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FlowBoard

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FlowBoard transforms how teams manage their work—connecting strategy to daily action through an AI-powered platform that adapts, learns, and evolves with your organization.

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Tip: Click "Example" to see how Javier requested his Sales Plan Tracker

Tool Request Ready

Example: Sales Plan Tracker 2026

This is an example of how Javier requested his Sales Plan Tracker tool. A well-structured request helps the development team build exactly what you need.

TOOL REQUEST

Title: Sales Plan Tracker 2026

Description:

A comprehensive sales tracking tool that holds the complete annual budget for all customers for 2026. Users can upload monthly actual sales results and compare them against the budget to track performance and identify at-risk accounts.

Key Requirements:

  • Pre-load annual budget targets by customer (~22 customers, 1.58M tons total)
  • Monthly actual data upload capability via Excel
  • Budget vs Actual comparison with automatic achievement percentage calculation
  • Dashboard showing overall KPIs: Total Achievement %, On Track customers, At Risk customers
  • Customer-level performance breakdown with individual targets
  • Segment-wise analysis (Take Care, Maintain, Develop, Monitor segments)
  • Origin-wise breakdown (Brasil vs Chile)
  • Visual charts showing monthly progression trends
  • Color-coded status indicators (green >80%, yellow 60-80%, red <60%)

Users:

Owner: Javier (full admin access) | Viewers: Sales team members (view only)

Data Structure:

Customer: name, segment, origin (Brasil/Chile), annual target (tons)
Monthly tracking: January through December 2026 actuals
Calculated fields: achievement %, variance from target, trend direction

Priority: High

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Your crystal ball for global pulp markets

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    Hello! I'm your Market Intelligence assistant. I can help you analyze data from:

    • SCI99, PPPC, Cellmark reports
    • TTO Wood Chip imports
    • OilChem Port shipments

    Ask me anything about prices, volumes, trends, or comparisons!

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    📦 Order to Cash Wood Products

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    Shipping Schedule 2025

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    📊 Sales Plan Tracker 2026

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    The Operational Excellence Index (OEI) is our approach to understanding, measuring, and improving the BEST management system. This self-assessment focuses on Commercial and Supply Chain areas to transition toward an integrated Factory-to-Customer (F2C) value chain measurement.

    The assessment covers 18 practices across 4 key areas: Customer Focus, Performance, Process Excellence, and People Development.

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    Asia Innovation Map

    Shipping Schedule Pulp

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    Upload New Shipping Plan

    Upload an Excel file containing the weekly shipping schedule (Embarques Asia format).

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    Customer Intelligence Pulp

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    🌲

    Senlin Ultimate Intelligence

    AFRY Project Senlin - Pulp Market Intelligence

    -- slides -- data points

    Select a category above to explore

    Or click "All" to browse all -- slides

    --
    --

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    Mark Payment as Received

    Invoice:

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    Amount:

    Import Port Payments from Excel

    Expected Format:

    • Sheet name: "Port Payment OTIF"
    • Columns: Port, Company, Invoice number, Invoice date, Due date, etc.
    • Same structure as the original Excel file

    Maximum file size: 10MB

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    🔭

    Sēnlín Telescope

    Strategic Intelligence System

    Investment Health

    Brazil Factory - $4.5B Investment

    -- /100
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    Decision Point
    Q1 2026
    -- days
    --
    --
    Total Indicators
    --
    --
    High Risk (≥70)
    --
    --
    Active Alerts
    --
    --
    China Integration Risk

    Scenario Probability

    Base Scenario --

    Sufficient wood supply, stable market

    Twilight Scenario --

    Constrained supply, Chinese vertical integration

    Assessment Period: --

    Critical Alerts --

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    High-Risk Indicators

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    Executive Summary

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    Project Senlin - Research Methodology

    December 7, 2025 | Author: Manus AI

    1. Executive Summary

    This document outlines the research methodology used to identify and analyze leading indicators of new eucalyptus and acacia plantation developments in Asia and Africa. The goal of this research was to provide a continuous intelligence stream to assess wood supply risks for a $4.5 billion BHKP factory investment in Brazil.

    Core Research Question: "Will Chinese pulp producers achieve vertical integration through new wood sources, thereby reducing demand for Brazilian market pulp?"

    Our methodology combined a foundational analysis of the Project Senlin Final Report with a comprehensive Wide Research process across eight distinct indicator categories. This produced a database of 35 leading indicators, which were then analyzed to produce an investment health score and scenario probabilities.

    2. Research Objectives

    Identify Early Warnings

    Detect new plantation projects in Asia and Africa that could supply the Chinese pulp industry.

    Assess China Linkage

    Determine the strength of connection between new plantations and Chinese entities.

    Quantify Risk

    Measure the potential impact of new wood supply on market pulp demand from Brazil.

    Track Scenarios

    Monitor whether developments align more with a Base Scenario or Twilight Scenario.

    Inform Decision-Making

    Provide the board with a data-driven foundation for the Q1 2026 investment decision.

    3. Research Process (3 Phases)

    Phase 1: Foundational Context Analysis

    Objective: Extract the core strategic context from the Project Senlin PDF study.

    Process: Deep analysis of the 150-page Project Senlin Final Report, including:

    • Executive Summary & Key Findings
    • Southeast Asia Wood Supply Dynamics
    • Country-specific analyses (Vietnam, Indonesia, Thailand, Malaysia)
    • Plausible BHKP Capacity Expansion Pipeline (16.4 Mt)
    • Scenario definitions (Base vs. Twilight)

    Outcome: Established foundational knowledge base, including the critical role of wood availability (30% ranking weight).

    Phase 2: Wide Research & Indicator Identification

    Objective: Find real-world, up-to-date evidence of new plantation developments.

    Process: Comprehensive Wide Research process with 8 leading indicator categories:

    National Forestry Strategies Land Concessions & Permits Corporate Expansions Trade Intelligence Infrastructure Projects Chinese Investments Environmental Risks Policy Changes

    Outcome: 35 leading indicators across 10 countries.

    Phase 3: Analysis & Synthesis

    Objective: Structure raw data, assess risk, and produce actionable intelligence.

    1. Standardization

    All 35 indicators standardized into consistent JSON format with 14 distinct fields.

    2. China Risk Scoring

    Score (0-100) based on directness of link, project scale, timeline, and species.

    3. Scenario Alignment

    Each indicator assessed for impact on Base vs. Twilight scenarios.

    4. Investment Health Score

    Composite score (0-100) based on severity, probability shifts, and geographic concentration.

    Outcome: Investment health baseline (55/100 - Moderate Risk) and clear strategic landscape assessment.

    4. China Risk Scoring Model

    Each indicator is assigned a China Risk Score (0-100) based on a proprietary model:

    Factor High Risk Medium Risk Low Risk
    Directness of Link Direct Investment Offtake Agreement Potential Customer
    Project Scale > 100,000 ha 50,000 - 100,000 ha < 50,000 ha
    Timeline < 2 years 2 - 5 years > 5 years
    Species Eucalyptus Acacia Other

    5. Limitations & Gaps

    Data Opacity

    Information on private land deals and unannounced projects is difficult to obtain.

    China Linkage Uncertainty

    Direct evidence of Chinese offtake agreements is often confidential. Risk score is an estimate.

    Dynamic Environment

    The situation is constantly evolving; this research represents a snapshot as of December 2025.

    Coverage Gaps

    No significant indicators found for Tanzania, Cambodia, Myanmar - requires further targeted research.

    6. Conclusion

    This methodology provides a robust and repeatable framework for monitoring the global plantation landscape. It transforms a static research study into a live intelligence system, enabling proactive, data-driven decision-making to protect the $4.5 billion Brazil investment. The process is designed to be updated quarterly to provide the board with the most current strategic picture.

    All Indicators Database --

    ID Description Category Country Risk Source Date
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    Profit Optimization Model

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    Universal Upload System

    Capabilities

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    Automatically maps your file columns to database fields using fuzzy matching. Works even if column names don't match exactly!

    Auto Update & Insert:

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    Complete History Tracking:

    Every change is recorded. You can always see what was changed and when.

    Safe & Reversible:

    Nothing is ever lost. All previous data is preserved in history tables.

    Supported Formats (Phase 1)

    .CSV

    Comma Separated

    .TXT

    Tab/Comma Delimited

    Coming in Phase 2: Excel (.xlsx), PDF tables, and Word documents (.docx)

    File Requirements

    • First row must contain column headers
    • Column names should be similar to original format (fuzzy matching tolerates small differences)
    • Key fields must be present (e.g., Port + Invoice Number for Port Payments)
    • File size limit: 10MB recommended

    Current Limitations

    Processing Time: Files are processed synchronously. Very large files may timeout (>5000 rows).
    Format Restrictions: Excel/PDF/DOCX not yet supported. Convert to CSV first.

    How It Works

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    Upload your file (CSV or TXT format)

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    System detects columns and maps them to database fields

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    Each row is matched against existing records using key fields

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    Existing records are updated (old values saved to history)

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    You receive a detailed report of changes