Predictive opportunity scoring, predictive lead scoring, predictive analytics for forecast ... [ ] management and guided selling are the top four AI-based technologies B2B selling organizations plan to deploy in the next 12 months, according to Gartner. Sales organizations are under increased pressure to reduce selling costs while stabilizing margins and closing only the most profitable deals. Marketing teams across all industries are under increased pressure to increase the quantity, quality and qualification levels of leads that deliver the highest probability of closing this year. AI-based price and revenue management applications and platforms are proving indispensable in keeping sales, marketing, operations, services, accounting and senior management synchronized with real-time updates to achieve more. McKinsey's Global AI Survey: AI proves its worth, but few scale impact survey provides insights into where AI is making its greatest contributions and reducing expenses.

Artificial Intelligence (AI) and machine learning show the potential to reduce the most time-consuming, manual tasks that keep sales teams away from spending more time with customers. Automating account-based marketing support with predictive analytics and supporting account-centered research, forecasting, reporting, and recommending which customers to upsell first are all techniques freeing sales teams from manually intensive tasks. Read Louis Columbus list ten ways in which artificial intelligence is revolutionizing sales on Forbes.

Artificial Intelligence (AI) and machine learning show the potential to reduce the most time-consuming, manual tasks that keep sales teams away from spending more time with customers. Automating account-based marketing support with predictive analytics and supporting account-centered research, forecasting, reporting, and recommending which customers to upsell first are all techniques freeing sales teams from manually intensive tasks. CRM and Configure, Price & Quote (CPQ) providers continue to develop and fine-tune their digital assistants, which are specifically designed to help the sales team get the most value from AI and machine learning. Salesforces' Einstein supports voice-activation commands from Amazon Alexa, Apple Siri, and Google. Salesforce and other enterprise software companies continue aggressively invest in Research & Development (R&D).