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What is Qymatix Predictive Sales?

Qymatix, an innovative startup specializing in artificial intelligence, empowers B2B enterprises to transform their sales data into valuable insights that facilitate sustainable growth. Their Predictive Sales Software leverages AI to deliver analytics focused on cross-selling and pricing strategies across both conventional and digital platforms. The company, Qymatix Solutions GmbH, has developed a distinctive cloud-based technology that integrates various data models, enabling the use of machine learning, artificial intelligence, and HTML5 data visualizations tailored for ERP and CRM systems. This sophisticated predictive sales tool empowers sales managers in B2B settings to seamlessly execute cross-selling initiatives, prevent customer churn, and conduct pricing analysis with just a single click, thereby enhancing their operational efficiency and decision-making capabilities. By providing such comprehensive functionalities, Qymatix positions itself as a crucial partner for businesses aiming to optimize their sales performance.

What is Planalytics?

Planalytics employs advanced statistical methods combined with artificial intelligence (AI) and machine learning (ML) to scrutinize vast amounts of sales data while drawing on years of exceptional expertise in forecasting retail demand, which significantly boosts accuracy. A crucial factor for any retail business is the variable demand that can be swayed by weather changes. To tackle this challenge, Planalytics provides customized, localized demand adjustments that effectively evaluate how consumers respond to weather influences. Their analytics, proven in practical applications, are trusted by retail firms functioning in over 75,000 locations. Retailers can easily integrate Planalytics into their current software and AI/ML systems, offering a rapidly deployable enhancement that adds substantial value. This integration serves as an efficient way to tap into the potential of existing demand forecasting mechanisms, allowing businesses to enjoy the financial advantages linked to improved inventory management, marketing strategies, promotions, markdowns, and other critical areas. By leveraging these sophisticated analytics, retailers can greatly enhance both their operational efficiency and their ability to respond to market changes. Ultimately, this not only leads to better decision-making but also fosters a more agile approach to meeting customer demands.

Media

Media

Integrations Supported

Infor CloudSuite Business
LeadRebel
Logility
Mi9 Retail
SAP Analytics Cloud

Integrations Supported

Infor CloudSuite Business
LeadRebel
Logility
Mi9 Retail
SAP Analytics Cloud

API Availability

Has API

API Availability

Has API

Pricing Information

Ask us.
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

Qymatix Solutions GmbH

Date Founded

2013

Company Location

Germany

Company Website

qymatix.de/en/

Company Facts

Organization Name

Planalytics

Date Founded

1996

Company Location

United States

Company Website

www.planalytics.com/planalytics-predictive-demand-analytics/

Categories and Features

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

Sales Analytics

Collaboration Tools
Dashboards
Forecasting Analytics
Ideal Customer Profile (ICP)
Lead Analytics
Pipeline Management
Predictive Forecasting
Predictive Lead Scoring
Sales Intelligence Reporting

Categories and Features

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

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