SugarCRM Launches SugarPredict to Take the Guesswork Out of Sales with AI for All

SugarCRM Inc., the innovator of time-aware CX, today announced the launch of SugarPredict, the first data-fueled AI for CRM. SugarPredict delivers new levels of prediction accuracy without the time, cost, and technical expertise typically required for companies to take advantage of AI.

Read More: Coveo Appoints Brand And Experiential Marketing Leader, Sheila Morin, As Senior Vice President Of…

“AI can solve a number of sales and marketing barriers today, putting it at the heart of CRM”

Fifty-two percent of sales leaders say their CRM is costing them lost revenue, according to new research from SugarCRM that examines the lack of customer visibility that plagues most companies. The quality and consistency of the data entered by CRM users can create challenges for basic AI systems. SugarPredict takes a different approach by enriching customer data with additional attributes that results in more comprehensive and consistent AI models. SugarPredict provides accurate predictions, even with limited first-party data, while diligently guarding the privacy and security of company and customer information.

“AI can solve a number of sales and marketing barriers today, putting it at the heart of CRM,” said Paul Greenberg, president of the 56 Group and author of CRM at the Speed of Light. “Sales teams that lean into AI-powered CRM can take advantage of the lead insights and opportunity models that give them a significant competitive advantage.”

Read More: SalesTechStar Interview with Jim Nystrom, Chief Sales Officer at Cogito

As the first of many SugarPredict-powered capabilities in Sugar Sell, the technology is being used to take the guesswork out of lead prioritization, lead Ideal Customer Profile (ICP) alignment, and opportunity-to-close-won scoring. SugarPredict analyzes historical account, deal, and company data to accurately predict which leads are most likely to become customers. Lead scoring is based on similarity to historical conversions (converted leads or closed-won opportunities), while ideal customer profile matching identifies leads that are similar to a company’s past and current customer bases.

“SugarPredict helps companies replace a fragmented, out-of-date, and incomplete picture with a sharply focused understanding of both their customers and business,” said Craig Charlton, CEO of SugarCRM. “We’ve made significant product investments, over the last year, to democratize AI to drive business performance and enable predictability for companies of all sizes.”

Read More: Couchbase Cloud Now Available On Microsoft Azure

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

AIcrmCXNewsprediction accuracyproduct investmentsSugarCRMSugarPredict
Comments (0)
Add Comment