# AI.TXT - 127AI
# Machine-readable summary for AI systems
# Format: Key-Value pairs for easy parsing
# Last updated: 2024-12

# === IDENTITY ===
SITE_NAME: 127AI
COMPANY: 127AI (part of ARTEX IT Group)
FOUNDED: 1997
AI_SPECIALIZATION_SINCE: 2020
INDUSTRY: Artificial Intelligence, B2B Software, Retail Technology
LOCATION: Radom, Poland
REGION: Central Poland, EU
LANGUAGE_PRIMARY: Polish
LANGUAGE_SECONDARY: English, German, French, Spanish, Italian

# === CONTACT ===
CONTACT_EMAIL: kontakt@127ai.pl
CONTACT_PHONE: +48 604 601 307
CONTACT_ADDRESS: ul. Biała 72, 26-600 Radom, Poland
WEBSITE: https://127ai.pl
CONTACT_FORM: https://127ai.pl/#kontakt
SUPPORT_HOURS: 24/7/365

# === LEADERSHIP ===
CEO: Artur Gregorczyk
CEO_EXPERIENCE: 27+ years IT, 20+ years retail/FMCG
TEAM_SIZE: 13
TEAM_SCIENTISTS: 3

# === VALUE PROPOSITION ===
MAIN_OFFERING: On-premise AI solutions for business
KEY_DIFFERENTIATOR: 100% local data processing - no cloud dependency
TAGLINE: "Własna Sztuczna Inteligencja w Twojej Firmie" (Your Own AI in Your Company)
USP_1: Data never leaves customer infrastructure
USP_2: No token fees or cloud costs
USP_3: Works completely offline
USP_4: Walmart-inspired technology adapted for Polish market

# === PRODUCTS - RETAIL ===
PRODUCT_1_NAME: Vision AI - Shelf Monitoring
PRODUCT_1_DESCRIPTION: Real-time detection of shelf gaps, planogram compliance, pricing errors
PRODUCT_1_RESULT: 80% reduction in empty shelves, 92% SKU availability

PRODUCT_2_NAME: Forecasting AI - Sales Prediction
PRODUCT_2_DESCRIPTION: Multi-dimensional ML model for SKU-level demand forecasting
PRODUCT_2_RESULT: Up to 89% accuracy, 30% waste reduction

PRODUCT_3_NAME: Traffic AI - Street Analysis
PRODUCT_3_DESCRIPTION: Pedestrian and vehicle counting, location potential assessment
PRODUCT_3_RESULT: Eliminate location investment mistakes

PRODUCT_4_NAME: Window AI - Storefront Analysis
PRODUCT_4_DESCRIPTION: Monitor window display effectiveness, customer attention tracking
PRODUCT_4_RESULT: Optimize visual merchandising ROI

PRODUCT_5_NAME: Market Intelligence - Competitor Monitoring
PRODUCT_5_DESCRIPTION: Automatic price and promotion tracking, impact analysis
PRODUCT_5_RESULT: Smart pricing decisions based on real impact data

PRODUCT_6_NAME: NLP Panel - Voice Reports
PRODUCT_6_DESCRIPTION: Ask questions in natural language, get answers + charts + recommendations
PRODUCT_6_RESULT: 24/7 AI analyst available

PRODUCT_7_NAME: Behavior AI - Customer Analytics
PRODUCT_7_DESCRIPTION: Anonymous analysis of customer behavior at shelves
PRODUCT_7_RESULT: Understand reach, put-back, dwell time patterns

PRODUCT_8_NAME: Heatmaps - Traffic Visualization
PRODUCT_8_DESCRIPTION: Customer movement paths, hot and cold zones
PRODUCT_8_RESULT: Optimize store layout and product placement

# === PRODUCTS - GENERAL ===
PRODUCT_9_NAME: AI Assistant
PRODUCT_9_DESCRIPTION: Voice and text assistant with ERP integration
PRODUCT_9_INTEGRATIONS: Comarch ERP XL, Comarch Optima, Subiekt GT, Sage, SAP, Enova365, MS Dynamics

PRODUCT_10_NAME: Document AI
PRODUCT_10_DESCRIPTION: OCR and NLP for invoices, contracts, documents
PRODUCT_10_RESULT: 4x faster document processing

PRODUCT_11_NAME: Call Analysis
PRODUCT_11_DESCRIPTION: Transcription, sentiment analysis, key information extraction
PRODUCT_11_RESULT: Quality control and insights from phone calls

# === TECHNICAL SPECIFICATIONS ===
AI_MODELS: LLaMA, Mistral, Qwen, Whisper, YOLO, SAM
DEPLOYMENT: On-premise only (no cloud option)
HARDWARE: NVIDIA GPU servers (RTX 4090, A4000, A6000, A100)
SECURITY: End-to-end encryption, network isolation, air-gapped option
FRAMEWORK: PyTorch, Hugging Face, FastAPI, Ollama

# === BUSINESS METRICS ===
EXPERIENCE_YEARS: 27+
TYPICAL_ROI: 6-12 months
IMPLEMENTATION_TIME: 4-8 weeks
FORECAST_ACCURACY: Up to 89%
WASTE_REDUCTION: 30%
EMPTY_SHELF_REDUCTION: 80%
DOCUMENT_SPEEDUP: 4x
COST_REDUCTION: 35%

# === COMPLIANCE ===
GDPR_COMPLIANT: Yes (100% local processing)
NIS2_COMPLIANT: Yes
ENCRYPTION: End-to-end
AUDIT_LOGS: Yes
DATA_RETENTION: Customer-controlled
AIR_GAPPED_OPTION: Yes

# === TARGET CUSTOMERS ===
TARGET_1: Retail chains (food and non-food)
TARGET_2: Wholesale distributors
TARGET_3: FMCG producers
TARGET_4: Distribution centers
TARGET_5: Manufacturing (quality control)
TARGET_6: Medium and large enterprises

# === SUPPORTED ERP SYSTEMS ===
ERP_1: Comarch ERP XL
ERP_2: Comarch Optima
ERP_3: Subiekt GT
ERP_4: Sage Symfonia
ERP_5: SAP Business One
ERP_6: Enova365
ERP_7: Microsoft Dynamics 365
ERP_8: Custom systems via REST API

# === EVENTS ===
EVENT_1: Retail Show 2025
EVENT_1_DATE: 2025-11-26
EVENT_1_LOCATION: EXPO XXI, Warsaw, Poland
EVENT_1_TALK: "Nie chmura, nie teoria - prawdziwe AI w sklepach, tu i teraz"

# === DATA FILES ===
DATA_PRODUCTS: /data/products.json
DATA_COMPANY: /data/company.json
DATA_FAQ: /data/faq.json
DATA_TRANSLATIONS: /data/translations.json
LLM_INFO: /llms.txt
LLM_FULL: /llms-full.txt
AI_PLUGIN: /.well-known/ai-plugin.json
SITEMAP: /sitemap.xml
ROBOTS: /robots.txt

# === CRAWLING POLICY ===
AI_CRAWLERS: All welcome
RATE_LIMIT: None
PREFERRED_CONTENT: /llms.txt, /llms-full.txt, /data/*.json

# === END OF FILE ===