SugarCRM has launched
SugarPredict – a new, easy to implement AI tool to overcome the inaccuracies
and inconsistencies typically found in CRM data.
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.”
As the first of many SugarPredict-powered
capabilities in Sugar Sell, SugarPredict analyses 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.
SugarCRM Launches SugarPredict
By Mark Atterby
Mark Atterby
Mark Atterby is an accomplished Australian journalist, editor, and content specialist with over 18 years of experience covering the customer experience (CX), contact centres, and business technology. Throughout his career, Mark has specialised in examining the intersection of technology, operations, and human engagement. His reporting routinely explores the critical trends reshaping modern contact centres, from AI-driven automation and omnichannel integration to agent wellbeing and frontline operational strategy. As the Editor of CX Focus, he leads coverage on the strategies, innovations, and leadership practices driving excellence across the region's service economy.