For manufacturing and engineering teams, calculating part costs by hand does not scale as product lines grow, and small errors compound quickly across quotes and budgets. Automating cost retrieval and calculation removes that dependency on manual lookups, giving procurement and finance teams a reliable, repeatable way to price parts. The practical upside is faster quoting, fewer costing errors, and more time for the team to spend on sourcing decisions instead of recalculating numbers a system can produce instantly.
Full-stack,Automation
Cost Program
Built an interactive cost calculation platform that computes prices based on user input, analyzing multiple layers and parameters to provide accurate cost estimates.
Tech Stack
Technologies Used
Tools and platforms used to build this solution.
FastAPI
React
Python
NumPy
Process
How It Works
A closer look at the workflow behind the results.
1
Part Number Input
The user enters or selects a part number through the React interface, triggering a request for cost calculation.
2
Automated Data Retrieval
The FastAPI backend queries the database and NumPy runs the cost calculations against the user's inputs.
3
Instant Cost Output
The calculated price is returned to the user instantly in the interface, with no manual lookups or spreadsheet work.
Metrics
Results & Impact
Measurable outcomes that demonstrate the value delivered.
Generated accurate cost estimates for 1,000+ parts
Cut manual costing time by 80%, saving ~20+ hours/week for the team
Added detailed, part-level cost visibility for the team
Increased operational efficiency by 3× through automated calculations
Why It Matters
Business Impact
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