwriting, combining business + market data is the way.
Subhasis Sahoo
@tonyhanded - Thank you for recognizing the complexities of underwriting and the value that FinFloh brings to the table! You're absolutely right—relying solely on traditional credit scores can be risky. By combining first-party data from businesses with third-party data, we ensure a more holistic credit risk assessment. Exactly as you pointed out, our machine learning model continuously learns and improves as more data flows through the system. This dynamic approach helps businesses make smarter credit decisions while reducing risk, creating that "flywheel effect" that attracts even more customers over time. We're all about making underwriting easier, more accurate, and scalable for businesses!
Ditarth Desai
Congratulations on the launch of FinFloh! Great job on creating such an innovative solution.
Amartya
@ditarth_wbs Thank you. We love innovation!
Asher Dorian Thorne
@iamartya Amazing thought process behind FinFloh! Love how it combines AI with finance to make smarter decisions and boost cash flow. Kudos to you and your team for building such a powerful tool.
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Just checked out FinFloh Credit Decisioning AI, and it sounds super impressive! 🤖 The idea of using a machine learning algorithm for faster and smarter B2B credit decisions is a total game changer. It’s great to see tech making such an impact in the credit space. How does it integrate CRMs like Salesforce? Is the setup pretty straightforward? Excited to learn more!!
Amartya
@new_user__330202361305144c07d45c0 Thanks for your comment. Yes, Salesforce integration is sleek and seamless and transforms the onboarding flow.
Kavya Tripathi
Amazingg! Congratulations on the Launch! What was your motivation behind creating this product?
Amartya
@kavyaaatripathi Thanks! I and the finance teams I've worked with have faced a lot of challenges in accounting softwares. We see a lot of gaps like manual processes, lack of AI, no data usage, and costly developments. That pushed us to build use-case driven solutions for them like Credit Decisions, Accounts Receivable and Treasury.
Thierry Watelet
So you're saying this new AI can make credit decisions faster but are we really ready to trust a machine over experienced financial professionals, what happens when the AI makes a mistake, I think it's crucial to consider the risks before diving in, I'm cautious.
Subhasis Sahoo
Hi @curiousorator - We are not here to replace human intelligence, FinFloh's credit decisioning AI acts a co-pilot to help take faster and more accurate credit decisions. Our ML model takes market intelligence (credit agency scores, credit groups scores, etc) and also past payment behaviour of a buyer to determine a credit score. Based on this credit score, our AI-engine recommends ideal credit terms which reduces the overall risk of doing business both during customer onboarding and after. Reiterating, we are not here to replace human intelligence. We just enable humans to do their tasks 10x better and faster.
Valerius Dcunha
@curiousorator That’s a great point, and I completely understand your caution. While FinFloh’s AI is designed to make credit decisions faster by analyzing large amounts of data more efficiently than humans can, it’s not about replacing experienced financial professionals. Instead, it’s a tool to enhance their decision-making. FinFloh AI can quickly surface insights and flag potential risks, but the final decision is still in the hands of finance seller teams. We’ve found that combining human expertise with AI-driven insights leads to better outcomes overall. When it comes to mistakes, we’ve built in safeguards and allow for human review. If the AI flags something unusual, it can be manually adjusted or overridden by a financial professional. Ultimately, the goal is to reduce manual workload, speed up processes, and make more informed decisions—not to take over human judgment. We encourage businesses to start small, test the system, and ensure it complements their existing workflows.
Richard Song
Big congrats, @iamartya! FinFloh is truly a game-changer for finance teams. The integration with Salesforce and other ERPs is super impressive. How do you handle the training and onboarding for businesses to get up to speed with the system quickly?
Hubert
Seems like another tool trying to fix what’s not broken, relying too much on AI can lead to serious errors in credit decisions, have you considered the risks if the algorithm fails?
Shivam Rawat
@foractivedev Hi Hubert, we agree that the process may not be completely broke but that doesn't mean it can't be improved upon. We use a large set of data points to make the decision making process easier for humans, we don't impose the outcomes based on our algorithms. Excellent point though!
Deborah Gourgner
This new AI sounds promising but will it really make credit decisions better or just faster, I've seen too many tools like this that overpromise and underdeliver, how does it handle borderline cases where human judgment is key?
Shivam Rawat
@contentmuse great point about human judgment still being required. FinFloh's AI recommendations are just that, recommendations, at the end of the day the final decision still lies in your hands. FinFloh simply tries to make the decision making process easier for you.
Ethan Williams
Impressive launch, @iamartya! FinFloh’s AI-driven approach to credit decisioning is exactly what many businesses need to streamline their processes and minimize risk. The integration with Salesforce and major ERPs is a game changer, ensuring that finance teams have access to accurate, real-time data for better decision-making. I love the idea of automating credit assessments based on buyer behavior and market intelligence — it’s a smart way to boost collaboration between sales and finance. Plus, the potential to reduce overdue balances while maintaining cash flow is crucial for many organizations. Excited to see how this evolves! Upvoting this for sure! 🚀
Amartya
@orange123 Thanks. Integration with Salesforce has been powerful for firms.
Bohdan Mashtalir
Wow, FinFloh sounds like a revolutionary tool for finance teams! I love how it takes the guesswork out of credit decisions and turns cash flow management into a seamless, AI-powered process—super cool!👍
Amartya
@bohdan_mashtalir Thanks for your kind words. Yes, we want to take out the guesswork and make decisions more data-driven and free of biases.
Nancy
Thanks to the team for developing and releasing FinFloh, which presents us with such a good product. Through the buyer's credit risk status, we can make better decisions and manage risks.
Amartya
@nancy_zhou_klee Thanks. Yes, Credit risk management has become important in recent times.
Subhasis Sahoo
@nancy_zhou_klee - Thank you for the kind words! We're thrilled to hear that FinFloh is helping you make better decisions and manage risks more effectively. It’s exactly what we envisioned—to empower teams with insights into buyer credit risk and streamline their decision-making process. Appreciate your support!
Elita Sequeira
Congratulations @iamartya and the FinFloh team! As someone who was recently working in fintech, I can see that y'all have developed an excellent product. Well done!
Star Boat
Cheers to the launch! Leveraging a machine learning-driven dynamic credit decisioning algorithm, FinFloh empowers businesses to make accurate credit, contract, and pricing decisions seamlessly across the customer lifecycle.Especially impressive is its integration with CRMs like Salesforce, making customer onboarding more efficient and precise.
Kelly Kim
It seems like a great tool for collaboration between the finance team and the sales team. One quick question: Is it possible to integrate bank accounts to automatically check whether payments have been received from clients?
Subhasis Sahoo
@kellypoly - Let's have a chat about this and understand your requirement better? Could you please drop in your email id or linkedin id to take this conversation ahead.
Amartya
@kellypoly Just to add more context to Subhasis response, we work with third party service providers for this and we can parse through MT940 bank statements to read it. Happy to discuss more. You can write to us at hello@finfloh.com or pls share your email ID, we will reach out to you.
alexandra.kozareva
Great idea, much needed. Love that you guys offer a free trial to let users test the system before purchasing. Good luck with the launch!