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Visualization and Optimization of Orientdig's Purchasing Supply Chain Data in Spreadsheets

2025-04-28
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Introduction

In today's global e-commerce landscape, data visualization has become critical for cross-border purchasing businesses like Orientdig. This report explores how spreadsheet-based visualization can transform raw supply chain data into actionable insights for better decision-making and operational efficiency.

Supply Chain Data Visualization in Spreadsheets

1. Supplier Network Mapping

Using spreadsheet pie charts and node-link diagrams, we map Orientdig's supplier ecosystem:

  • Geographic distribution heat maps (using color gradients)
  • Supplier performance dashboards (speed/quality scorecards)
  • Relationship matrices showing product-category specialization

Supplier Network Visualization

2. Procurement Process Flow

Gantt charts and timeline visualizations highlight:

  • Order-to-delivery cycle times for different product categories
  • Bottlenecks in purchase order approval processes
  • Seasonal fluctuations in procurement volumes (line charts with trendlines)

3. Inventory Management

Interactive pivot charts reveal:

  • SOH (Stock on Hand) vs. demand forecasting discrepancies
  • ABC analysis of inventory turnover rates
  • Warehousing capacity utilization heatmaps

4. Logistics Tracking

Geospatial mapping (through integration with mapping tools) and Sankey diagrams show:

  • Shipping route efficiencies/delays
  • Last-mile delivery performance metrics
  • Carrier reliability comparisons

Identified Supply Chain Issues

Category Issue Impact
Procurement 45% of POs require manual follow-up due to incomplete vendor data +3 day average procurement cycle
Inventory 28% of SKUs show >30 days excess inventory $240K/year carrying cost
Logistics 17% cross-border shipments face custom clearance delays 42% customer service complaints

Optimization Recommendations

1. Data Standardization

  • Implement template-based data collection for uniform supplier information
  • Create dropdown validation for key fields (lead times, MOQs etc.)

2. Dynamic Dashboard Development

  • Build connected pivot tables with real-time API data feeds
  • Implement conditional formatting for exception alerts

3. Automated Reporting

  • Create macros for generating weekly performance scorecards
  • Set up auto-triggered inventory replenishment signals

4. Collaborative Planning

  • Shared cloud-based sheets with supplier performance tracking
  • Comment threads for resolving supply issues

Expected Outcomes

Through these visualization and optimization initiatives, Orientdig can expect:

  1. 18-25% reduction in procurement lead times
  2. 15-20% decrease in excess inventory costs
  3. 30% improvement in on-time delivery rates
  4. Enhanced visibility across all tiers of the supply chain

The spreadsheet-based approach provides a cost-effective solution that can scale as Orientdig grows its cross-border purchasing operations.

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