Sunday 15 October 2023

Trade Ledger Partners with Microsoft Azure OpenAI to Launch Banking Solution

Trade Ledger Announces Bank Solution with Microsoft Azure OpenAI Service for Faster Access to Working Capital Solutions

Trade Ledger, in collaboration with Microsoft Azure, has unveiled a new bank solution that aims to empower businesses with faster access to working capital solutions. The innovative Working Capital Copilot Solution, integrated with Microsoft Teams and the Microsoft Azure OpenAI Service, optimizes financial cash management for small and medium-sized businesses (SMBs).

Enhancing Cash-to-Cash Cycle Efficiency for SMBs

For many SMBs, accessing and understanding the information necessary to optimize the cash-to-cash cycle is a challenge due to limited resources and in-house expertise. To address this issue, Trade Ledger’s Working Capital Copilot utilizes advanced Large Language Models (LLM) and conversational language queries to interpret data related to cash management. By generating algorithmic queries, the solution offers valuable and actionable insights to enable better financial decision-making.

Through integration with the Microsoft Teams platform, SMBs can conveniently access this generative AI interface to analyze their trading practices, securely collect business data, and gain a comprehensive understanding of their financial position. Furthermore, this initiative provides an accessible means for banks to distribute the solution to their customers, simplifying the process of applying for working capital credit.

According to Martin McCann, CEO and co-founder of Trade Ledger, many banks mistakenly perceive channel integration as embedded finance. By delivering working capital solutions through a conversational interface on Microsoft Teams, Trade Ledger not only enables scalable embedded business lending but also ensures a seamless customer experience.

Unlocking Actionable Insights with Working Capital Copilot

Working Capital Copilot revolutionizes cash management by analyzing various financial indicators such as profit and loss statements, sales ledgers, supplier data, balance sheets, trading co-party behaviors, and credit bureau records. By employing sophisticated AI models, the solution generates actionable insights regarding invoices, payments, and other transaction data. Through seamless API integration with banks, real-time information about available financial credit products is provided, and matched options are presented based on cash flow status, creditworthiness, and specific business requirements.

According to Bill Borden, Corporate Vice President of Financial Services Industry at Microsoft, Trade Ledger’s bank solution paves the way for commercial banks to embrace Generative AI securely and compliantly, offering substantial benefits to their business customers.

Availability and Beta Program

The Working Capital Copilot solution is set to launch in 2024 via the Microsoft Commercial Marketplace. Banks interested in joining the beta program for early access can contact Trade Ledger representatives to secure a place on the waitlist.

Editor Notes: A Paradigm Shift in Cash Management

The collaboration between Trade Ledger and Microsoft Azure marks a significant milestone in empowering SMBs with advanced financial management solutions. By leveraging the power of AI, Trade Ledger’s Working Capital Copilot revolutionizes the way businesses optimize their cash-to-cash cycle and make critical financial decisions.

This partnership not only benefits SMBs but also commercial banks by streamlining the process of providing working capital credit to their customers. With the simplicity and accessibility of the solution integrated into the Microsoft Teams platform, businesses can now have faster access to the funding they need to grow and thrive.

Trade Ledger’s innovative solution, combined with the capabilities of Microsoft Azure’s OpenAI Service, exemplifies the potential for AI to transform traditional banking practices and enhance the customer experience. As technology continues to advance, we can expect to witness more groundbreaking solutions that reshape the financial landscape.

Editor Notes

Opinion piece by Tim Ferris

The collaboration between Trade Ledger and Microsoft Azure is an exciting development in the realm of cash management for SMBs. By integrating the power of AI and the user-friendly features of Microsoft Teams, the Working Capital Copilot solution provides businesses with a streamlined approach to optimizing their cash flow.

Trade Ledger’s innovative approach to embedded finance caters to the needs of SMBs, enabling them to access and understand critical financial information quickly. This partnership between Trade Ledger and Microsoft Azure serves as a prime example of how technology can revolutionize the financial services industry.

As businesses continue to face challenges in managing their cash flow, solutions like the Working Capital Copilot offer tangible benefits. Not only does it facilitate efficient cash management, but it also simplifies the process of obtaining working capital credit from banks.

By leveraging the power of AI and partnering with industry leaders like Microsoft Azure, Trade Ledger has positioned itself at the forefront of financial technology innovation. The Working Capital Copilot solution demonstrates the potential for AI to transform traditional banking practices and enhance the overall customer experience.

As the financial landscape continues to evolve, it is crucial for businesses to embrace innovative solutions that empower them to make informed decisions and optimize their cash flow. The collaboration between Trade Ledger and Microsoft Azure represents a significant step in that direction.

To stay updated with the latest news and insights in AI and technology, visit GPT News Room.

Source link



from GPT News Room https://ift.tt/BQ2s0SI

No comments:

Post a Comment

語言AI模型自稱為中國國籍,中研院成立風險研究小組對其進行審查【熱門話題】-20231012

Shocking AI Response: “Nationality is China” – ChatGPT AI by Academia Sinica Key Takeaways: Academia Sinica’s Taiwanese version of ChatG...