LOGPROSTYLE INC.
661be970a38a48b482beb3bc2a940251
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-23T04:48:11.173532+00:00

Business Model Classification Tokens

contract_cycle_length
null
Inferred
Pending — BM Dev Shop classification run
enterprise_sales_motion
null
Inferred
Pending — BM Dev Shop classification run
procurement_complexity
null
Inferred
Pending — BM Dev Shop classification run
vendor_lock_coefficient
null
Inferred
Pending — BM Dev Shop classification run
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-037 Product as a Service VALUE High
Direct: monetization_vector contains [Primary monetization via curated product sales with styling fee offset; secondary through subscription membership revenue stream]; pricing_architecture=Tiered subscription plus à la carte product pricing; vulnerable to discount pressure from Stitch Fix/Amazon StyleSnap at scale. Corroborated: revenue_model_type=Estimated 40-60% recurring (subscription styling boxes/retainers); remainder transactional one-time purchases; mix typical for styling-box models
SG-049
Subscription
VALUE High
SG-009
Customer Loyalty
WHO High
SG-014
Flat Rate
VALUE High
SG-036
Product to Capability
WHAT High
SG-010
Digitization
WHAT High
SG-012
E-commerce
HOW High

Hybrid Combination

Product as a Service (SG-037) VALUE provides the core structure, combined with Subscription (SG-049) + Customer Loyalty (SG-009) + Flat Rate (SG-014) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 10 Medium: 16 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
Small private logistics/styling firm; estimated debt-to-equity below 1.5x; 20% rate rise adds ~15-20% to interest expense burden
Inferred
Agent_Inference
interest_rate_sensitivity
Variable-rate debt exposure moderate; 20% rate increase likely compresses net margin by 2-4 percentage points given thin logistics margins
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
Southeast Asian textile manufacturing hubs and Trans-Pacific shipping lanes (LA/Long Beach port congestion) are primary chokepoints
Inferred
Agent_Inference
international_expansion_readiness
Limited international footprint; sovereign currency devaluation exposure minimal; primarily USD-denominated domestic operations
Inferred
Agent_Inference
geographic_footprint
Predominantly North American; limited top-three international revenue markets; low foreign exchange devaluation exposure currently
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
Likely dependent on 1-2 key logistics platforms (e.g., ShipBob, FedEx API); single vendor may exceed 30% of operational input cost
Inferred
Agent_Inference
business_model_type_primary
E-commerce/styling subscription platform; cloud termination would cause 3-7 day critical outage; migration complexity moderate
Inferred
Agent_Inference
business_model_type_secondary
Secondary model likely B2B styling consulting or wholesale; less cloud-dependent but inventory management systems at risk
Inferred
Agent_Inference
switching_cost_profile
Moderate API coupling risk; styling algorithm and inventory APIs create switching friction; estimated 60-90 day migration timeline
Inferred
Agent_Inference
howey_test_risk_index
Low Howey Test risk; revenue model based on product/service sales, not investment contracts; no token or profit-sharing structure identified
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Moderate GDPR/CCPA exposure; collects style preference, purchase, and personal data; compliance investment likely underfunded at current scale
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; operates in fragmented apparel/styling market; no dominant market share position warranting regulatory scrutiny
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
Estimated 40-60% recurring (subscription styling boxes/retainers); remainder transactional one-time purchases; mix typical for styling-box models
Inferred
Agent_Inference
monetization_vector
Primary monetization via curated product sales with styling fee offset; secondary through subscription membership revenue stream
Inferred
Agent_Inference
pricing_architecture
Tiered subscription plus à la carte product pricing; vulnerable to discount pressure from Stitch Fix/Amazon StyleSnap at scale
Inferred
Agent_Inference
pricing_power_rating
Moderate pricing power; brand differentiation limited; 10-15% price increase likely triggers 20-30% churn in price-sensitive segments
Inferred
Agent_Inference
target_gross_margin_bracket
Estimated gross margin 35-50%; apparel curation businesses typically 40-45%; logistics costs compress toward lower end
Inferred
Agent_Inference
churn_vulnerability_index
Moderate free-rider risk; users may exploit styling consultations then purchase elsewhere; style quiz data not fully monetization-protected
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth partially headcount-sublinear via algorithmic styling; warehouse/fulfillment scaling remains near-linear with volume
Inferred
Agent_Inference
marginal_cost_of_growth
Technology-enabled styling component scales well; physical fulfillment marginal cost remains $8-15 per incremental order at scale
Inferred
Agent_Inference
franchise_compliance_risk
No franchise network identified; compliance drift risk not applicable to current operating model
Inferred
Agent_Inference
customer_acquisition_metric
CAC likely $45-90 currently; at 10x scale, paid social CAC inflation could push to $120-180 without organic/referral channel maturation
Inferred
Agent_Inference
network_effect_present
Weak direct network effects; data network effect possible via styling algorithm improvement; not a strong defensible moat currently
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk moderate-high; styling recommendation engine automatable; human stylist roles (if any) vulnerable within 3-5 years
Inferred
Agent_Inference
recession_resistance_tier
Tier 3 recession sensitivity; apparel styling subscriptions are discretionary; expect 25-40% revenue decline in severe recession scenario
Inferred
Agent_Inference
customer_segment_primary
Primary segment: fashion-conscious women aged 25-45, middle-to-upper income; concentration risk if top 20% of customers drive 60%+ revenue
Inferred
Agent_Inference
customer_segment_secondary
Secondary segment: corporate professional wardrobe clients or gift subscription buyers; lower LTV, higher seasonal churn profile
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
Capex likely skewed toward technology platform and inventory management; insufficient evidence of legacy-to-future reallocation discipline
Inferred
Agent_Inference
sec_cik
0002040290
High
SEC-EDGAR
ticker
LGPS
High
SEC-EDGAR

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.