Blog

Overcoming obstacles is part of the sales process for any B2B company. The increasingly competitive landscape of B2B sales has created even more challenges for sales reps and made it ever more difficult to succeed. Many (errantly) assume that salespeople only control so much of the process and the potential outcomes.

Cross-selling is a way to get customers to spend more by purchasing complementary products or services. Extracting more value from existing customers allows you to get a bigger return without really increasing your investment. After all, you’ve already invested the money and effort to get the customer this far—taking things a step further with cross-selling is just the natural progression.

When it comes to managing your CRM sales pipeline and other aspects of your customer relationships, there’s always room for improvement. A solid CRM platform and management strategy can help you track and nurture leads, customers, and other relationships as they make their way through the sales pipeline. Of course, it doesn’t work on its own. You have to know how to make your CRM work for you to maximize your efforts.

The case for generative AI in business is strong. Like its sibling conversational AI, this tool is all about taking advantage of all that data floating around out there to enhance the customer experience and deliver a better solution. But what’s the difference between generative and conversational AI? And how can you put generative AI to work for lead generation?

Voice bots are changing the way companies handle customer service. Today’s intelligent bots are designed to interact with customers and provide a more natural experience. They utilize machine learning to train themselves on how to simulate natural conversation, analyzing droves of data to deliver a contextually accurate, personalized response.

The battle of the bots is upon us. Outdated systems like automated callers and IVRs are challenged by AI tools like voice assistants and chatbots that can not only deliver that automated service but do so in a personalized manner. For most people, it’s clear that the new AI voice assistants are a much better option than previous tools that are still being used by many. For others, it might be more confusing if you don’t know much about AI or how all this tech-savvy communication works.

When you hear about ChatGPT and other AI tools, you often hear about the vast amounts of data that they can cultivate and utilize. But where does that data come from? There are a few different sources, depending on the type of AI tool you’re using and what kind of information is relevant. Understanding this can help you see all that you can gain from AI when you use it correctly.

Customer service has always been an ever-evolving effort to perfect the customer experience. Almost all of us have had at least one frustrating experience with phone-based customer service, if not more. And then companies try to solve the issue with IVRs, which only fight half the battle.

With the growing popularity of AI tools like ChatGPT, businesses are starting to take notice of how artificial intelligence can improve several aspects of their operations. Conversational AI has a promising future. Moreover, it’s already helping businesses make changes and process improvements. One big focus is the use of AI in the customer experience.