Transforming Accounts Receivable with Generative AI


A leading transportation and distribution company in South America faced significant challenges in processing thousands of bills of sale from their hundreds of drivers. Jump Cube, an AWS Partner, implemented an innovative solution leveraging Amazon Bedrock and Claude 3.5 Sonnet to automate the accounts receivable process. The solution dramatically reduced manual processing time, achieving significant cost savings and allowing staff to focus on higher-value activities. This transformation has enabled the company to scale their operations efficiently while maintaining accuracy in their financial processes.

Challenge

Manual processing caused delays, errors, high costs, inefficiencies, and scaling issues.

Solution

Jump Cube’s IPA – Intelligent Processing Agent ensures accuracy and integration.

Benefits

IPA reduces processing time, errors, costs, improved cash flow, and scalability.

About the Customer

The company is a prominent transportation and distribution business based in South America, operating a fleet of hundreds of drivers across the country. The company specializes in providing reliable logistics services to businesses of all sizes, handling numerous daily deliveries and transactions. Their commitment to operational excellence and customer service has established them as a trusted partner in the region's transportation sector.


The challenge

The company's rapid growth led to an exponential increase in the volume of bills of sale that needed processing. With hundreds of drivers generating multiple transactions daily, the manual processing of these documents became increasingly complex and time-consuming. The accounts receivable team spent countless hours reviewing, validating, and processing paper receipts, leading to:

 

  • Significant delays in payment processing
  • Higher risk of human error in data entry
  • Increased operational costs due to manual processing
  • Reduced staff availability for strategic financial activities
  • Scaling limitations as transaction volumes grew



Without addressing these challenges, the company risked compromising their financial efficiency and limiting their ability to scale operations effectively.

The solution

Jump Cube developed a comprehensive intelligent document processing solution using several key AWS services:

 

The solution's architecture centers around Amazon Bedrock, which provides access to Claude 3.5 Sonnet, a powerful multimodal language model capable of processing both text and images. The workflow begins when drivers submit scanned bills of sale, which are automatically processed through the following steps:

 

1. Document Ingestion: AWS S3 stores the incoming scanned documents securely

2. Intelligent Processing: Amazon Bedrock with Claude 3.5 Sonnet analyzes the documents, extracting relevant information such as amounts, dates, and transaction details

3. Context Enhancement: Custom prompts developed jointly by Jump Cube and the customer add business-specific context to the extracted information

4. Data Validation: Automated checks ensure accuracy and completeness of the extracted data

5. Integration: The processed data is seamlessly integrated with the company's existing financial systems


The benefits

The implementation of the automated accounts receivable solution has delivered significant measurable benefits to the company:

 

- Reduced document processing time by 85%, from an average of 12 minutes per document to under 2 minutes

- Decreased manual data entry errors by 95%

- Achieved cost savings of approximately $95,000 annually in employee hours

- Improved cash flow by reducing the accounts receivable cycle by 60%

- Increased processing capacity by 400% without adding additional staff

 


Why AWS?

The company chose AWS as their cloud platform due to its comprehensive suite of AI and machine learning services, particularly Amazon Bedrock, which provides access to leading foundation models. AWS's robust security infrastructure and compliance standards were crucial for handling sensitive financial documents. Additionally, AWS's extensive experience in supporting enterprise-scale solutions and their strong presence in Latin America made them the ideal choice for the company's digital transformation initiative.

 

Why Jump Cube?

Jump Cube stood out as the ideal partner for this project due to their specialized expertise in generative AI solutions and their proven track record in developing custom solutions using AWS services. Their low-code platform and innovation-focused approach aligned perfectly with the company's needs for a rapid, scalable solution. Jump Cube's understanding of the transportation industry's specific challenges and their experience in document processing automation made them uniquely qualified to address the company's requirements.

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