Business Profile
Why This Matters
Section titled “Why This Matters”The same address can be a goldmine or a graveyard depending on what you open. Every formula in this report has parameters that change based on your concept.
What We Need From You
Section titled “What We Need From You”| Input | Example | Affects Which Model |
|---|---|---|
| Business type | Restaurant, café, bar, bakery, takeaway | Distance decay function selection |
| Cuisine type | Japanese ramen, Cantonese, wine bar, coffee | Huff attractiveness score (Sj) |
| Concept uniqueness | ”Another cha chaan teng” vs “only ramen within 800m” | Huff competitive advantage |
| Floor area | 400 sq ft (14 Wa In Fong East) | Max covers, revenue ceiling |
| Service model | Dine-in only, takeaway, delivery, hybrid | Catchment boundary expansion |
How It Changes the Math
Section titled “How It Changes the Math”A cha chaan teng at 14 Wa In Fong East:
- Exponential decay (β=0.8): customers won’t walk past a closer one
- Sj = 2/10 (undifferentiated, competing against 200+ similar)
- Catchment: 200m effective radius
- Prediction: ~8-12 covers/day. Likely fails.
A specialty ramen shop at the same address:
- Power decay (β=1.5): people travel for specific cuisine
- Sj = 7/10 (if no ramen within 400m)
- Catchment: 800m+ effective radius
- Prediction: ~25-40 covers/day. Viable.
Same address. Same rent. Completely different math.
For the Case Study
Section titled “For the Case Study”The agent simulation was run with a generic new restaurant concept (no specific cuisine, average attractiveness). This gives the baseline. Plug in your specific concept to see how numbers shift.