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Dasbor simulator bisnis interaktif untuk pasar e-commerce Indonesia. Menganalisis data pasar, menguji asumsi (BEP, LTV, ROAS), dan menghasilkan proyeksi P&L & rencana aksi AI. Dibuat dengan HTML, Tailwind CSS, & Chart.js.

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πŸ“Š Dasbor Intelijen E-Commerce Indonesia 2025

1. Project Definition

What is This Project?

This is more than just a dashboard; it's your interactive business simulator. πŸ“ˆ

This project is a web application designed as a strategic decision-making tool. Its goal is to assist business owners, marketers, and brands looking to grow within the Indonesian e-commerce market.

The application helps translate complex market data and various business assumptions into profit-and-loss simulations, financial projections, and clearer action plans.

Test your strategies, understand the market deeper, and design a solid plan before investing a large budget.

The Problem It Solves πŸ€”

The Indonesian e-commerce market is highly dynamic and competitive. Many businesses face challenges due to:

  • Getting caught in tight price competition without calculating long-term profitability.
  • Allocating marketing budgets (e.g., for KOLs or Ads) less efficiently.
  • Difficulty staying informed about the latest market dynamics (like platform shifts).
  • Finding it hard to accurately calculate crucial metrics like BEP, LTV, and ROAS.

The Solution Provided βœ…

This dashboard offers an integrated solution on a single page:

  1. Providing Context: Presents market intelligence data (GMV, consumer behavior, market share) so your decisions are based on relevant data.
  2. Testing Assumptions: Provides a series of dynamic calculators ("Strategy Lab") to instantly test each business assumption.
  3. Simulating Outcomes: Delivers financial projections (P&L, Cash Flow) and performance metrics (ROAS) in real-time based on the scenarios you create.
  4. Giving Recommendations: Generates sharp AI analysis and tactical action plans based on all the data you've inputted.

2. Tech Stack πŸ› οΈ

This project is built with a focus on interactivity, speed, and ease of use, without requiring complex build processes.

HTML5 Tailwind CSS JavaScript Chart.js

  • Structure: Semantic HTML5
  • Styling: Tailwind CSS (via CDN)
  • Logic & Interactivity: JavaScript (ES6 Modules)
  • Data Visualization: Chart.js (via CDN)
  • Font: Poppins from Google Fonts

3. Key Features ✨

The dashboard is divided into five main interconnected modules:

I. E-Commerce Market Landscape 2025 (🎯 Market)

The market intelligence module provides a high-level strategic overview.

  • GMV Projection: Visualizes market growth trends up to US$95 billion.
  • Digital Consumer Profile: Core audience demographics (age), behavior (mobile transactions), and preferences (payments).
  • Market Share Analysis: Comparative chart of platform strengths: TikTok-Tokopedia vs. Shopee.
  • Major Platform Analysis: Strategy breakdown for each major player (Shopee, Lazada, Social Commerce, etc.).
  • Brand Positioning Simulator: Interactive tool with sliders to visualize your brand's position between Price (Cheap/Expensive) and Quality (Mass/Premium) axes, complete with analysis and platform recommendations.

II. Strategy Lab (πŸ”¬ Lab)

The core of the applicationβ€”a series of dynamic calculators to test your business assumptions.

  • Profitability Calculator: Calculate Net Profit/Unit and Net Profit Margin based on Selling Price, COGS, Ad Cost (CAC), and Other Costs.
  • Break-Even Point (BEP) Calculator: Determine how many units need to be sold to cover fixed costs.
  • Revenue Projection Calculator: Estimate monthly revenue based on average sales.
  • Business Model Validator: Get instant validation based on your margin model and brand strength.
  • Opportunity Score Calculator: Measure your business potential by assessing Branding Strength, Production Agility, and Digital Marketing Expertise.
  • Customer Lifetime Value (LTV) Calculator: Project the total value of a customer over their lifespan.

III. AI Marketplace Analyst (πŸ“ AI)

A module that provides in-depth analysis based on your data.

  • Strategic Inputs: You input qualitative data like product name, target segmentation, capital, and marketing strategy plans.
  • Automated Analysis: The system pulls quantitative data from the Strategy Lab and combines it with your strategic inputs.
  • Comprehensive Report: Generates a text report containing evaluation, potential risks, and sharp recommendations.

IV. Strategic Impact Simulation (πŸ“Š Projection)

A centralized financial dashboard visualizing your business health based on all previous inputs.

  • Key Metrics: Displays Projected Annual Revenue, Annual Profit, and Return on Ad Spend (ROAS).
  • Profit & Loss Statement: Simulation of a monthly P&L report (Revenue, COGS, Gross Profit, Operating Expenses, Net Profit).
  • Cash Flow Simulation: Projection of net monthly cash flow.
  • Strategic Verdict: Final conclusion and high-level recommendations.

V. Strategic Action Plan (🀟 Action)

The final module that translates all analysis into practical steps.

  • Platform Recommendation: Which platforms should be your main focus.
  • Content Recommendation: What types of content are most effective for your audience and business model.
  • Monetization Recommendation: How to optimize pricing and promotions.

4. Workflow & Interactivity βš™οΈ

The main strength of this application is its reactivity. Data you input in the Strategy Lab (e.g., Selling Price) will automatically and instantly update all other modules, including:

  • Projections in the Strategic Impact Simulation.
  • Data inputs for the AI Marketplace Analyst.
  • Recommendations in the Strategic Action Plan.

This creates a seamless and real-time simulation experience.


5. Local Setup & Installation πŸš€

This project does not require complex build steps or bundlers.

  1. Clone Repository

    git clone [https://github.com/Fortotest/Reportecom.git](https://github.com/Fortotest/Reportecom.git)
    cd Reportecom
  2. Run Local Server The easiest way is using the Live Server extension in Visual Studio Code.

    • Install the Live Server extension.
    • Right-click on the index.html file.
    • Select "Open with Live Server".

    Alternatively, you can use a simple Python server from your terminal:

    # If using Python 3
    python -m http.server

    Then open http://localhost:8000 (or the displayed port) in your browser.


6. Credits πŸ‘€

Builder: Rizky Fadil

The reports and data presented are compiled based on analysis and projections from publicly available data and are intended as a strategic aid.

About

Dasbor simulator bisnis interaktif untuk pasar e-commerce Indonesia. Menganalisis data pasar, menguji asumsi (BEP, LTV, ROAS), dan menghasilkan proyeksi P&L & rencana aksi AI. Dibuat dengan HTML, Tailwind CSS, & Chart.js.

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