SugarCRM enriches CRM with new AI-enabled platform

SugarCRM, creator of time-aware CX, is releasing SugarPredict, providing data-fueled AI for CRM for prediction accuracy.

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 result in more comprehensive and consistent AI models, according to the vendor.

SugarPredict provides accurate predictions, even with limited first-party data, while diligently guarding the privacy and security of company and customer information.  

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“SugarPredict helps companies replace a fragmented, out-of-date, and incomplete picture with a sharply focused understanding of both their customers and business,” said Craig Charlton, CEO of SugarCRM.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.”

SugarPredict leverages Sugar’s time-aware CX platform which provides a full historical record of all change events related to customers and customer-facing processes.

For more information about this release, visit www.sugarcrm.com.