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.
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!
The automation in customer onboarding sounds useful. Does it adapt based on changing contract terms or credit limits?
I find the predictive analytics feature intriguing. How often does it pull data to stay accurate and provide up-to-date forecasts?
Incredible work! 🚀 The design is clean and user-friendly. What was the hardest feature to develop?
Congrats! How does your OCR engine handle invoice-payment matching, especially for non-standard invoice formats?
Your collaborative workflows for dispute resolution sound effective. How are responsibilities assigned to streamline the process?
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-...
Very interesting. Congrats you! What kind of data sources does FinFloh integrate for accurate buyer risk scoring? 🤔
Excellent , Great Job Team. Congratulations @iamartya and team on successful launch!!!
I’m interested in how your platform manages credit reviews. Does it sync automatically with ERP systems?
I'm interested in learning more about the success stories of businesses that have used this tool.
The integration with Salesforce is a huge plus for me. I already use Salesforce, so this would make it easy to implement.
Sounds cool! As a business owner, I'm always looking for ways to improve our credit decision-making process.
It’s like having a personal finance superhero. If only it could also make coffee! ☕️💪
I have seen similar solutions before, but this one feels more advanced, especially in how it integrates with customer lifecycle tools.
Absolutely! It's inspiring to see FinFloh leverage AI to transform financial decision-making.
Question: With FinFloh's AI constantly learning from interactions, what measures are in place to ensure data privacy and security for users' sensitive financial information? Eager to learn more about your tech!
A friend of mine was asking for something that could integrate AI into their customer onboarding process. I think this would be a perfect fit for them.
