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Inventory reporting and trend analytics

**Purpose**

1.1. Automate the daily collection, compilation, and distribution of inventory data across new and used Acura vehicles.
1.2. Detect sales velocity and model trends to optimize dealership stock and anticipate consumer demand.
1.3. Generate scheduled and on-demand analytical reports for management, marketing, and sales teams.
1.4. Enable rapid identification of underperforming SKUs or excess inventory for proactive actions.
1.5. Synchronize stock level alerts with procurement and digital listings in real time.

**Trigger Conditions**

2.1. Scheduled daily/weekly/monthly intervals (e.g., every morning at 7:00 AM).
2.2. On change of inventory count (e.g., sales, returns, incoming shipments recorded in DMS).
2.3. User request via dashboard for ad-hoc report generation.
2.4. API webhook from Dealer Management System (DMS) or POS for inventory update.
2.5. Threshold events (e.g., stock falls below predefined minimum for any model/trim).

**Platform Variants**

3.1. Salesforce
• Feature/Setting: Scheduled Report Export; configure Report Builder for inventory fields and set automated export to email or API.
3.2. Microsoft Power BI
• Feature/Setting: Dataflow Refresh Scheduling, set auto ingestion from cloud DMS and generate trend dashboards.
3.3. Google Sheets
• Feature/Setting: Triggers with Google Apps Script; auto-refresh with DMS integration and send analytics to stakeholders.
3.4. Tableau Cloud
• Feature/Setting: Scheduled Extract Refreshes, connect to inventory DB and push analytics to user groups.
3.5. Zoho Analytics
• Feature/Setting: Data Import API & Scheduled Reports. Map dealership inventory API and set weekly inventory analytics emails.
3.6. SAP BusinessObjects
• Feature/Setting: Publish inventory and trend analytics with Crystal Reports Scheduler; link to inventory ERP table.
3.7. HubSpot
• Feature/Setting: Workflows with Webhooks; push DMS inventory summaries to dashboard and notify via workflow.
3.8. AWS Lambda
• Feature/Setting: CloudWatch Events trigger Lambda for DMS stock table ETL and route to reporting platform.
3.9. Google Data Studio
• Feature/Setting: Scheduled email delivery for custom inventory dashboards, link to inventory table via BigQuery connector.
3.10. Airtable
• Feature/Setting: Automations using Airtable Scripting to aggregate daily inventory records and email trend analytics.
3.11. QuickBooks Online
• Feature/Setting: Inventory Valuation Summary scheduled export using QuickBooks API; deliver to analytics pipeline.
3.12. Odoo
• Feature/Setting: Inventory app reporting scheduler, triggers on stock change or scheduled cycle for analytics export.
3.13. Slack
• Feature/Setting: Incoming Webhooks; set bot to push inventory status/trends to appropriate dealer channels.
3.14. Monday.com
• Feature/Setting: Inventory Board Automations to trigger on field change and post analytics to dashboard or email.
3.15. Netsuite
• Feature/Setting: Saved Searches and Scheduled Reports using SuiteAnalytics Connect, tying inventory KPIs to email workflows.
3.16. Smartsheet
• Feature/Setting: Data Shuttle—auto import inventory CSV, analyze with formulas, send scheduled summary.
3.17. Trello
• Feature/Setting: Power-Up Automations, update inventory card lists and trigger analytics sync to Google Sheets.
3.18. Notion
• Feature/Setting: Database triggers using APIs; post dealer inventory updates and analysis for team workspace.
3.19. Dropbox
• Feature/Setting: File creation event triggers to send new DMS inventory CSVs to analysis pipeline.
3.20. Klipfolio
• Feature/Setting: Data Source Scheduling, auto-refresh Acura inventory analytics dashboard from DMS.

**Benefits**

4.1. Reduces manual operational load and minimizes data entry errors.
4.2. Enables real-time, data-driven decisions for procurement and sales.
4.3. Improves transparency with executive and operational teams.
4.4. Flags inventory issues early for quicker response to market shifts.
4.5. Ensures compliance and consistency of published inventory listings and reports.
4.6. Increases customer satisfaction by reducing out-of-stock/no-listing risks.

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