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// Case Studies · Real Numbers · Real Brands

Food Data Scraping — Real Outcomes, Real Numbers

Real client outcomes with real numbers — UAE QSR chain +18% margin, US grocery -60% stock-outs, UK delivery 6hr→90s reaction, India CPG 18K+ pin codes covered, Gulf Halal 100% compliance, PE diligence saving $60M valuation. All anonymized but unmodified.

// 6 Real Outcomes

Real numbers from real food brands.

Every case study below uses real client metrics. Names anonymized for confidentiality. ROI, scale and timeline shown exactly as delivered.

Cloud Kitchen Data Scraping Case Study — Why Some Dubai Virtual Brands Profit and Others Burn

Client: The client is a UAE-based hospitality investor
Challenge: Pitch decks were strong; underlying data was missing
Solution: A 24-month Dubai cloud kitchen tracker
320
Virtual brands tracked
24mo
Time-series depth
6
ROI patterns identified
$18M
Investment guided

Late-Night Restaurant Data Scraping Case Study — The 11 PM–2 AM Dining Economy Across SEA Capitals

Client: The client is a 24-hour ghost kitchen operator
Challenge: Late-night dining is real — but how big, where, and in which categories?
Solution: A 5-capital late-night dining tracker
$9M
Expansion validated
5
SEA capitals
4,200
Late-night restaurants
11PM-2AM
Time window analyzed

Halal Restaurant Data Scraping Case Study — JAKIM vs MUI vs ESMA Cross-Country Price Comparison

Client: The client is a halal-focused QSR brand
Challenge: Three certifications, three markets, no comparable data
Solution: A cross-market halal premium tracker
3
Markets
9,800
Halal restaurants tracked
18mo
Time-series depth
11-14%
Certification premium range

Franchise Portfolio Data Scraping Case Study — Portfolio Sequencing Across 50 Filipino Outlets

Client: The client is a Philippines multi-brand franchise group
Challenge: Five brands, 17 cities, 50 outlets — and a 12-month launch deadline
Solution: A 5-brand 17-city portfolio sequencer
50
Outlets sequenced
5
Portfolio coverage
89%
Break-even rate
17
PH cities covered

Franchise Restaurant Data Scraping Case Study — Why 1 in 4 New US Restaurant Franchises Close Within 18 Months

Client: The client is a US franchise development firm
Challenge: Franchise failures are studied post-mortem, not predicted
Solution: An 18-month US franchise survival tracker
2800
Franchises tracked
18m
Time-to-close window
6
Failure patterns identified
+38%
Survival lift

Singapore Restaurant Data Scraping Case Study — Restaurant Re-Allocation Across Singapore After Platform Exit

Client: The client is a SEA food delivery platform
Challenge: A 90-day window to capture share — and no targeting data
Solution: A real-time platform-shift migration tracker
8400
Restaurants re-allocated
90 days
Migration window
3
Platforms covered
+18%
Share captured
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