HIM (Holistic Intelligence for Merchants)

HIM - Holistic Intelligence for Merchants

The Problem :
Independent retail merchants ($50K-$500K annual revenue) are trapped in operational work : managing inventory, serving customers, handling logistics, with zero time for data analysis, marketing, or strategic planning. They need data-driven growth strategies but lack both time and expertise. 78% of small retailers cite “lack of time” as their #1 growth barrier.
The Solution :
HIM is an autonomous AI business copilot that analyzes merchant data 24/7, identifies revenue opportunities, creates actionable plans, and executes marketing campaigns, all through natural voice and text conversations. Merchants interact hands-free while restocking shelves, serving customers, or commuting, making business intelligence truly mobile.

Core Features & Demo Flow

1. Voice-First Analysis

Merchant asks: “How’s my business today?”
HIM responds: “Revenue up 12%. I detected $2,400 in abandoned carts 30% recoverable. Should I launch recovery campaign?”
Merchant approves by voice. Campaign executes automatically.

2. Autonomous Action Planning

Continuously monitors metrics (revenue, conversion, inventory, customers)
Detects opportunities (abandoned carts, dormant customers, seasonal trends)
Creates detailed plans with ROI, timeline, and execution steps
Writes actions directly to merchant’s TODO list database

3. Multi-Channel Execution

Creates email campaigns, social posts, promo codes
Adjusts pricing and product recommendations
Real-time updates: “✅ Campaign created → 127 emails scheduled → Tracking live”

Narrative :
Sophie, a boutique owner, is restocking when HIM alerts: “$2,400 in abandoned carts recoverable, launch email campaign?” Sophie says “Yes” hands-free. Two minutes later: campaign live. Next day: $680 recovered, 7x ROI in 24 hours.

Judging Criteria :
✅ Execution & Functionality
Fully Working :

• Complete conversational AI (text + voice) operational
• Voice interface with natural speech (French/English)
• Separate support agent for assistance
• Real-time merchant data analysis (RT input for the agent VS Fixed merchants knowledge inputs)
  Not working yet :
• Real-time merchant data analysis (RT input for the agent VS Fixed merchants knowledge inputs) in voice mode
• Autonomous action plan generation with database persistence
• Great performance

Technical Stack :
Multi-agent orchestration (analysis + support agents)
Bi-directional data flow (read context → write actions)
Database-driven TODO system with Row Level Security
N8N automation for feedback loops

🤖 AI & Agents Usage
Agent Architecture :
Primary Agent (HIM Core) : Mistral Large via Dust.tt for data analysis, decision-making, and action planning. Autonomous opportunity detection with proactive alerts.
Support Agent : ElevenLabs conversational AI for onboarding and troubleshooting with knowledge base retrieval.

Autonomous Logic :
Query merchant_data + metrics
→ Detect anomalies (revenue drops, stock issues)
→ Calculate opportunity value
→ Generate action plan automatically
→ Write to database
→ Notify merchant

Priority = (Revenue Impact × Confidence) / Time to Execute
Integration failures → Use cached data, notify merchant
Low confidence → Always flag uncertainty, request approval

📈 Scalability (One-Person Model)
Why It Scales :
Zero marginal cost : AI agents scale infinitely without human labor
Automated onboarding : Support agent handles all setup
Serverless architecture : Supabase, Cloud Functions, N8N
Multi-tenant database : One codebase, infinite users
Product-led growth : Free trial, and Platform App Stores such as Shopify App Stores for ex

Economics :
SaaS model : $49-199/month
1,000 merchants = $50K-100K MRR
Infrastructure costs : tbd

🎯 Problem Clarity & Market Impact
Market Size:
32M small retailers globally (US: 1M, EU: 5M, France: 500K)
$50B spent annually on marketing services HIM automates
Average merchant: 60+ hrs/week operations, <5 hrs strategy

Impact :
Democratizes business intelligence for underserved segment
Enables solo merchants to compete with data-driven chains
Reduces entrepreneurship barriers (AI co-founder)
Potential 25-40% increase in small business success rates

Competitive Edge :
Existing tools too complex (Salesforce) or too simple (spreadsheets)
Only solution with voice-first + autonomous execution + mobile-native
Not a dashboard - a digital business partner

🔧 Partner Tech Usage
Mistral AI :
Powers both primary and support agents
Chosen for multilingual excellence, reasoning, cost-efficiency
Handles analysis, insights, action plans, conversation
Dust.tt :
Agent orchestration and execution environment
Manages context, memory, and data integrations
Enables autonomous actions (database writes, API calls)
ElevenLabs :
Text-to-speech for natural agent responses
Conversational AI for support agent
Enables hands-free mobile operation
Lovable :
Rapid web interface prototyping
Real-time TODO list and dashboard
Mobile-optimized responsive design
Additional :
N8N (workflow automation)
Supabase (database, auth, Edge Functions)
MCP Protocol (Dust ↔ Lovable communication)
Google Cloud (backend hosting)

Technologies Used
AI & Agents: Mistral Large, Dust.tt, ElevenLabs
Frontend: Lovable (React/TypeScript), Supabase Auth
Backend: Supabase (PostgreSQL, RLS, Edge Functions), Google Cloud Functions, N8N
Protocols: MCP, REST APIs, WebSockets
Planned Integrations: Shopify, Square, Sumup, Prestaphop, other.

Next Steps
✅ Completed (Hackathon) :
Core HIM agent (text + voice)
Support agent
Web interface and voice synthesis
N8N feedback workflow

🚧 Next (Post-Hackathon):

Database schema and TODO system
Complete external integrations (Shopify, Mailchimp, Meta)
Deploy action execution engine
Beta test with 10 real merchants
Launch mobile app (React Native)
Public beta with 100 merchants
Scale to multi-integration marketplace

Vision: HIM becomes the universal AI business partner for every independent merchant worldwide, democratizing data-driven growth strategies previously exclusive to large corporations.

I remixed a Lovable frontend I built 5 days ago (originally just authentication and basic UI) and integrated it with Dust.tt agents, ElevenLabs voice, and Supabase backend during the hackathon