Templates / Set dynamic restaurant menu pricing with Claude and QR menu APIs

Set dynamic restaurant menu pricing with Claude and QR menu APIs

Needs changes

by Oneclick AI Squad ✓ · 5 views · created 2026-07-27 · CRM, AI Summarization

Needs changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 13 nodes and runs on a schedule (every 15 minutes). Along the way it connects Anthropic Chat Model.

How it runs

Trigger: On a schedule (every 15 minutes).

  1. Fetch POS Sales Velocity (HTTP Request): calls an HTTP API
  2. Fetch Local Weather Conditions (HTTP Request): calls an HTTP API
  3. Fetch Nearby Events & Foot Traffic (HTTP Request): calls an HTTP API
  4. Merge: merges the data from its input branches
  5. JS - Build Demand Signal Baseline (Code): runs custom JavaScript code
  6. JS - Run Elasticity Pricing Model (Code): runs custom JavaScript code
  7. Wait: pauses before continuing
  8. Claude - Brand-Damage Check (AI Agent): runs an AI agent, with model: Anthropic - Brand Safety Model
  9. JS - Parse AI Output & Finalize Approved Prices (Code): runs custom JavaScript code
  10. Wait: waits 15 seconds

…plus 1 more step. See the full node list below.

Services it uses

Anthropic Chat Model

Before you upgrade to n8n 3.0

1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:

  • AI Agent v1 (old agent modes) in Claude - Brand-Damage Check (v1.6): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.

Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).

Removed in 3.0Replace with
AI Agent v1 (old agent modes)
Claude - Brand-Damage Check (v1.6)
Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.

Nodes used (7)

From the author

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…

Excerpt from Oneclick AI Squad's description on n8n.io.

View the original on n8n.io → Check your own copy

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