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CASE STUDY

Driving Supply Chain Visibility: AgriChain Logistics & Commodity Dashboard

Industry: Agriculture & Supply Chain

Solution Area: Logistics & Commodity Tracking

Client: AgriChain (Grain Supply Platform, Australia)

Tools Used: Fivetran, Microsoft SQL Server, Power BI

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Business Impact

20% Faster Turnaround

​Real-time tracking reduced pickup and delivery delays.

Improved Forecasting

Monthly tonnage trend visibility enhanced demand planning and capacity allocation.

Optimised Asset Utilisation

Transparent tracking of truck movements and warehouse stock improved logistics efficiency.

The Challenge

AgriChain manages large-scale grain and commodity movement across multiple sites—coordinating thousands of trucks and millions of tons of material annually. However, operational data was fragmented across spreadsheets and internal systems, making it difficult to answer critical questions:

  • How many trucks are moving in and out daily, and what’s the throughput?

  • Where are pickup and delivery delays occurring?

  • Which commodities dominate transfers, and how do trends shift monthly?

  • How is onsite stock split between growers and warehouses?

Without a unified reporting structure, the team struggled to monitor logistics performance, detect bottlenecks early, or plan resource allocation effectively.

Our Solution

GrowthBI developed a Power BI–based Logistics & Commodity Dashboard, consolidating all transport and stock data into a single, interactive view.

By integrating AgriChain’s operational systems through Fivetran into SQL Server and modeling it in Power BI, the dashboard provided end-to-end visibility of commodity movements, site performance, and stock ownership.

Key Features:

  • Truck Movement Analytics: Real-time tracking of inbound, outbound, and total trucks with pickup and delivery time averages.

  • Commodity Volume Trends: Monthly tonnage visuals for Wheat, Barley, Canola, Fertiliser, Lime, Lupins, and Gypsum.

  • Stock & Ownership Breakdown: View commodity stock split by grade and ownership (Grower vs Warehouse).

  • Operational KPIs: Track total tons, tonnage per hour, and turnaround metrics for efficiency analysis.

  • Site & Grade Drilldowns: Filter by site or commodity to investigate performance variations.

Dashboard Walkthrough

1. Key Performance Indicators (KPI Summary)

Displays total tons in/out, tonnage per hour, and average pickup/delivery times—giving a real-time view of throughput efficiency and cycle speed.

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2. Volumes by Commodity (Inload & Outload)

Stacked bar charts showing monthly tonnage by commodity, allowing users to identify seasonal peaks and dominant product flows.

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3. Transfers by Commodity (Daily View)

Tracks daily tonnage movements across major commodities, helping pinpoint sudden fluctuations or logistic bottlenecks.

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4. Stock by Grade & Ownership

Visual breakdown of warehouse stock by commodity grade and ownership type (Grower, Warehouse, Non-Grower), assisting in storage and sale strategy planning.

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5. Site-Level Drilldowns

Interactive filters allow users to focus on specific sites or commodities, with drillthrough capabilities for detailed site-level analysis of delays or inefficiencies.

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Technical Architecture & Process

Data Flow:

AgriChain Platform → Fivetran → Microsoft SQL Server → Power BI

Pipeline Overview:

  • Fivetran: Automated ingestion of logistics, stock, and warehouse data from AgriChain’s systems.

  • SQL Server: Data modeling and joining of transport logs, commodity tables, and site dimensions.

  • Power BI: Interactive visualization layer for performance monitoring and drilldowns.

SQL Snippet (Simplified):

SELECT
  site_id,
  commodity,
  movement_type,
  SUM(tonnage) AS total_tons,
  AVG(pickup_time) AS avg_pickup_mins,
  AVG(delivery_time) AS avg_delivery_mins
FROM agrichain_movements
GROUP BY site_id, commodity, movement_type;

Power BI Measures:

TonnagePerHour = DIVIDE(SUM('Movements'[TotalTons]), SUM('Movements'[Hours])) AvgTurnaround = AVERAGE('Movements'[PickupTime] + 'Movements'[DeliveryTime])

Outcome

The dashboard revolutionized AgriChain’s logistics management—turning disconnected spreadsheets into a real-time, self-serve analytics platform.

  • Proactive Monitoring: Early identification of pickup/delivery delays.

  • Data-Driven Allocation: Smarter distribution of trucks and storage resources.

  • Transparent Collaboration: Clear, shareable insights across growers, warehouses, and leadership.

AgriChain now operates with complete supply chain visibility—optimizing efficiency from farm gate to warehouse gate.

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