2026
PetaAI — Nemu
AI-powered franchise and property site-selection tool. Score and rank candidate locations for retail expansion, franchise rollout, or rental-property investment using weighted ML models.
Challenge
Franchise operators, retail chains, and property investors had no fast, data-driven way to compare candidate sites across factors like demand, competition, demographics, and accessibility.
Solution
Built Nemu — a ranking engine that ingests location inputs and produces a scored shortlist of recommended sites, exposed through an interactive demo dashboard.
Features
- Nemu site-ranking module that scores 100 candidate sites with tier labels and written justifications
- Weighted ML model ('Model ML') with adjustable algorithm parameters per use case
- Franchise-location analysis specifically tuned for retail expansion and rental-property investment (kos-kosan)
- Enterprise plan that exposes a public REST API for integrating the scoring engine into other systems
- Roles covered: Franchise Investors, Property Developers, Franchise Business Owners
Architecture
Web product at petaai.id. The site publicly references a weighted ML model and a REST API on the enterprise tier; no framework, mapping SDK, cloud provider, or model architecture is named on the public site.