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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 SAP Trade Promotion Management?

Increase revenue, volume, and profitability through an all-encompassing trade management strategy. Equip sales leaders in the consumer goods sector to effectively oversee trade promotion planning and execution, making use of advanced trade management analytics while engaging in comprehensive customer business planning with SAP Trade Management. Utilize our integrated tool for customer business planning to improve planning accuracy, quickly spot any deviations from established plans, and address these discrepancies with enhanced efficiency. Combine insights from both manufacturers and retailers to facilitate effective communication and negotiation with customers using their preferred language. Achieve seamless integration of volume, margin, assortment, promotion, and financial planning while ensuring that deductions align with promotional invoices to streamline the clearance process. Maintain vigilant oversight of promotional details and accruals, offer a centralized system for claims reconciliation, and guarantee real-time visibility into payment and funding responsibilities, ultimately creating a more efficient trade management experience. Furthermore, this comprehensive methodology not only simplifies operational processes but also significantly boosts collaboration among all parties engaged in trade management, leading to improved outcomes for everyone involved.

Media

Media

Integrations Supported

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

Integrations Supported

SAP Joule

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Online Training

Company Facts

Organization Name

XTEL AI

Date Founded

1991

Company Location

Italy

Company Website

xtech.ai/

Company Facts

Organization Name

SAP

Date Founded

1972

Company Location

Germany

Company Website

www.sap.com/products/trade-management.html

Categories and Features

AI Tools

Not specified

Retail Execution

Not specified

Revenue Management

Not specified

Categories and Features

Trade Promotion Management

Analytics / ROI Tracking
Budgeting & Forecasting
Customer Management
Discount Management
Pricing Optimization

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