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Site Inspection using AI

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realestate and economic development
Realestate using AI
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Precise Execution With AI

Every economic development team knows the bottleneck: gather requirements, manually review hundreds of candidate locations across different data sources, and spend weeks producing a shortlist before any meaningful comparison can begin. SiteScout AI compresses that process into minutes. Teams enter an industry focus and risk tolerance, and the platform instantly surfaces a ranked global site map — each candidate scored for industrial match, flagged with available incentive packages in dollar terms, and rated for supply chain risk. A Strategic Fit Analysis panel displays the top three recommended sites with match scores and plain-language rationale, so decision-makers arrive at the shortlist stage with structured evidence rather than instinct.

Supply Chain Risk

Selecting a site without understanding its supply chain exposure is how projects encounter costly operational surprises after launch. SiteScout’s Supply Chain Risk module runs a six-category assessment — Port Risk, Rail Risk, Road and Last Mile, Supplier Ecosystem, Natural Disaster, and Geopolitical — and returns a composite Resilience Score out of 100 with urgency classification. Each risk category expands to show a scored gauge, risk evidence drawn from live logistics data, and a specific mitigation strategy with actionable timelines. For the EV Battery Manufacturing evaluation shown, the Supplier Ecosystem and Rail Risk categories triggered immediate escalation, with the platform generating a COO-level recommendation to commission a site-specific logistics audit and implement dual-sourcing protocols within 90 days.

Scenario Simulation Engine

Understanding which site scores highest today is useful. Understanding which site remains viable under different operational assumptions — scaled volume, higher automation, or a different target market — is what separates a durable decision from one that unravels at the planning stage. SiteScout’s Scenario Simulation Engine lets teams set target market, annual volume, and automation level using live sliders, then compares any combination of candidate sites across Logistics, Workforce, Infrastructure, Incentives, and Environmental Safety dimensions simultaneously. Composite Viability scores update in real time, and a side-by-side bar chart makes trade-offs immediately legible. Teams can run ten scenarios in the time it previously took to set up a single spreadsheet model.

Technologies Used

  • Platform:  Next.js 16 (App Router), React 19
  • AI Models:  OpenAI GPT-4o (analysis, scoring) + Google Gemini + Anthropic SDK
  • Database:  Firebase — Auth, Firestore, Cloud Storage
  • Forms: React-hook-form, Zod validation, Papaparse (CSV import)
  • Infrastructure: Vercel Edge Network
  • Industries:  Economic Development, Industrial Site Selection, Real Estate Strategy