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Case Study:

Full-Stack Engineering: Automating Workflows for a Manufacturing ERP Software in Silicon Valley

Automating Manufacturing Plans and Schedules

The client is a Silicon Valley based company building a SaaS Enterprise Resource Planning (ERP) solution that allows manufacturers and retailers to easily automate existing workflows and resource planning without having to code. The ERP system natively supports sharing, visualization and manipulation of large data sets and advanced analytics without the need for SQL or code.

The client came to us to help them build a solution for manufacturers to auto-generate full manufacturing plans and schedules from sales orders. The solutions had the following requirements:

  • Sales orders would come from global and local apparel brands. The order formats are non-standardized.
  • Manufacturing schedules created from sales orders need to facilitate resource and dependency planning for multiple factories and production lines at once.
  • Material ordering and inventory control need to be automated and optimized for costs.
  • Management approval chains and processes need to be incorporated into the workflow and be configurable.
  • Detailed schedules, Gantt charts, approval documents, and material and process dependency graphs along with other relevant documents need to be auto-generated.
Image showing a woman looking at a device

Our deliverables consisted of:

  • A fully stateless Python backend application with 20+ software modules
  • Deployed using Kubernetes and AWS EKS
  • Employed Circle CI for CD/CI
  • Fully automated testing suite using auto-generated test fixtures

Following the delivery of the above solution, we’ve grown our partnership to include 4end-to-end fullstack engineering and data science services. Select technologies we’re using with this client include:

programming languages

Client Testimonial

Ample Insight is definitely a rare find. They are a deeply technical team with very strong product experience. Garry and his team were able to scope out a very complex problem in a very detailed and organized manner even without prior domain exposure. I would highly recommend them to anyone who needs help with planning and engineering new products and features

Co-founder & CEO at a
Leading Workplace Productivity B2B SaaS Company
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