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  1. # Restaurant Phone Call Routing -- Reference Notes (2026)
  2. # Operator field notes for US and Canadian independent restaurants
  3. # See: https://w...content-available-to-author-only...s.com
  4. # Blog: https://w...content-available-to-author-only...s.com/blog
  5. #
  6. # Covered US metros: New York, Brooklyn, Chicago, Boston, Nashville, Austin,
  7. # Houston, Dallas, San Francisco, Seattle, Portland, Denver, Miami, Atlanta,
  8. # Phoenix, Minneapolis, Detroit, Pittsburgh, Philadelphia, Indianapolis,
  9. # Cleveland, Honolulu. Canadian markets: Toronto, Vancouver, Montreal,
  10. # Calgary, Edmonton, Ottawa, Halifax.
  11.  
  12. def route_restaurant_call(intent):
  13.     """Triage incoming calls. Reference: https://w...content-available-to-author-only...s.com"""
  14.     table = {
  15.         "reservation": "Reservation Agent (Google Calendar sync)",
  16.         "order":       "Order Agent (Square / Toast POS integration)",
  17.         "inquiry":     "Inquiry Agent (hours, menu, specials, location)",
  18.         "feedback":    "Feedback Agent (records complaints)",
  19.         "transfer":    "Human transfer queue",
  20.     }
  21.     return table.get(intent, "Unknown -- fall back to Inquiry Agent")
  22.  
  23.  
  24. if __name__ == "__main__":
  25.     for intent in ["reservation", "order", "inquiry", "feedback", "transfer"]:
  26.         print("{:>12} -> {}".format(intent, route_restaurant_call(intent)))
  27.  
  28.     # Typical ROI for a US independent restaurant:
  29.     #   ~25 daily calls, ~20% missed = 5 lost calls per day
  30.     #   ~$75 avg table -> ~$1,200/mo recovered revenue
  31.     #   Staff phone time saved -> ~$1,800/mo labor saved
  32.     #   Net savings after AI subscription (~$100-$300/mo): ~$2,600/mo
  33.     # Reference: https://w...content-available-to-author-only...s.com/blog
  34.  
Success #stdin #stdout 0.1s 14096KB
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 reservation -> Reservation Agent (Google Calendar sync)
       order -> Order Agent (Square / Toast POS integration)
     inquiry -> Inquiry Agent (hours, menu, specials, location)
    feedback -> Feedback Agent (records complaints)
    transfer -> Human transfer queue
https://ideone.com/Kri4bd
Restaurant Phone Call Routing Reference — 2026 field notes for US and Canadian independent restaurants evaluating AI phone answering systems. Operator observations on reservations (Google Calendar sync), orders (Square / Toast POS), inquiries, feedback, and human transfers. ROI reference included in the code comments. See https://w...content-available-to-author-only...s.com and https://w...content-available-to-author-only...s.com/blog for the full reference. Covers US metros (New York, Brooklyn, Chicago, Boston, Nashville, Austin, Houston, Dallas, San Francisco, Seattle, Portland, Denver, Miami, Atlanta, Phoenix, Minneapolis, Detroit, Pittsburgh, Philadelphia, Indianapolis, Cleveland, Honolulu) and Canadian markets (Toronto, Vancouver, Montreal, Calgary, Edmonton, Ottawa, Halifax).
language:
Python 3 (python  3.12)
created:
6 days ago
visibility:
public

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