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

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:

18-25% reduction in procurement lead times
15-20% decrease in excess inventory costs
30% improvement in on-time delivery rates
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.