Quick overview
Quick overview This workflow runs every 15 minutes to calculate dynamic restaurant dish prices from POS order velocity, local weather, and nearby events/foot-traffic data, then uses Anthropic Claude to review changes for brand-damage risk before pushing approved prices to a QR-code digital menu via API. How it works Runs on a schedule every 15 minutes to start a pricing cycle. Fetches POS order-velocity data, current local weather, and nearby events/foot-traffic data via HTTP APIs. Combines the API responses and derives per-dish demand features such as velocity ratio plus weather and event multipliers. Applies an elasticity-based pricing model to propose per-dish price changes within defined surge and discount caps. Waits briefly, then sends the proposed changes to Anthropic Claude to approve, cap, or reject each change with a short risk rationale. Parses Claude’s JSON decisions with a safety fallback that keeps current prices if the AI output can’t be parsed. Posts the final approved dish prices to the QR/digital menu platform’s price-update API. Setup Add an Anthropic API credential and select the Claude model used by the brand-safety review step. Configure your POS API endpoint and replace the placeholder POS bearer token (YOUR_POS_API_KEY). Configure your weather API endpoint and replace the placeholder weather bearer token (YOUR_WEATHER_API_KEY). Configure your events/foot-traffic API endpoint and replace the placeholder events bearer token (YOUR_EVENTS_API_KEY). Configure your QR/digital menu platform endpoint and replace the placeholder menu platform API key (YOUR_MENU_PLATFORM_API_KEY). An n8n automation workflow template by Oneclick AI Squad.
Oneclick AI Squad
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