Automated tracking of top-selling and slow-selling dishes

Purpose

 1.1. Automatically track top-selling and slow-selling dishes to optimize menus, increase profitability, reduce waste, enhance customer satisfaction, and enable data-driven decisions.
 1.2. Aggregate sales from POS systems, analyze dish performance, flag trends, push alerts, and sync summary data to dashboards or via notifications.
 1.3. Enable dynamic adjustments in menu design, stock procurement, promotions, and marketing based on real-time sales analytics.

Trigger Conditions

 2.1. New order placed in POS system
 2.2. End-of-day batching or shift-close summary
 2.3. Scheduled data fetch (e.g., daily, hourly)
 2.4. Manual sync trigger by manager
 2.5. Real-time API update from e-commerce/order integration

Platform Variants

 3.1. Square POS
 • Feature: Orders API — Configure webhook for each new order; fetch item sales with GET /v2/orders or webhook endpoint for real-time sync.
 3.2. Toast POS
 • Function: Orders API — Automate export with 'daily sales report' via REST endpoint; monitor itemized ticket sales.
 3.3. Lightspeed
 • API: Sales endpoint — Schedule GET /sales endpoint to collect dish-level transactions.
 3.4. Revel Systems
 • REST API: Order endpoint — Set up webhook for order.created and item-level sales stats.
 3.5. Clover
 • API: Inventory & Orders — Use GET /v3/orders and /v3/items for real-time inventory and sales.
 3.6. Shopify
 • Admin API: Orders endpoint — Fetch app_orders/sales; filter by product/dish tags.
 3.7. Stripe
 • Reporting API: Use balance transactions with metadata (e.g., dish SKU) for dish-level summaries.
 3.8. Google Sheets
 • App Script/Sheets API: Scheduled import from POS records and run Apps Script to calculate top/slow sellers.
 3.9. Airtable
 • API: Scheduled scripts pull sales, run 'GROUP BY' dish, output analytics fields.
 3.10. QuickBooks
 • Sales Receipt API: Pull itemized receipts and programmatically tabulate sales ranks by dish.
 3.11. Microsoft Power BI
 • Dataset API: Push dish sales data via API and configure DAX formulas to compute rankings.
 3.12. Tableau
 • Hyper API: Auto-import dish sales daily, generate worksheets with filters for sales velocity.
 3.13. Slack
 • Incoming Webhook: Post alerts when a dish enters/exits top/slow-selling list.
 3.14. Twilio
 • Programmable SMS API: Send scheduled or triggered SMS to managers for performance alerts.
 3.15. Zapier
 • Webhooks: Link POS webhook event to data aggregation action, push results to reports.
 3.16. Make (Integromat)
 • HTTP Module: Schedule or trigger fetch of POS data, process and update dashboards or alerts.
 3.17. AWS Lambda
 • Lambda Function: Periodic run to process sales data, identify top/slow sellers, send notifications.
 3.18. Azure Logic Apps
 • Scheduled workflow: Retrieve, aggregate, and notify on sales performance with logic flows.
 3.19. Google Data Studio
 • API Connector: Link to POS/Sheets, auto-refresh dashboards pinpointing high/low-performing dishes.
 3.20. Monday.com
 • API Board Updates: Dish performance boards update via payload from automation; track real-time status.
 3.21. Notion
 • Integration API: Auto-update a database for dish sales analytics and trend flagging.
 3.22. Salesforce
 • Platform Events: Push dish sales metrics to custom dashboards with reports/alerts.
 3.23. FreshBooks
 • Invoice and Sales APIs: Extract line-item dish sales, generate ranking insight.

Benefits

 4.1. Eliminates manual sales tracking and reduces errors.
 4.2. Provides actionable insights for menu engineering and promotions.
 4.3. Enables proactive inventory and procurement management.
 4.4. Enhances agility in responding to market/diner preference changes.
 4.5. Drives revenue growth and cost savings by optimizing dish selection and marketing focus.