DATZ WORLD HOLDINGS CORP.
02f829a94f324884af206df54c487a6a
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-23T10:52:07.171375+00:00

Business Model Classification Tokens

consumer_acquisition_channel
null
Inferred
Pending — BM Dev Shop classification run
brand_loyalty_index
null
Inferred
Pending — BM Dev Shop classification run
impulse_vs_considered_purchase
null
Inferred
Pending — BM Dev Shop classification run
retail_distribution_reach
null
Inferred
Pending — BM Dev Shop classification run
consumption_unit_definition
null
Inferred
Pending — BM Dev Shop classification run
usage_billing_granularity
null
Inferred
Pending — BM Dev Shop classification run
overage_penalty_structure
null
Inferred
Pending — BM Dev Shop classification run
minimum_commitment_floor
null
Inferred
Pending — BM Dev Shop classification run
metered_margin_profile
null
Inferred
Pending — BM Dev Shop classification run

Business Model Archetype Classification

University of St. Gallen — 55 Business Model Navigator (Gassmann et al.)

SG-047 Shop in Shop HOW High
Direct: business_model_type_primary=Brick-and-mortar restaurant/hospitality; cloud infrastructure termination has negligible direct operational impact — POS and reservation systems are the main exposure.
SG-050
Supermarket
HOW High
SG-036
Product to Capability
WHAT High
SG-049
Subscription
VALUE High

Hybrid Combination

Shop in Shop (SG-047) HOW provides the core structure, combined with Supermarket (SG-050) + Product to Capability (SG-036) + Subscription (SG-049) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 4 Medium: 16 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
Early-stage shell/holding company; likely minimal formal debt, but a 20% rate rise would sharply increase any convertible note or bridge financing costs.
Inferred
Agent_Inference
interest_rate_sensitivity
High sensitivity given probable reliance on short-term convertible instruments; 20% rate increase could raise cost of capital by 300–500 bps on variable obligations.
Inferred
Agent_Inference
geopolitical_supply_exposure
Medium intensity; US-China trade tariffs on metals and components disrupt supply chains.
Medium
GICS-commodity-overlay-v1
supply_chain_dependency
As a food & beverage hospitality operator, primary chokepoints are Florida produce/distribution logistics and imported specialty food ingredients via Miami port.
Inferred
Agent_Inference
international_expansion_readiness
Minimal international revenue currently; negligible sovereign currency devaluation exposure — domestic U.S. operations dominate.
Inferred
Agent_Inference
geographic_footprint
Operations concentrated in Tampa/Miami, Florida, USA; effectively zero direct foreign-currency revenue exposure at current stage.
Inferred
Agent_Inference
commodity_exposure_profile
Medium intensity; commodities: Steel, Aluminum, Copper, Crude Oil (fuel), Rare Earth Elements, Plastics/Resins; geopolitical: US-China trade tariffs on metals and components disrupt supply chains.
Medium
GICS-commodity-overlay-v1
vendor_lock_dependency_score
Single food-service distributors (e.g., Sysco or US Foods) likely represent >30% of COGS; substitutable but switching incurs cost and lead-time risk.
Inferred
Agent_Inference
business_model_type_primary
Brick-and-mortar restaurant/hospitality; cloud infrastructure termination has negligible direct operational impact — POS and reservation systems are the main exposure.
Inferred
Agent_Inference
business_model_type_secondary
Secondary digital ordering/delivery platform dependency (e.g., Toast, OpenTable) poses moderate disruption risk if terminated; recoverable within 30–60 days.
Inferred
Agent_Inference
switching_cost_profile
Low-to-moderate API coupling risk; POS and delivery integrations (Toast, DoorDash) are industry-standard and replaceable within one billing cycle.
Inferred
Agent_Inference
howey_test_risk_index
Primary revenue (restaurant sales) clearly fails Howey Test — no investment contract structure; low securities classification risk.
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Collects customer PII via loyalty/reservation apps; moderate CCPA exposure for California customers, limited GDPR risk given no EU operations.
Inferred
Agent_Inference
antitrust_exposure_flag
Negligible antitrust exposure; single-brand regional restaurant operator with no market-dominant position in any geographic market.
Inferred
Agent_Inference
regulatory_exposure_profile
Medium burden; regimes: FAA, DOT, OSHA, EPA, ITAR, FTC; Export controls and defense procurement rules create contract concentration risk.
Medium
GICS-regulatory-overlay-v1
revenue_model_type
Predominantly transactional (~90%+ of revenue); limited recurring revenue via catering contracts or memberships — high transactional vulnerability.
Inferred
Agent_Inference
monetization_vector
Revenue monetized via per-cover dining spend, event catering contracts, and merchandise/retail; average check size drives unit economics.
Inferred
Agent_Inference
pricing_architecture
Menu-based fixed pricing with limited dynamic capability; commodity input cost inflation directly compresses margins without easy pass-through pricing.
Inferred
Agent_Inference
pricing_power_rating
Moderate-low; upscale positioning allows some price elasticity but Tampa/Miami competitive dining market caps sustainable price increases at ~5–8% annually.
Inferred
Agent_Inference
target_gross_margin_bracket
Typical full-service restaurant gross margin 60–70% on food/beverage; EBITDA margins likely 8–15% at maturity given labor and rent overhead.
Inferred
Agent_Inference
churn_vulnerability_index
No meaningful free-rider leakage; dining is a pay-to-access model. Repeat customer retention depends on experience quality — moderate churn risk.
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is largely headcount-linear; additional locations require proportional FOH/BOH staffing — limited operational leverage without automation.
Inferred
Agent_Inference
marginal_cost_of_growth
New unit growth requires full capital build-out (~$1–3M per location) and commensurate staff; marginal cost of revenue growth is high and location-bound.
Inferred
Agent_Inference
franchise_compliance_risk
No franchise model identified currently; compliance drift risk is not applicable, but franchise expansion would introduce significant franchisee oversight requirements.
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC via social/influencer and local marketing would rise; brand recognition investments needed to sustain acquisition efficiency.
Inferred
Agent_Inference
network_effect_present
Weak network effects; dining reputation benefits from social proof and reviews but does not create defensible platform-style network lock-in.
Inferred
Agent_Inference
asset_efficiency_ratio
-44.0% Return on Assets (Negative equity)
High
SEC-XBRL
recession_resistance_tier
Moderate recession vulnerability; upscale casual dining sees 15–25% revenue declines in downturns as consumers trade down — Tier 3 resilience.
Inferred
Agent_Inference
customer_segment_primary
Primary segment: affluent urban professionals and food enthusiasts in Tampa/Miami metro, ages 28–50, high discretionary spend.
Inferred
Agent_Inference
customer_segment_secondary
Secondary segment: corporate event and private dining clients; concentration risk if top 5 corporate accounts represent >20% of catering revenue.
Inferred
Agent_Inference
characteristic_occupations
["11-0000 Management Occupations", "13-0000 Business and Financial Operations Occupations", "15-0000 Computer and Mathematical Occupations", "17-0000 Architecture and Engineering Occupations", "23-0000 Legal Occupations", "33-0000 Protective Service Occupations", "37-0000 Building and Grounds Cleaning and Maintenance Occupations", "41-0000 Sales and Related Occupations", "43-0000 Office and Administrative Support Occupations", "47-0000 Construction and Extraction Occupations", "49-0000 Installation, Maintenance, and Repair Occupations", "51-0000 Production Occupations", "53-0000 Transportation and Material Moving Occupations"]
High
SOC-2018/GICS-overlay
agent_automatable_labor_share
0.3 (HIL — ~30% of characteristic roles agent-automatable)
Medium
SOC-2018 + agentic-exposure-v1
capital_expenditure_profile
Capital currently directed toward new location build-outs and brand infrastructure; legacy-to-future reallocation not yet relevant at current scale.
Inferred
Agent_Inference
sec_cik
0001854463
Inferred
Agent_Inference
ticker
DATZ — thinly traded OTC/pink sheet stock; likely reflects speculative discount due to illiquidity and early-stage holding company structure rather than commodity risk premium.
Inferred
Agent_Inference

Business Model Components

Core Space

> *Pending Turn 2 — Business Model Type Agent population.*

Interaction Modes

> *Pending Turn 2 — Business Model Type Agent population.*

Product Matrix

> *Pending Turn 2 — Business Model Type Agent population.*

Historical Evolution Log

Live Operational Signals

Signal DateSignal TypeSummary
Source

Evaluation Gate — Persona Stress Tests

SKILL_BUFFETT_VAL_03PASS2026-07-23no unmet atoms among this persona's authored questions
SKILL_LEGAL_SEC_01PASS2026-07-23no unmet atoms among this persona's authored questions
SKILL_SHORT_BEAR_01PASS2026-07-23no unmet atoms among this persona's authored questions
SKILL_MACRO_STRAT_01PASS2026-07-23no unmet atoms among this persona's authored questions
SKILL_OPS_PARTNER_01PASS2026-07-23no unmet atoms among this persona's authored questions

Live Status

No Live Status block found.