Analytics

CRM trends in 2025 will rely on artificial intelligence to move beyond hype and reshape customer relationships and experiences like never before. With innovations such as conversational AI and emotionally intelligent bots, businesses must prepare for a transformation that combines empathy and effici...

Combining AI with human expertise in sales forecasting and CRM systems can optimize sales pipelines, improve accuracy, and drive better decision-making for increased revenue growth.

As businesses seek more efficient ways to connect with customers, the demand for AI-driven CRM solutions is surging.

The 2024 holiday shopping season isn't shaping up well for retailers, but the emergence of artificial intelligence offers a chance to optimize performance and increase customer satisfaction.

AI integration is leading one of the most innovative merchandising trends by creating a conversational-like online shopping experience. But the process requires retraining consumers to shop a new way.

Jonathan Moran from SAS discusses how AI is advancing CRM beyond contact centers and marketing and what's needed to ensure its responsible use.

Contrary to what some folks think about the “recent” discovery of artificial intelligence for business uses, AI as a computing function is not novel. What is new is its growing adoption for expanded uses and the ability to transform data into actionable business strategies.

Bigeye's new Dependency-Driven Monitoring platform is a data observability solution that allows enterprise data teams to see more trustworthy results from their CRM systems.

Revenue teams have grappled with organizational changes and unpredictable buyer behavior in recent years. Resolving those two factors is increasingly challenging for revenue leaders to empower teams with the insights needed to call accurate forecasts, effectively manage their pipeline, and hit their...

The concept of CRM evolving into a "customer personal assistant" is feasible and aligns with the broader trend of AI-driven personalization and automation. However, its success depends on various factors, including the organization's resources, technology infrastructure, and available data quality.

In today's competitive market, adding a human touch to e-commerce buying is a strategic need. It shows a deeper awareness of changing consumer expectations beyond the obvious benefits of improving customer pleasure and loyalty.

As the holiday shopping season approaches, the timing of SMS marketing messages takes on heightened importance. Effective scheduling not only influences consumer engagement and open rates but also plays a crucial role in achieving sales success.

SugarCRM is incorporating predictive AI to enhance its CRM capabilities, offering sales agents data-driven insights for more effective decision-making.

Small and mid-sized businesses in the e-commerce space have long struggled to compete with the might of retail giants. Now, generative AI is emerging as a cost-effective solution that could level the playing field.