"MapBoost" Launches AI Review Response Tool Specialized for Restaurants: Automated Generation of Replies Including Dish Names and Multilingual Support

Mycat Inc. (Headquarters: Meguro-ku, Tokyo) has launched a new AI review response tool specialized for restaurants as part of its AI Google review automation service, "MapBoost" (https://mapboost.space).

Tool URL: https://mapboost.space/tools/restaurant-reply

Tool Overview

This tool is a web-based application that allows restaurants (including cafes, izakayas, ramen shops, and takeout specialty stores) to automatically generate responses to Google Business Profile reviews, tailored to the specific characteristics of the food and beverage industry.

The AI detects the dish and menu names mentioned in the reviews and generates responses that include specific references to those items. Instead of generic templates, it enables personalized replies based on "which dishes the customer enjoyed."

Key Features

Feature 1: Automated Review Analysis and Dish Name Detection

The tool automatically extracts the following elements from the input review text:

• Dish/Menu Name Detection: Extracts food-related terms such as "lunch pasta," "omakase course," or "daily set meal."
• Sentiment Analysis: Determines if the review is positive (e.g., delicious food, good atmosphere), negative (e.g., bland taste, small portions), or neutral.
• Categorization: Classifies the feedback into six categories: taste, service, atmosphere, wait time, cost-performance, and hygiene.
• Multilingual Detection: Automatically detects reviews in English, Chinese (Simplified/Traditional), and Korean.

Feature 2: Automated Selection of Restaurant-Specific Response Templates

Based on the analysis, the tool selects and customizes templates for the following scenarios:

• Replies to Positive Reviews: Includes the specific dish name and adds supplementary information such as "commitment to ingredients" or "cooking techniques."
• Encouraging Repeat Visits: Naturally incorporates information about seasonal or new menu items, such as "Next month, [ingredient] will be in season."
• Replies to Negative Reviews: Expresses a commitment to improvement based on specific feedback regarding taste, temperature, or service speed, using a factual and professional tone.
• Multilingual Replies: Automatically generates responses in the same language as the review (English, Chinese, or Korean) to support inbound tourism.

Feature 3: Customization Options

• Tone Setting: Choose from three levels: Casual (for izakayas/cafes), Standard, or Formal (for fine dining).
• Length Adjustment: Short (under 80 characters), Standard (approx. 150 characters), or Detailed (over 250 characters).
• Automatic Insertion: Automatically inserts store names or chef names based on initial settings.
• Seasonal Information: Suggests seasonal ingredients or menu items based on the current month.

Background on Review Management for Restaurants

According to a 2023 survey by MOLTS Inc., over 70% of consumers refer to Google reviews when choosing a restaurant. Furthermore, a survey by Effectual Inc. indicates that approximately 65% of consumers have a positive impression of businesses that respond to reviews.

However, because restaurants are often busy with peak-time operations, finding the time to write thoughtful responses to every review remains a challenge...