Inventory movement analysis and dashboards

Purpose

1.1. Monitor, track, and analyze movement of inventory (DVDs) across all locations
1.2. Consolidate data sources to visualize inventory trends, sales velocity, restocking cycles, and shrinkage
1.3. Provide real-time reporting dashboards for stock health, popular titles, aging inventory, and transfer needs
1.4. Automate the extraction, aggregation, and display of inventory data for business decisions

Trigger Conditions

2.1. Scheduled (daily/weekly/monthly inventory pulls)
2.2. Inventory movement event (stock in/out, sales, returns, transfers)
2.3. Manual trigger for ad-hoc analysis
2.4. Low-stock or overstock threshold breach
2.5. Synchronization with POS or ERP updates

Platform Variants

3.1. Microsoft Power BI
• Feature/Setting: Dataflows, Scheduled refresh; Configure with database/API connectors
3.2. Tableau
• Feature/Setting: Live data connectors, Extract Refresh API for automated dashboard updates
3.3. Google Data Studio
• Feature/Setting: Community Connectors, Automated Data Fetch configuration
3.4. Looker
• Feature/Setting: Explore, Scheduled Reports; API for ingestion triggers
3.5. Qlik Sense
• Feature/Setting: Data Load Editor, REST API integration with inventory software
3.6. Domo
• Feature/Setting: DataFlows, API DataSets; webhook configuration for real-time updates
3.7. Sisense
• Feature/Setting: Elasticube Manager, Web Data Connector setup
3.8. Zoho Analytics
• Feature/Setting: Data Import API, Schedule Import function
3.9. Metabase
• Feature/Setting: Query scheduler, Embedded Dashboard configuration via API
3.10. Redash
• Feature/Setting: Query Runner, Webhook triggers for data refresh
3.11. SAP Analytics Cloud
• Feature/Setting: Data Connection manager, Live Data integration
3.12. IBM Cognos Analytics
• Feature/Setting: Automated Data Modules, Scheduled Report Bursting
3.13. Oracle Analytics Cloud
• Feature/Setting: Data Sync, REST API connections
3.14. Klipfolio
• Feature/Setting: REST/SQL Data Source, Scheduled data refresh settings
3.15. Smartsheet
• Feature/Setting: Data Shuttle, Automated Workflows with HTTP endpoints
3.16. Airtable
• Feature/Setting: Scripting/Automations, REST API for pulling/posting inventory data
3.17. Google Sheets
• Feature/Setting: App Script for timed triggers, API to fetch inventory system data
3.18. Monday.com
• Feature/Setting: Dashboard widgets, Automation recipes on inventory status
3.19. Amazon QuickSight
• Feature/Setting: Data Source refresh scheduling, Push/Pull API configuration
3.20. Mode Analytics
• Feature/Setting: Python/R Notebooks for automated fetching, Scheduled query refresh
3.21. Salesforce Einstein Analytics
• Feature/Setting: Dataflow automation, Connected Data Source setup
3.22. Databox
• Feature/Setting: Data Sources automation, Scheduled sync from inventory APIs
3.23. Chartio
• Feature/Setting: Scheduled Snapshots, Query-based dashboard refresh
3.24. Cumul.io
• Feature/Setting: Push Data API, Automation Triggers on external systems

Benefits

4.1. Timely insight into popular, slow-moving, and at-risk inventory
4.2. Efficient reordering, minimizing stock-outs and overstock
4.3. Improved visibility for regional and historical analysis
4.4. Labor-saving by removing manual reporting
4.5. Accurate, real-time dashboards to guide operational decisions
4.6. Early detection of shrinkage or anomalies
4.7. Enhanced forecasting by connecting sales and inventory trends
4.8. Scalable solution adapting to new stores or inventory expansion