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DIG-IN

DIG-IN is a leading F&B data player in Europe, helping restaurants and FMCG brands maximize value from their digital presence. It offers white-labeled solutions and marketplace resources to create optimal conditions for a data-driven booking system.

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Description

Our integrated restaurant reservation system, in partnership with HOST Hotel Systems, offers a streamlined solution for both hotel guests and external customers. By centralizing restaurant bookings within the same platform as hotel reservations, hotel staff can manage all guest services more efficiently. The system is designed to increase visibility for hotel restaurants, helping attract new clientele through an easy-to-use marketplace booking feature. Key benefits include improved guest experience, seamless communication, optimized resource management, and personalized dining options based on guest preferences.

Additionally, the system provides valuable data insights for better decision-making and helps reduce food waste through more accurate inventory forecasting, making it a vital tool for maximizing restaurant potential.

Benefits

Assure more supply and new guest

Integrating hotel restaurants into a booking marketplace allows external customers to easily discover and reserve tables, even if they aren't guests, helping to position these restaurants as local dining destinations.

Enhanced Guest Experience

More personalized dining experience by managing hotel and restaurant reservations in just one software. Hotel/Restaurant staff can easily access guest preferences, including any special dining requests, allergies, or dietary restrictions.

Optimized Resource Management

Integration allows restaurants to better manage their inventory based on upcoming reservations. This reduces food waste, improves order accuracy, and ensures the restaurant is well-stocked to meet demand.

Improved Table and Time Management

The system can automatically update table availability based on bookings from the hotel and external guests, helping the restaurant avoid overbooking and ensuring a smooth flow of service during peak times.

Centralized Data for Analytics

By centralizing reservations and guest data, managers can analyze customer behavior, peak dining times, and popular menu items. This insight optimizes staff scheduling and menu planning, improving service efficiency and reducing operating costs.

Category

Guest Experience

Status

Online

Connection Type

1-way

Partner's website

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