AI Cost Consultancy SaaS
Budget: $250 – $750 USD
I’m building a Korean-focused, AI-powered SaaS that helps cost consultants see instantly how one project’s spend stacks up against another. The core engine I need you to develop is the data-reporting layer: it should ingest cost data, recognise patterns, and output clear comparative analysis reports in both Korean and English.
Here’s what success looks like to me:
• A secure, multi-tenant web app (cloud-hosted) where cost consultants can upload raw cost sheets or connect to existing databases.
• An AI module—leveraging Python, TensorFlow/PyTorch or a similar framework—that cleans the data, flags outliers, and delivers side-by-side cost comparisons at the click of a button.
• Dynamic dashboards built with React (or Vue) plus a charting library such as D3 or Highcharts, all fully localised for Korean users.
• Role-based access so a consulting firm can switch between projects without exposing client-specific numbers.
• A REST or GraphQL API for future integrations.
Acceptance criteria
1. Upload 5+ sample projects and generate a Korean/English comparative report in under 30 seconds.
2. Charts must highlight highest variance items automatically.
3. All text strings pass a native-speaker QA for Korean.
If you’ve shipped SaaS apps before—especially anything analytics-heavy—and you’re comfortable weaving AI into production, I’d love to see how you’d attack this build and what tech stack you’d propose.
Here’s what success looks like to me:
• A secure, multi-tenant web app (cloud-hosted) where cost consultants can upload raw cost sheets or connect to existing databases.
• An AI module—leveraging Python, TensorFlow/PyTorch or a similar framework—that cleans the data, flags outliers, and delivers side-by-side cost comparisons at the click of a button.
• Dynamic dashboards built with React (or Vue) plus a charting library such as D3 or Highcharts, all fully localised for Korean users.
• Role-based access so a consulting firm can switch between projects without exposing client-specific numbers.
• A REST or GraphQL API for future integrations.
Acceptance criteria
1. Upload 5+ sample projects and generate a Korean/English comparative report in under 30 seconds.
2. Charts must highlight highest variance items automatically.
3. All text strings pass a native-speaker QA for Korean.
If you’ve shipped SaaS apps before—especially anything analytics-heavy—and you’re comfortable weaving AI into production, I’d love to see how you’d attack this build and what tech stack you’d propose.
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