Maximize Customer Lifetime Value with Predictive Sales Analytics from Qymatix AI.
November 19, 2018 —
Qymatix Solutions GmbH is since 2013 helping B2B companies to increase customer lifetime value using predictive sales analytics.
Qymatix is releasing today the second version of its Software-as-a-Service Tool using the latest data visualisation, front-end and data mining technology.
Qymatix has significantly improved the usability of the tool and now offer more advanced functions for sales reports and planning as a stand-alone solution, independent of the CRM or ERP solution the customer is using. These changes enable Qymatix to integrate its software into legacy CRM and ERP systems rapidly and economically. Qymatix also expanded cross- and up-selling, churn and pricing analytics functions.
In addition to front- and back-end improvements, Qymatix also further developed its API (Application Programming Interface). This expansion reduces the future ERP and CRM integration costs of Qymatix Predictive Sales Analytics. With the help of a third-party IaaS, Qymatix can quickly bring Artificial Intelligence to Salesforce, Shopify, Zoho CRM, Magento, Sugar CRM, Microsoft Dynamics CRM and OpenERP, among others.
Furthermore, by applying the newest front-end technology, the adoption of the tool is guaranteed.
Using Qymatix Predictive Sales, B2B companies can now analyse and strength their pricing strategies, find cross-selling opportunities and predict customer churn using Qymatix AI-based technology.
The Qymatix tool includes standard KPI, sales reporting, sales analytics, price intelligence, sales planning capabilities, and follows best practices in B2B sales management.
Qymatix Predictive Sales Analytics Software can increase the productivity of a B2B sales team by approximately 20%. Its usage enables a considerable potential for improvement of the lifetime value within the existing customer base.
Together with these improvements, Qymatix offers now its Predictive Sales Analytics Software as a Service. By using Qymatix Analytical Services, B2B companies can now get valuable sales insights as a service, including churn risk analysis, pricing analytics and cross-selling analysis.
Predictive Sales Analytics is a critical profit driver in Business-to-Business. Expanding ERP-Software and CRM with Qymatix, the Predictive Sales Analytics Solution designed for the Artificial Intelligence era.
Contact Qymatix today to see how Qymatix AI can maximise customer lifetime value with predictive sales analytics.
About Qymatix Solutions GmbH
Qymatix helps B2B companies transform data into actionable insights that support profitable growth. The AI-based Qymatix Predictive Sales Analytics software and CRM provide real-time, actionable information on cross-selling, churn risk and price analytics for traditional and digital channels. Qymatix Solutions GmbH has developed a unique cloud technology that combines data models for machine learning, artificial intelligence, and HTML5 data visualisation for ERP and CRM Systems. Its advanced sales analytics software enables sales managers in business-to-business to perform cross-selling, churn prevention and pricing analytics in one click.
For more information, please visit https://qymatix.de/en/
Release ID: 445817
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The funds launched would primarily be invested in tech, infrastructure, healthcare, tourism and impact-related projects in China.
Maximize Customer Lifetime Value with Predictive Sales Analytics from Qymatix AI. November 19, 2018 — Qymatix Solutions GmbH is since 2013 helping B2B companies to increase customer lifetime value using predictive sales analytics. Qymatix is releasing today the second version of its Software-as-a-Service Tool using the latest data visualisation, front-end and data mining technology. Qymatix […]
The final funding amount was not disclosed by the companies involved.
This puts the Series B round for the AI solutions provider targeting advertising, HR and influencer marketing at a total of US$24.1 million.
The fresh funds will be used to accelerate the company’s APAC expansion.