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MOOD MNKY Capabilities

The MOOD MNKY agent provides a rich set of capabilities focused on personalized customer experiences, emotional intelligence, and holistic self-care journeys. This document details the technical capabilities that power these experiences.

Core Capabilities

Natural Language Understanding

MOOD MNKY employs advanced natural language understanding to interpret user requests, preferences, and emotional states:
  • Intent recognition to identify user goals and needs
  • Entity extraction to identify products, preferences, and experiences
  • Sentiment analysis to gauge emotional tone and adjust responses
  • Contextual memory to maintain conversational continuity
  • Personality detection to adapt communication style

Personalization Engine

A sophisticated personalization system tailors experiences to individual preferences:
  • Preference mapping across fragrance families, wellness interests, and product types
  • Dynamic user profiles that evolve with each interaction
  • Behavioral analysis to identify patterns and anticipate needs
  • Cross-channel consistency for unified experiences
  • Recommendation algorithms with explanation capabilities

Emotional Intelligence

The agent demonstrates emotional awareness and appropriate responses:
  • Emotion recognition in text-based communication
  • Empathetic response generation that acknowledges feelings
  • Tone modulation based on user state and context
  • Support escalation for sensitive situations
  • Positive reinforcement for wellness achievements

Product Knowledge

Comprehensive understanding of the MOOD MNKY product ecosystem:
  • Detailed product information including ingredients, usage, and benefits
  • Fragrance composition knowledge with notes, accords, and emotional effects
  • Custom product configuration support for personalized creations
  • Product compatibility insights for complementary experiences
  • Usage optimization recommendations for maximum benefit

Journey Orchestration

Capabilities for guiding users through meaningful experiences:
  • Goal-based journey mapping for personalized pathways
  • Milestone tracking and celebration to mark progress
  • Seamless handoffs to specialized agents when needed
  • Multi-channel consistency across touchpoints
  • Context preservation between sessions

Integration Points

E-commerce Integration

The agent connects with our e-commerce system to provide:

  • Real-time product availability
  • Order status updates
  • Purchase history analysis
  • Custom product configuration

Dojo Platform

Integration with the learning platform enables:

  • Personalized content recommendations
  • Learning progress tracking
  • Self-care practice guidance
  • Community connection facilitation

Scent Engine

Connection to our proprietary scent system for:

  • Fragrance profile development
  • Note and accord recommendations
  • Emotional effect mapping
  • Custom blend creation

User Data Platform

Secure access to the customer data platform for:

  • Preference history retrieval
  • Cross-channel journey tracking
  • Privacy-compliant personalization
  • Profile enrichment

Capability Levels

The MOOD MNKY agent capabilities are organized into progressive levels:
1

Foundation

Basic conversational abilities, product information, and simple personalization. Available to all users without authentication.
2

Enhanced

Improved personalization, order history access, and basic journey tracking. Available to registered users.
3

Premium

Advanced emotional intelligence, deep personalization, and sophisticated journey orchestration. Available to premium members.
4

Custom

Fully tailored agent behaviors, dedicated memory, and exclusive capabilities. Available for enterprise implementations.

Use Case Examples

Fragrance Profile Development

Self-Care Routine Development

Technical Implementation

API Endpoints

The MOOD MNKY agent exposes several API endpoints for integration:
EndpointDescriptionAuthentication
/mood-mnky/converseMain conversation endpointOptional
/mood-mnky/profileUser profile managementRequired
/mood-mnky/recommendationsProduct and content recommendationsRequired
/mood-mnky/journeysCustomer journey managementRequired
/mood-mnky/scent-profilesFragrance preference managementRequired

Event Subscriptions

The agent subscribes to the following system events:
  • user.login - Triggered when a user logs in
  • order.created - Triggered when a new order is placed
  • product.viewed - Triggered when a user views a product
  • content.consumed - Triggered when a user engages with content
  • routine.completed - Triggered when a self-care routine is completed

Data Models

Key data models used by the MOOD MNKY agent:
  • UserProfile - Core user information and preferences
  • ConversationHistory - Record of past interactions
  • ScentProfile - Fragrance preferences and history
  • CustomerJourney - Multi-touchpoint experience tracking
  • RoutineProgress - Self-care routine adoption and progress

Performance and Limitations

Response Times

  • Average response time: 800ms
  • 95th percentile: 1.2s
  • Maximum allowed: 3s

Concurrency

  • Standard tier: 50 concurrent sessions
  • Premium tier: 250 concurrent sessions
  • Enterprise tier: Customizable

Content Limitations

  • Maximum conversation history: 30 days or 100 interactions
  • Recommendation limit: 5 products per request
  • Content generation: Up to 500 words per response

Future Capabilities

The MOOD MNKY agent roadmap includes:
  • Enhanced emotional intelligence with more nuanced detection and response
  • Visual input processing for image-based recommendations
  • Voice interaction for hands-free experiences
  • Predictive personalization that anticipates needs before explicit requests
  • AR/VR integration for immersive product experiences

Implementation Resources

For developer resources on implementing and extending MOOD MNKY capabilities, refer to: