top of page
GauVendi

PRESS: GauVendi Takes Another Step Towards an Open, Feature-Based Inventory Platform

Updated: Nov 6, 2023

Frankfurt, August 01, 2023: GauVendi is advancing its disruptive approach to rethinking inventory, which has already been successfully implemented in the GauVendi Sales Engine, towards an open, feature-based inventory platform.


GauVendi started in 2020 with an innovative AI-driven booking experience that provides accommodation providers with a comprehensive solution for hyper-personalized sales and fulfillment automation. It was mainly deployed as a stand-alone solution. With this evolution, accommodation businesses and technology providers can now explore new avenues in sales, distribution, operational efficiency, and marketing of inventory. They benefit from highly automated processes without major system overhauls.


"We aim to offer every operator the opportunity to distribute their inventory in a scalable manner, much like it was previously only possible through personal sales - and all of it fully automated," says Markus Müller, CEO, and co-founder of GauVendi. "With the open API interface, all technology providers can now sell relevant and customizable inventory through their platforms. Our solution acts as an additional layer integrated into the existing tech stack, enabling differentiated sales and automation without significant changes to the current system landscape," adds Müller.


GauVendi's platform is the only one worldwide that provides a feature-based language and a dynamic product management system with its approach. The open API approach ensures seamless integration with other technology providers. Feature-based inventory can be transformed into relevant and tailored accommodation products using the AI recommendation model. The result is a transparent guest experience right from the booking process and significant time savings during reservations through intelligent and optimized room assignments.


The newly established inventory management platform and the associated new products and solutions were developed based on experiences gained from implementing the Sales Engine with existing hotel customers, their achieved results, and the acquired data. The new data structure enables the introduction of advanced automation possibilities, including dynamically optimized and intelligent room assignments using AI (Reinforcement Loops), going far beyond the largely manual and limited assignments used until now.


In today's era of personalization, the data structure in the form of categories for inventory management has proven to be inadequate. It lacks information about individual room features in data formats, making it challenging for operators to fulfill guest requests without significant manual and operational efforts. Any inquiry about specific room characteristics is handled offline and requires manual processing. Monetizing these features is also not possible, and the lack of personalization reduces the competitiveness of accommodation businesses compared to others.


Müller adds, "These problems are a thing of the past with the use of GauVendi. The results our customers achieve with our current solution validate this: significant increases in room revenue, considerable time savings through new automation features, a reduction in phone and email inquiries, and better guest reviews and check-in experiences."


***

About GauVendi

Founded in 2020 by experienced industry experts, GauVendi is an AI-based, feature-based inventory management platform for individualized sales, differentiated distribution and innovative automation for hospitality businesses. GauVendi converts room categories into feature-based inventory and, in turn, into relevant and tailored stay products for better guest experiences, distinct brand positioning, improved operational efficiency and maximum return on investment. By the way, GauVendi stands for "Gaudium Venditio," which means the joy of selling.

34 views0 comments

Recent Posts

See All

Comments

Rated 0 out of 5 stars.
No ratings yet

Add a rating
bottom of page