In the past, marketing systems could only make decisions based on a fixed set of assumptions and narrowly defined inputs and outputs,'' according to the report. This typically requires improved demand-planning and replenishment capabilities that harness the power of AI.' 'As the number of sales channels used by consumers continues to grow, retailers should continue to improve how they plan across multiple sales channels-and how they handle disruptions. It can also be used in tandem with Internet of Things devices to sense the sentiments and needs of connected customers and to personalize the customer experience, the report said.Ĭonsumer demand planning, forecasting and marketing will also be enhanced through AI, the report said. SEE: Digital transformation: A CXO's guide (free PDF) (TechRepublic)ĪI can help by automating customer interactions through the use of chatbots. The report also highlighted the top emerging AI use cases that are expected to have a major impact on the industry's future.įor example, in customer service, one of the largest segments of customer relationship management, it is now possible to personalize the customer experience across all channels, using machine learning, conversational AI and natural language processing through the customer journey and lifecycle, the report said.

For each industry, the report highlighted the most valuable, business-ready use cases for AI-related technologies and examined the key business issues and opportunities, how AI can help and the benefits that are likely to be achieved.

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