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Full-stack AI-powered sales automation platform for Saudi SMEs: Backend (FastAPI + PostgreSQL): - Multi-tenant architecture with row-level isolation - JWT auth with RBAC (owner/manager/agent/admin) - Lead, Customer, Deal, Pipeline, Activity, Message, Proposal models - Dashboard analytics API (overview, pipeline, revenue) - WhatsApp Business API, Email (SMTP/SendGrid), SMS (Unifonic) integrations - Celery + Redis workers for automated follow-ups and scheduled messages - Property model for Real Estate module (Riyadh districts) - Hijri date utilities, Arabic/English localization Frontend (Next.js + Tailwind): - Professional Arabic RTL landing page with 10 sections - Brand identity: SalesMatic (سيلزماتك) with custom SVG logo - Color system: Trust Blue #0F4C81, Growth Teal #00BFA6, CTA Orange #FF6B35 - IBM Plex Sans Arabic + Inter typography - Responsive design, dark hero section, pricing table, FAQ Industry Templates: - Healthcare/Clinics: pipeline stages, WhatsApp message templates, auto-workflows - Real Estate Riyadh: 20 districts, property tours, payment plans, matching Infrastructure: - Docker Compose (PostgreSQL, Redis, Backend, Celery, Frontend, Nginx) - Nginx reverse proxy config - Makefile for common operations https://claude.ai/code/session_01LLR7jzpyNRwDA9kojtT3CW
33 lines
712 B
Python
33 lines
712 B
Python
from pydantic import BaseModel
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from decimal import Decimal
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class DashboardOverview(BaseModel):
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total_leads: int
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new_leads_today: int
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total_deals: int
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open_deals_value: Decimal
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closed_won_value: Decimal
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closed_won_count: int
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messages_sent_today: int
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conversion_rate: float
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active_workflows: int
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class PipelineSummary(BaseModel):
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stages: dict[str, int]
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total_value_by_stage: dict[str, float]
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class RevenueAnalytics(BaseModel):
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total_revenue: Decimal
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monthly_revenue: list[dict]
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top_sources: list[dict]
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average_deal_value: Decimal
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class PerformanceMetrics(BaseModel):
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agents: list[dict]
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top_performer: dict
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team_conversion_rate: float
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