Emotion AI
Emotion AI, which is at the Peak of Inflated Expectations, uses AI and software techniques to analyze the emotional state of a user via computer vision, audio/voice input, sensors and/or software logic. Emotion AI turns human behavioral attributes into data. By enabling sales teams to utilize data to actively learn from and empathize with the customer, emotion AI is poised to dramatically change the sales function.
“Emotion AI has already been widely adopted in contact centers, but the sales function has yet to fully realize the technology’s potential,” said Wood. “However, CSOs must navigate privacy concerns and bias, which may be a barrier to successful adoption. For example, privacy and ethics challenges surround psychological profiling, especially when applied to consumers, recruitment prospects or protected individuals like minors. ”
Digital Twin of a Customer
A digital twin of a customer (DToC) is a dynamic virtual mirror representation of a customer that organizations can use to simulate, emulate and anticipate behavior. DToCs, currently at the Innovation Trigger, help organizations better understand their customers and provide a personalized, empathetic service to customers, many of whose buying habits repeatedly change.
“DToCs can transform the way organizations sell products or services and provide customers with better experiences, which will result in increased revenue and lasting customer relationships," said Wood. “DToC can be an engine of transformation and disruption. Organizations need competency in machine learning algorithms and staff with data science skills to build or manage DToCs”
Machine Sellers
Machine sellers, at the early stage of the Innovation Trigger, are nonhuman agents that automate end-to-end selling actions on behalf of human sellers, or a sales organization, to sell products and services in exchange for payment. Currently, machine sellers can be used to facilitate simple and transactional sales.
“Sales organizations deploying machine sellers will gain a competitive advantage by satisfying buyer preferences for seamless purchases and ‘locking-in’ recurring revenue. Organizations that do not adopt machine sellers will risk wasting resources, decreasing efficiency and missing revenue goals,” said Wood. “However, the impact of machine sellers will not be evenly distributed; it will vary by vertical industry, geography and business model”
Gartner clients can read more in “Hype Cycle for Revenue and Sales Technology, 2024”
About Gartner for Sales Leaders
Gartner for Sales Leaders provides heads of sales and their teams with the insights, advice and tools they need to address mission-critical priorities amid mounting pressures to drive growth through new and existing customers. With extensive qualitative and quantitative research, Gartner for Sales Leaders helps sales teams combat commoditization and price-based purchasing, develop critical manager and seller skills, elevate the value of sales interactions, unlock existing growth potential, and optimize sales force enablement. Follow news and update from the Gartner Sales practice on X and LinkedIn using #GartnerSales. Members of the media can find additional information and insights in the Gartner Sales Newsroom.