2018 Sales Sales Analytics Software 
QYMATIX
OCTOBER 25, 2022
Artificial intelligence and Machine learning revolutionize B2B Sales & Marketing. Machine learning and artificial intelligence (AI) in sales are not dreams of the future. According to Gartner, 30% of all B2B companies will already use AI next year to expand at least one of their sales processes.
QYMATIX
AUGUST 14, 2023
Creating and using sales forecasts is essential for any B2B company. It is also one of the most important tasks for sales managers who use sales forecasts for sales planning and strategy. There are many ways to create sales forecasts. For many B2B companies, sales forecasting is a never-ending story.
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QYMATIX
NOVEMBER 22, 2022
AI in B2B sales: How exactly can B2B companies use Artificial Intelligence to support their sales? The management consultancy KPMG estimates that global AI investments will increase from twelve billion US dollars (2018) to 232 billion by 2025. How can AI make your B2B sales more successful?
QYMATIX
JUNE 14, 2022
It is usually implemented using B2B pricing analytics software. How exactly can a pricing analytics software help you? Setting the price right has always had a more significant impact on profits than reducing sales costs or increasing volumes. Dynamic pricing is not accomplished without controversy.
QYMATIX
SEPTEMBER 27, 2022
If you are leading a Business-to-Business manufacturer or distributor, you know it already: sales is currently experiencing a massive transformation across the globe. Predictive analytics is becoming increasingly popular in B2B sales. The buying decision is already taken, when the B2B buyer contacts sales.
QYMATIX
NOVEMBER 13, 2023
Machine-aided tools are becoming near-ubiquitous in the B2B wholesale space, whether for predictive sales , content marketing, analytics or other support. The software available in the marketplace can be used to understand customer behaviour, improve supply chain management and boost inventory optimisation.
QYMATIX
APRIL 20, 2021
2018 said Carlie J. In the early days of BI (around 1990), the use of such software was considered an enormous competitive advantage. In the last 30 years, the world has changed, and so have the requirements of companies for data analysis software. In sales, however, the situation is usually different. That’s right.
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