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What is XTEL AI?

XTEL represents a cutting-edge AI platform specifically designed for commercial operations, aimed at helping businesses convert their data into actionable strategies and execute them proficiently. Within its framework, XTEL features multiple modules, including ADAM (Augmented Data Management) for efficient data ingestion and standardization, RGM (Revenue Growth Management) which delivers insights and strategies from a holistic company perspective, MAX AI focused on maximizing profit and revenue outcomes, TPX for the comprehensive management of trade promotions from start to finish, and REX for ensuring effective retail execution across various channels, customers, and distribution methods. Tailored for enterprise applications, XTEL is structured with a modular and scalable architecture supported by open APIs, complies with industry standards such as ISO, SOC, and GDPR, and operates on the Azure platform to accommodate both centralized and decentralized models. The AI and data science facets of the platform are specifically crafted for the consumer goods industry, allowing for personalization, extensive back-testing, and maintaining transparency to build trust and reliability. Additionally, XTEL's pioneering technology not only serves as an essential tool for businesses aiming to boost their operational effectiveness but also plays a critical role in fostering sustainable growth in a highly competitive landscape, making it a key asset for future-oriented companies.

What is Wave RMS?

Wave integrates advanced AI technology with a personalized approach, allowing contemporary revenue managers to break free from the limitations of conventional 'black box' revenue management systems. This groundbreaking platform provides an unparalleled degree of simplicity and oversight that is often lacking in traditional RMS solutions. Featuring a unique strategy builder tool, Wave enables revenue managers to create customized AI models that align with their hotel's individual strategies, thus increasing transparency in pricing recommendations and allowing hotel operators to concentrate on running their businesses effectively. Moreover, Wave appeals to hotels that do not currently employ an RMS yet seek a comprehensive revenue management framework. It is specifically crafted for properties of all sizes that face challenges in analyzing and leveraging their data due to limited capacity and resources. In addition to these features, the platform automates demand forecasting using non-linear calculations, enhancing price elasticity evaluations and facilitating more informed decision-making in revenue strategies. Ultimately, Wave not only streamlines revenue management processes but also transforms how hotels approach their financial optimization, ensuring they remain competitive in a rapidly evolving marketplace. As a result, users can expect to see significant improvements in their revenue management outcomes, setting a new standard in the industry.

Media

Media

Integrations Supported

Accenture Cloud Retail Execution
Agilysys Analyze
Agilysys Visual One
Deloitte Cascade Suite
Infosys Cortex
Mews
Microsoft 365
Microsoft Azure
NTT Global Data Centers
Opera
Rezlynx
SkyTouch Hotel OS
Snowflake
Stayntouch PMS
Summer.fi
Triptease
apaleo
mycloud PMS
roommaster

Integrations Supported

Accenture Cloud Retail Execution
Agilysys Analyze
Agilysys Visual One
Deloitte Cascade Suite
Infosys Cortex
Mews
Microsoft 365
Microsoft Azure
NTT Global Data Centers
Opera
Rezlynx
SkyTouch Hotel OS
Snowflake
Stayntouch PMS
Summer.fi
Triptease
apaleo
mycloud PMS
roommaster

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

XTEL AI

Date Founded

1991

Company Location

Italy

Company Website

xtech.ai/

Company Facts

Organization Name

SHR

Date Founded

1987

Company Location

United States

Company Website

shr.global/wave-revenue-management-system/

Categories and Features

Retail Execution

AI / Image Recognition
Collaboration Tools
Data Collection
Inspection
Pricing / Placement Optimization
Product Education
Product Promotion Strategy
Retail Site Audit
Workforce Management

Revenue Management

Competitor Analysis
Dynamic Pricing
For Airlines
For Hospitality Industry
Forecasting
Inventory Control
Price Optimization
Recommendation Engine
Yield Management

Trade Promotion Management

Analytics / ROI Tracking
Approval Workflow
Budgeting & Forecasting
Claims Management
Competitor Analysis
Compliance Management
Customer Management
Discount Management
Pricing Optimization
Promotion Calendar
Settlement Management
Trade Agreement Management

Categories and Features

Revenue Management

Competitor Analysis
Dynamic Pricing
For Airlines
For Hospitality Industry
Forecasting
Inventory Control
Price Optimization
Recommendation Engine
Yield Management

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