Navi Prompt Playbook: AI Prompts to Boost Restaurant Revenue & Operations

Navi is Eat App's built-in AI assistant, designed to help you run day-to-day restaurant operations faster and make smarter, data-backed decisions. Instead of digging through dashboards and reports, you can simply ask Navi what you need in plain language — from filling tables during slow hours to spotting your highest-value guests.

Below are ready-to-use prompts, grouped by the outcome they help you drive more revenue. Copy any of these into Navi and adjust the details (dates, covers, dish names) to match your restaurant.

1. Filling Tables & Reducing Empty Seats

Find slow periods

"Using my Eat App reservation data from the last 30 days, show me my slowest days of the week and time slots ranked from lowest to highest average covers. Present it as a table with day, time slot, average covers, and % below my daily average, and flag the 3 weakest slots I should focus on filling."

Compare demand trends

"Compare my covers this month vs. last month, broken down by day of the week. Show the numbers side by side in a table, calculate the % change for each day, and tell me which days are declining so I know where to run promotions."

Turn the gap into action

"Based on my slowest dinner shifts in the last 30 days, draft a WhatsApp message (under 60 words, warm and casual tone) offering 10% off for guests who book Tuesday or Wednesday dinner. Include a clear call-to-action to reply or book, and suggest 2 subject-line variations I could test."

2. Reducing No-Shows & Cancellations

Track the trend

"Calculate my no-show rate for each of the last 3 months from my Eat App data, show it as a table with the monthly rate and direction of change, and tell me whether it's trending up or down and by how much."

Spot the risky source

"Break down my no-show rate over the last 3 months by reservation source (walk-in, phone, online, WhatsApp). Rank the sources from highest to lowest no-show rate in a table and highlight which source is costing me the most lost covers."

Prevent tonight's no-shows

"List all reservations for tomorrow that belong to guests with a past no-show in my Eat App history. Show guest name, party size, booking time, and number of prior no-shows, then draft a friendly confirmation reminder message (under 50 words) I can send to that list asking them to confirm or reschedule."

3. Increasing Spend Per Guest (Upselling)

Measure the baseline

"Calculate my average spend per cover this quarter vs. last quarter from my Eat App data, show both figures and the % change in a table, and tell me whether guests are spending more or less per visit."

Target high-value occasions

"Show me all special-occasion bookings (birthdays, anniversaries, celebrations) this month from my guest notes and tags. List guest name, occasion, date, and party size in a table, and suggest one specific add-on I could offer each type of occasion."

Upsell before arrival

"For tonight's reservations, draft a pre-arrival WhatsApp message (under 60 words, inviting not pushy) suggesting our chef's tasting menu, and a separate short message offering a wine-pairing upgrade for tables of 6 or more. Personalize with the guest's first name."

4. Guest Experience & Retention

Know your regulars

"From my Eat App data, list my top 10 repeat guests this year ranked by number of visits. Show name, visit count, last visit date, and any preferences on file so I can recognize and reward them."

Catch guests slipping away

"Identify guests who used to book regularly but haven't dined with us in over 60 days. Show name, total past visits, and date of last visit in a table ranked by how valuable they were, then draft a win-back WhatsApp message (under 60 words) offering a complimentary starter on their next visit."

Prep for the shift

"Show me any guest notes, tags, allergies, or preferences on file for tonight's reservations so I know what to prepare for. Present it as a table with guest name, booking time, and the key note to act on."

5. Reviews & Reputation

Ask happy guests to advocate

"Draft a friendly post-visit WhatsApp message (under 50 words) thanking guests for dining with us last night and inviting them to leave a review, with the review link as the call-to-action. Keep it warm and personalized with their first name."

Find where service is slipping

"From my Eat App feedback and guest notes over the last month, show which nights and shifts received the most negative feedback. Present a table with shift, number of negative notes, and the most common complaint theme so I know where to intervene."

Recover a bad experience

"A guest had a poor experience last night [briefly describe what went wrong]. Draft a sincere recovery message (under 80 words) that acknowledges the issue, apologizes without excuses, and invites them back with a specific gesture. Also draft a short, professional public reply I could post to a 2-star review about slow service."

6. Staff & Operational Efficiency

Forecast to staff correctly

"Using my booking trends from recent weekends, forecast expected covers for this coming Friday, Saturday, and Sunday by time slot. Show it as a table with day, time slot, and projected covers, and flag which shifts will likely need extra servers."

Understand table flow

"Calculate my average table turnover time by day of the week from my Eat App data. Show it in a table and tell me which days tables turn slowest, so I can adjust pacing and seating."

Brief the team

"Draft a concise briefing note for tonight's shift based on my reservations: list the VIPs, any allergies or dietary notes, large parties, and special occasions the team should watch for. Format it as a scannable checklist the floor staff can read in under a minute."

7. Marketing & Growth

Segment for a targeted push

"From my Eat App guest data, tell me which guest segment I should target for a slow-Monday promotion and why. Define the segment (e.g. lapsed regulars, weekday diners), estimate its size, and explain what offer would most likely bring them in."

Find your best acquisition channel

"Break down my guests by acquisition source (Google, Instagram, walk-in, etc.) and show which source brings in guests with the highest repeat-visit rate. Present a table with source, number of guests acquired, and repeat rate, and tell me where to focus marketing spend."

Launch a data-driven campaign

"Analyze my customer base's preferences, visit patterns, and top occasions from my Eat App data, then design a marketing campaign around what they respond to. Include the target segment, the offer, the channel (email or WhatsApp), suggested timing, and a draft message under 80 words."