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Basket size and conversion rate reports

Purpose

1.1. Automate the extraction, aggregation, and calculation of basket size and conversion rates for clothing stores, enabling automated analytics for optimized retail performance.
1.2. Automates the scheduled generation and delivery of actionable reports, supporting data-driven decisions across sales, marketing, and stock management.
1.3. Ensure automated end-to-end integration between eCommerce platforms, POS systems, and reporting tools, enabling a constant flow of real-time, automatable insights.

Trigger Conditions

2.1. Scheduled automation (daily, weekly, monthly) triggers for report generation.
2.2. Event-driven automation, such as upon closure of business day, reaching a sales threshold, or manual trigger by analyst.
2.3. Automated updating upon new sales transaction entry or inventory update.

Platform Variants

3.1. Shopify
• Feature/Setting: Use the Shopify Admin API to automate report pulls (“GET /admin/api/2023-01/orders.json” with filters for basket analysis).
3.2. WooCommerce
• Feature/Setting: REST API “GET /wp-json/wc/v3/orders” to automate order data extraction for conversion calculations.
3.3. Square POS
• Feature/Setting: Reports API automates transaction exports; automate “Batch Retrieve Orders” function.
3.4. Lightspeed Retail
• Feature/Setting: Use Retail API “GET /sales” to automate weekly basket size data collection.
3.5. Stripe
• Feature/Setting: “List Charges” API to automate payment confirmation and associated basket value.
3.6. BigCommerce
• Feature/Setting: “GET /v3/orders” endpoint automates transaction data fetch for analytics processing.
3.7. Oracle NetSuite
• Feature/Setting: Saved Search & SuiteAnalytics functions automate scheduled reporting.
3.8. SAP Customer Checkout
• Feature/Setting: Automatically export daily sales through Data Export API.
3.9. Vend (now Lightspeed X Series)
• Feature/Setting: Sales API “GET /sales” automates the pulling of order line items and values.
3.10. Magento
• Feature/Setting: Sales API “GET /V1/orders” enable automated script pulls for basket metrics.
3.11. Google Analytics
• Feature/Setting: Measurement Protocol or GA4 Data API automates event tracking for conversions.
3.12. Microsoft Power BI
• Feature/Setting: Connectors automate import of POS/eCommerce data, schedule report refresh.
3.13. Tableau
• Feature/Setting: Tableau Web Data Connector automates data flow from sales sources, auto-refresh dashboards.
3.14. Looker
• Feature/Setting: Use Looker API to automate report generation and delivery using “run_look” function.
3.15. Klipfolio
• Feature/Setting: REST/SQL connectors automate dashboard updates for store performance.
3.16. Slack
• Feature/Setting: Use Webhook API to automate posting summary reports into team channels.
3.17. Google Sheets
• Feature/Setting: Apps Script automates scheduled imports and formula-based analysis for quick reporting.
3.18. Excel Online
• Feature/Setting: Power Query automates pulling data from APIs into spreadsheets for basket/conversion tracking.
3.19. Zapier
• Feature/Setting: Multi-step automation automates connection between POS, eCommerce, and reporting apps.
3.20. Freshsales
• Feature/Setting: Automated workflow rules export sales and conversion data for scheduled insights.
3.21. HubSpot
• Feature/Setting: Marketing Analytics API automates data sync for conversion rate tracking.
3.22. Segment
• Feature/Setting: Connections automate event collection (“Order Completed”, “Checkout Started”) for downstream analytics tools.
3.23. Mailchimp
• Feature/Setting: Campaign Reports API automates extraction of eCommerce integration conversion data.
3.24. AWS Lambda
• Feature/Setting: Scheduled functions automate data aggregation/calculation routines without server management.

Benefits

4.1. Automates manual reporting and frees staff time for higher-value work.
4.2. Ensures automatedly accurate, up-to-date retail performance metrics for timely business interventions.
4.3. Automating multi-source analytics lowers errors and improves data consistency across the organization.
4.4. Automatable alerts and automated delivery of actionable insights boost decision-making speed for managers.
4.5. Automation scales as sales volume grows, supporting business expansion seamlessly.

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