Restaurant AI Quote Generator in Idaho

The intake form asks five to seven questions tuned for restaurant events: type of event (corporate dinner, rehearsal dinner, holiday party, anniversary, birthday, full buyout, business meeting with meals), guest count, event date and time, service style (plated dinner, family-style, prix fixe, buffet, cocktail reception, full buyout), bar service interest (none, beer and wine only, full bar, hosted top-shelf), dietary considerations (vegetarian count, vegan, gluten-free, allergies), zip code, and an optional notes field. The form submits into n8n. The workflow normalizes the inputs, runs them through an OpenAI prompt seeded with realistic per-head pricing across plated dinner (sixty-five to one fifty per person depending on restaurant tier), family-style group menu (fifty-five to one twenty), prix fixe (forty-five to one hundred), cocktail reception with passed hors d'oeuvres (thirty-five to seventy-five), and full buyout food-and-beverage minimums (which scale with venue size).

Bar packages typically run twenty-five to fifty-five per person for two to four hours of service. AV rental and room fees are added separately when applicable. The JSON gets templated into a branded HTML email with the restaurant's logo, the per-head pricing, the food-and-beverage minimum, a sample menu outline, and a one-click consultation booking link.

A matching SMS fires through Twilio. Total time from form submit to estimate in hand, around thirty-five seconds.

Event planners are venue-shopping under a tight deadline. They have a corporate dinner in three weeks, a rehearsal dinner in two months, a holiday party they need to lock before December books out.

They are comparing three to five restaurants in parallel and they will book with the first restaurant that responds with a per-head package they can actually evaluate. Most restaurants fail at the speed game because the events coordinator is on-site for tonight's service, the inquiry from this morning gets a callback two days later, and the planner has already booked the competitor restaurant.

The restaurant sees the inquiry, sees no booking, and assumes the planner went somewhere closer to the office. They went somewhere faster, and that competitor is now charging a fifteen-hundred-dollar deposit on a six-thousand-dollar event.

A corporate dinner for thirty at eighty-five per person is twenty-five fifty in food revenue plus another thousand in bar revenue, total event revenue around thirty-five hundred. A wedding rehearsal dinner for fifty at seventy-five per person is thirty-seven fifty plus fifteen hundred bar, total fifty-two hundred. A full buyout for one twenty at one hundred ten per person all-in is thirteen thousand two hundred.

Restaurants typically run higher margins on private events than on regular service because the menu is fixed and labor is predictable. A restaurant pulling thirty private event inquiries a month and booking eight at twenty-six percent is roughly industry baseline. Push booking rate to forty-five percent on instant-quote leads, which is realistic, and the restaurant adds five extra events a month at a blended ticket of forty-eight hundred.

That is twenty-four thousand a month in extra revenue, on lead flow they are already paying for. The retainer pays for itself in the first booking.

Complete n8n workflow with the Tally trigger, field normalization, OpenAI quote generation, email templating, and Twilio SMS dispatch. Tally form schema with restaurant private events questions, including conditional branching that surfaces full-buyout questions (food-and-beverage minimum, off-peak versus weekend), plated-dinner questions (course count, dietary), and cocktail-reception questions (passed hors d'oeuvres, stations). OpenAI system prompt seeded with realistic per-head pricing across all service styles, bar package tiers, food-and-beverage minimums, AV rental, room fees, and dietary accommodation logic.

Branded HTML email template with per-head pricing, food-and-beverage minimum, sample menu outline, and a one-click consultation booking link. Twilio SMS template that fires alongside the email. Setup guide for the OpenAI key, the Twilio number, the domain authentication, and the brand swap.

Also included: a three-touch follow-up sequence for unbooked events.

Idaho has 2 million residents distributed across major metros including Boise, Meridian, Nampa, Idaho Falls, and Pocatello. Boise has been one of the fastest-growing US metros over the past decade, driving substantial home services demand. New construction is heavy.

The seasonality of restaurant work in Idaho is the single biggest factor that shapes how this ai quote generator actually performs in the market. Four-season cycle. Boise metro has explosive population growth driving home services demand. The template's qualification logic, dispatch rules, and conversation flow are tuned to handle these patterns rather than forcing the agency operator to customize from scratch. Shops that deploy this in Idaho markets see the seasonality framing show up in the conversations from the first call.

Regulatory framework for restaurants in Idaho varies at the local level rather than statewide, which is worth understanding because licensing references in customer conversations need to match local jurisdiction. The agent template handles this correctly by deferring licensing-specific questions to local context rather than asserting state-level rules that may not apply.

Plan three hours including the screen-share with the events coordinator and the general manager. You import the n8n workflow, paste the Tally form into the restaurant's website (or its OpenTable for Business private events page), wire in their domain so the email comes from the restaurant name, swap in the logo and the brand colors, and test by submitting a fake quote for a corporate dinner of forty with plated dinner and full bar.

The pricing logic benefits from a real call with the events coordinator: they will want to set the per-head pricing tiers that match the restaurant's actual private dining menus, set the food-and-beverage minimums by day of week and venue space, tune the bar package tiers based on liquor cost structure, and adjust the AV rental and room fees. That conversation takes forty-five minutes.

Once tuned, the system runs without intervention. Agency operators bill setup at four hundred to seven hundred, retainer at two hundred fifty to four hundred a month.