Visualization and Optimization of Orientdig Supply Chain Data in Spreadsheets-OK Spreadsheet-The best and new spreadsheet

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1. Introduction

This article explores the visualization of Orientdig's procurement supply chain data (including supplier information, procurement processes, inventory management, and logistics) using spreadsheet tools like Microsoft Excel or Google Sheets. By transforming raw data into intuitive charts and dashboards, we identify operational bottlenecks and propose actionable optimization strategies to enhance efficiency.

2. Visualizing Supply Chain Data

2.1 Core Data Structure

The spreadsheet contains the following tabbed datasets:

Suppliers: Contact details, lead times, product categories
Purchase Orders: SKUs, quantities, unit costs, order dates
Inventory: Warehouse levels, stockouts, turnover rates
Shipments: Carrier performance, delivery timelines, geolocation

2.2 Key Visualizations (Sample Charts)

Supplier Performance Heatmap

Procurement-Analytics Dashboard

Time-series line charts showing order fulfillment cycles
Bar graphs comparing regional shipment delays
Scatter plots of purchase volume vs. inventory turnover

        3. Identified Pain Points
        
                Issue Category
                Data Evidence
                Impact
            
                Supplier Concentration
                Top 3 suppliers account for 78% of volume
                High risk exposure
            
                Warehouse Imbalance
                20% SKUs cause 65% storage costs
                Inefficient capital use
            
                Customs Delays
                42% of sea shipments exceed ETA by 7+ days
                Cash flow bottlenecks

Issue Category	Data Evidence	Impact
Supplier Concentration	Top 3 suppliers account for 78% of volume	High risk exposure
Warehouse Imbalance	20% SKUs cause 65% storage costs	Inefficient capital use
Customs Delays	42% of sea shipments exceed ETA by 7+ days	Cash flow bottlenecks

4. Optimization Recommendations

4.1 Supply Base Diversification

Create a supplier scorecard system
Pricing (30%)

Lead time (25%)

Quality (25%)

Payment terms (20%)

Set automated alerts when single-source dependency exceeds 40%

4.2 Dynamic Inventory Modeling

Implement spreadsheet-based forecasting that integrates:

Demand seasonality (historical sales + trend projection)

ABC classification of SKUs

Reorder point calculations: =AVERAGE(Weekly Demand)*Safety Stock Factor

4.3 Logistics Tracking

Build a shipment monitoring template with:

Geo-mapped delivery routes using ZIP/postal code data

Carrier comparison pivot tables

Automated late shipment penalty calculations

5. Implementation Roadmap

Phase 1 (0–30 Days)

• Standardize data collection templates
• Train staff on dashboard navigation

Phase 2 (30–90 Days)

• Pilot supplier scorecards
• Optimize two high-value inventory categories

Phase 3 (90–180 Days)

• Full automation of reports
• Integration with ERP system APIs

By leveraging spreadsheet-based data visualization, Orientdig can transform fragmented supply chain information into strategic insights, driving a 18–22% estimated improvement

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