Ecocarga: Transforming accounts receivable with generative AI

Jump Cube • May 21, 2026

Executive Summary


Ecocarga, a leading transportation and distribution company in Colombia, faced significant challenges in processing thousands of sales invoices generated by its 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 drastically reduced manual processing time, achieved significant cost savings, and allowed the team to focus on higher-value activities. This transformation has enabled Ecocarga to scale its operations efficiently while maintaining accuracy in its financial processes.


About the Customer


Ecocarga is a leading transportation and distribution company headquartered in Colombia, operating a fleet of hundreds of drivers across the country. The company specializes in providing reliable logistics services to businesses of all sizes, managing numerous deliveries and daily transactions. Its commitment to operational excellence and customer service has established it as a trusted partner in the region’s transportation sector.


Customer Challenge


Ecocarga’s rapid growth led to an exponential increase in the volume of sales invoices that needed to be processed. With hundreds of drivers carrying out multiple transactions each day, the manual processing of these documents became increasingly complex and demanding. The accounts receivable team spent countless hours reviewing, validating, and processing paper receipts, which resulted in:


  • Significant delays in payment processing
  • Increased risk of human error in data entry
  • Higher operational costs due to manual work
  • Reduced team availability for strategic financial activities
  • Limited scalability as transaction volumes continued to grow
  • Without addressing these challenges, Ecocarga risked affecting its financial efficiency and limiting its ability to scale operations effectively.


Why AWS


Ecocarga chose AWS as its cloud platform because of its comprehensive portfolio of AI and machine learning services, especially Amazon Bedrock, which provides access to leading foundation models. AWS’s robust security infrastructure and compliance standards were key to handling sensitive financial documents. In addition, AWS’s extensive experience supporting enterprise-scale solutions and its strong presence in Latin America made it the ideal choice for Ecocarga’s digital transformation initiative.


Why the Customer Chose the Partner


Jump Cube stood out as the ideal partner for this project because of its specialized expertise in generative AI solutions and its proven track record developing tailored solutions with AWS services. Its low-code platform and innovation-driven approach aligned perfectly with Ecocarga’s need for a fast and scalable solution. Jump Cube’s understanding of the specific challenges of the transportation sector, together with its experience in document processing automation, made it especially qualified to meet Ecocarga’s requirements.


Partner Solution


Jump Cube developed a comprehensive intelligent document processing solution using several key AWS services. The solution architecture centers on Amazon Bedrock, which provides access to Claude 3.5 Sonnet, a powerful multimodal language model capable of processing text and images. The flow begins when drivers submit scanned sales invoices, which are automatically processed through the following steps:


  • Document ingestion: AWS S3 securely stores incoming scanned documents.
  • Intelligent processing: Amazon Bedrock with Claude 3.5 Sonnet analyzes the documents and extracts relevant information such as amounts, dates, and transaction details.
  • Context enrichment: Custom prompts developed jointly by Jump Cube and Ecocarga add business-specific context to the extracted information.
  • Data validation: Automated validations ensure the accuracy and completeness of the extracted data.
  • Integration: The processed data is seamlessly integrated with Ecocarga’s existing financial systems.


Results and Benefits


The implementation of the automated accounts receivable solution delivered significant and measurable benefits for Ecocarga:

Reduced document processing time by 85%, from an average of 12 minutes per document to under 2 minutes
Reduced manual data entry errors by 95%
Generated approximate annual savings of USD $95,000 in employee work hours
Improved cash flow by reducing the accounts receivable cycle by 60%
Increased processing capacity by 400% without the need to add additional staff


About the Partner


Jump Cube is an innovative technology company that emerged from its prototyping lab to become a leading provider of tailored enterprise solutions. Its specialty is developing and implementing generative AI-powered solutions using AWS Cloud services. Through its proprietary low-code platform, Jump Cube enables organizations to rapidly deploy customized solutions that drive business growth and operational efficiency. Its focus on innovation and deep knowledge of AWS services make it a valuable partner for companies seeking to leverage cutting-edge technology for their digital transformation.

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