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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 rainmaker?

A revenue management system aimed at optimizing profits across all facets of both group and transient business. Transition from conventional, rule-based revenue strategies to leverage the effectiveness of scientific analysis. Rainmaker employs advanced statistical methodologies to ensure its predictions swiftly adapt to market changes, leading to improved outcome stability. By considering various guest behaviors within your establishment, such as supplementary expenditures, you can boost your revenues by 7-10%. This system is founded on concrete data and is free from rigid guidelines. It functions as a holistic approach to enhancing revenue and profitability. Furthermore, it detects unexpected events or unusual demand patterns that may escape human scrutiny. This meticulous, data-oriented segmentation of demand caters to the unique business environment of your hotel. With forecasting models that account for multiple influences on demand, you can transcend basic rule-based methods and embrace a scientifically grounded strategy that offers a thorough insight into your operational needs. Ultimately, such a system equips you with the tools to make well-informed decisions, paving the way for significant financial advancement and long-term sustainability. This strategic approach not only helps in optimizing pricing but also ensures that your business remains competitive in an ever-evolving market landscape.

Media

Media

Integrations Supported

Accenture Cloud Retail Execution
Databricks Data Intelligence Platform
Deloitte Cascade Suite
EY Cloud Data IQ
Infosys Cortex
Microsoft 365
Microsoft Azure
NTT Global Data Centers
SAP Cloud Platform
Snowflake

Integrations Supported

Accenture Cloud Retail Execution
Databricks Data Intelligence Platform
Deloitte Cascade Suite
EY Cloud Data IQ
Infosys Cortex
Microsoft 365
Microsoft Azure
NTT Global Data Centers
SAP Cloud Platform
Snowflake

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

Cendyn

Date Founded

1996

Company Location

United States

Company Website

www.cendyn.com/rainmaker-revenue-management/

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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