- AWS Advanced Tier Services Partner
- Established 1999
Software Development Case Studies
These software development case studies cover projects JBS Dev delivered in AI, cloud, data, and custom software. Each one names the problem, the systems involved, what we built, and the result.
WHAT THEY SHOW
What Our Case Studies Show
Each JBS Dev case study covers one delivered project: the client's problem, what we built, and the result.
The projects include agentic and generative AI, machine learning, cloud migration, legacy modernization, data platforms, and web and mobile applications. Many connect to systems the client already ran, such as FIS DataConnection at a regional bank or Epic medical records at a healthcare technology company.
Most run on AWS, with services such as Amazon Bedrock, AWS Lambda, and Amazon SageMaker. Some run on Microsoft Azure.
Named and anonymized clients
Some case studies name the client, such as Wine Access or Tidal Basin. Others describe the client by industry, such as a regional bank. Both report the same kind of project facts and results.
FEATURED
Featured Results
Three projects from three industries, with the numbers from their case studies.
30,000
Records a day, with no manual work
Financial Services
Automating 30,000 Daily Records for a Regional Bank
Challenge: Staff moved about 30,000 records a day from FIS DataConnection to ActiveCampaign by hand, after two to three years of failed automation attempts.
Result: An AWS Lambda and Python pipeline now runs the transfer daily with no manual work, delivered in just under four months.
Read the regional bank case study100+
Jobs moved to Azure in 213 days
Restaurants
Integration Platform Migration for a Top Worldwide Restaurant Chain
Challenge: A costly, unreliable proprietary workflow platform was nearing contract expiration.
Result: More than 100 jobs moved to VisualCron, SSIS, and .NET Azure APIs in 213 days, with estimated annual savings in the hundreds of thousands of dollars.
Read the restaurant chain case study85-90%
Forecast accuracy on Amazon SageMaker
Manufacturing
Generative AI Sales Forecasting for a Manufacturer
Challenge: Traditional statistical models couldn't forecast product-level demand accurately, causing both excess inventory and shortages.
Result: A generative AI time-series model on Amazon SageMaker consistently reached 85 to 90% forecast accuracy, outperforming earlier statistical and machine learning methods.
Read the manufacturer forecasting case study"JBS feels more like an extension of our internal team than a traditional vendor relationship."
Senior IT Leader, AmeriVet Partners
ALL CASE STUDIES
Browse All Case Studies
Here are 34 JBS Dev case studies, one card per delivered project. Each card links to the full case study.
Case study
Taking a Data Warehouse to the Finish Line for a Global Testing Organization
How JBS Dev helped a global educational testing organization complete its data warehouse and improve access to business data.
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Case study
Securing a Consumer Website and Mobile App from Potential Cyberattacks by Using AWS Services
How JBS Dev helped Piñata strengthen its website and mobile app against API attacks using AWS services.
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Case study
Petco: A cross platform mobile ecommerce experience
See how JBS Dev helped Petco accelerate development and launch a cross-platform mobile ecommerce experience for its customers.
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Case study
Modernizing and Centralizing Legacy HR Applications for a Federal Agency
How JBS Dev modernized and centralized legacy HR applications for USDA's Food Safety and Inspection Service.
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Case study
Innovative Large Multi-Tenanted System Solution Delivers Real-Time Analytics to Analyze, Assess, and Manage Risk
How JBS Dev built a multi-tenant platform for peer-to-peer loan analytics, with reporting and portfolio metrics for financial services users.
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Case study
EdTech Platform Modernization
How JBS Dev helped a large educational nonprofit modernize its digital learning platform and deliver online curriculum materials.
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Case study
Developing A Minimum Viable Product
How JBS Dev worked with Noodle Partners to develop a minimum viable product for higher education data needs.
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Case study
Delivering Transparency and Savings to the Prescription Drug Market
How JBS Dev helped Scripta Insights upgrade its healthcare technology platform for prescription drug transparency and savings.
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Case study
Curbside Pickup Deployed In Six Weeks To Meet Rapid Shift In Consumer Shopping Habits
How JBS Dev helped Petco add curbside pickup to its mobile ecommerce app in six weeks as customer shopping habits changed.
Read case study
BY INDUSTRY
Case Studies by Industry
Each industry page shows its case studies next to the systems and problems common in that industry.
FAQ
Case Study FAQs
What do JBS Dev's software development case studies cover?
They cover projects JBS Dev delivered in agentic and generative AI, machine learning, cloud migration, legacy modernization, data platforms, systems integration, and web and mobile applications. Each one states the client's problem, the systems involved, what we built, and the result. Industries include manufacturing, healthcare, retail, financial services, logistics, real estate, automotive, and education.
Why don't some case studies name the client?
We name a client only with its approval. When a client isn't named, the case study describes it by industry and size, such as a regional bank or a top worldwide restaurant chain, and keeps the project facts the same. Every metric stays with the project it came from, including qualifiers such as "about" or "estimated."
How long did these projects take?
It varied with scope. The regional bank's daily records pipeline took just under four months. The restaurant chain's integration migration moved more than 100 jobs in 213 days. Petco's curbside pickup launched in under six weeks. For your project, an assessment sets the timeline before work starts.
Do you have a case study in my industry?
The case studies cover manufacturing, healthcare and life sciences, retail and QSR, financial services, logistics, real estate, automotive, and education, plus public sector and professional services work. If your industry isn't listed, most of the work still applies: modernizing applications, connecting systems, building data platforms, and adding AI with people reviewing its output.
