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p/finfloh
Accounts Receivable Software for CFOs & B2B finance teams
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Kevin William David
FinFloh Credit Decisioning AI — Empowering Faster & Smarter B2B Credit Decisions, Every Time
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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.
Replies
Amartya
Maker
📌
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
Maker
@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?
Micha Cassola
Sounds like a very cool thing. Where does the buyer data come from?
Valerius Dcunha
Maker
@michacassola Thank you! The buyer data comes from a combination of sources, including information provided by the business (such as customer records and transaction history) and integrations with third-party credit agencies. This ensures that we have a comprehensive view of the buyer's credit risk profile, enabling better decision-making and risk management.
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?
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!
Amartya
Maker
@elita_sequeira Thanks Elita. Meant a lot.
Marian Vovk
@iamartya Congratulations on the launch of FinFloh Credit Decisioning AI! The use of machine learning to enhance credit decision accuracy is truly innovative. How do users find the AI's performance in predicting credit risks compared to traditional methods? Would love to hear some user stories!
Amartya
Maker
@marian_vovk Thanks a lot. It's humanely impossible to take multiple parameters while calculating credit risk. Hence most users depend on muscle memory and intuition or some real risk for credit decisions. Our AI engine has cut out the guesswork and has made it more data-driven. Further, its backward compatibility with CRMs makes it action-driven.
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
Maker
@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.
Stepan Solodnev
I’m amazed at how FinFloh Credit Decisioning AI simplifies the B2B credit decision process. It’s incredibly smart, integrating seamlessly with CRMs like Salesforce. The machine learning algorithms offer dynamic and precise credit decisions at onboarding, which saves time and boosts confidence in the results. I no longer have to rely on outdated methods or guesswork. It's like having a financial expert guiding you through every transaction! I honestly can't imagine managing credit without this tool anymore.
Amartya
Maker
@solodnev True that. data-backed credit decisions are the way
AwesomeYang
FinFloh Credit Decisioning AI is a smart solution for B2B credit processes! Its machine learning algorithms generate precise credit risk scores based on real market data, helping teams make informed decisions on terms and payments. Plus, the easy CRM integration means less admin work and improved collaboration between finance and sales. Congratulations 🎉 Also, this product is listed for free on the AIWITH.ME list! Right here: https://aiwith.me/tools/finfloh-...
Amartya
Maker
@awesomeyang Thanks Yang for the listing! Yes, CRM integrations (esp. with ERP) are a must-have.
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
Maker
@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
Maker
@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.
Iulian D
Congrats to the FinFloh team! 🚀 The seamless CRM-ERP connectivity and accurate credit decisions are impressive. How do you see businesses benefiting from these features in the long term?
Amartya
Maker
@idowbmarc Thanks! Over the long term, the buyers onboarded by firms have better risk coverage and predictability.
Abhijeet Sahoo
The credit decision is highly applicable for my onboarding use-case. We have been facing this issue since a long time.
ma
FinFloh's Credit Decisioning AI is a revolutionary tool for the financial industry! 💳🤖 Its ability to streamline and automate credit decisions with precision will drastically improve efficiency and reduce risks. Excited to see how FinFloh will empower businesses to make smarter, data-driven lending choices! 🚀👏
Patryk Pijanowski
It looks very good, I will be happy to test and share my opinion.
Raghav Shetty
great product. helps with credit decisions.
Taras Tymoshchuk
@iamartya Great to see AI being used to enhance credit decisioning! Does FinFloh offer any analytics or reporting features to help businesses understand their credit decision trends?
Amartya
Maker
@taras_tymoshchuk Thanks Taras. Yes. Our analytics and reporting is aligned to provide businesses the ability to understand the difference between projected ARR and actual ARR, cashflow differences, contract terms impact.
Congratulations on launching FinFloh Credit Decisioning AI! This AI-powered solution is a beacon for businesses seeking to expedite and enhance their B2B credit decision-making processes. The integration with CRM systems like Salesforce is a strategic move, ensuring that credit, contract, and pricing decisions are not only accurate but also seamlessly integrated into existing workflows. A commendable innovation in the financial technology space.
Amartya
Maker
@flowsz Thanks a lot for your mention of the innovation. In today's world, innovation is the big differentiator.
Emily Johnson
This is impressive, Amartya! Leveraging ML for credit decisioning is such a game changer for finance teams. The way FinFloh integrates with CRMs like Salesforce to provide dynamic credit risk scores is a huge step forward. Love the focus on improving collaboration between sales and finance. The 21-day free trial is a fantastic offer too! Can't wait to see how businesses benefit from this. Upvoted!
Amartya
Maker
@baidrs Thanks. The collaboration between sales and finance is a must.
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
Maker
@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
Maker
@kyrylosilin - I would love to take this discussion forward, can you please help us with your email id or your linkedin profile?
nikhil
Well done, @iamartya and team! Huge achievement with the launch
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
Maker
@tonyhanded Thanks. Yes, for accurate underwriting, combining business + market data is the way.
Subhasis Sahoo
Maker
@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!