ClearAction

JUNE 25, 2023

Instead of focusing VoC on touchpoint management , use AI/ML to combine the vast array of customer data sources and to find patterns. So, monitor behaviors that prevent issues. This is proactive rather than reactive, and it’s intelligent versus current less-intelligent practices.

Artificial Intelligence 62

Artificial Intelligence CX CXM Data Mining 62

C3Centricity

NOVEMBER 4, 2020

Clearly, things have changed dramatically and businesses, both B2C and B2B are scrambling to catch up. This is where total integration of all touchpoints is vital. It is indeed exciting times for marketing with all the opportunities that technology, AI and ML offer us, to connect with and engage our customers. CUSTOMER JOURNEY.

ML 71

ML AI Artificial Intelligence Customer Satisfaction 71

SugarCRM

SEPTEMBER 15, 2022

If you look back over the last couple of years, the organizations that managed these challenges more seamlessly were the ones that had already embraced emerging technology-equipped Artificial Intelligence and Machine Learning (AI/ML) capabilities. Tools like Sugar Sell and SugarPredict , give leaders visibility into their sales data.

Manufacturing 26

Manufacturing CRM Artificial Intelligence ML 26

Intercom, Inc.

MARCH 29, 2022

into B2B software. For example, as shown here, a survey from a B2B company is asking a customer what their role is in their company. And based on this criteria, these customers will receive more in-product education along with extra email touchpoints to help get them started. era was obviously characterized by ease of use.

Start-ups 118

Start-ups Innovation Sales NPS 118