Though we are witnessing cognitive technologies increasingly becoming embedded in many different areas of marketing, sales, service and product management, here are a few scenarios with the maximum potential to drive quick gains in business by leveraging proof of concept approach, as well as for those enterprises which are testing the waters.
Data decisioning enables dynamic pricing based upon desirability of product, sales data and customer context.
Intelligent search results based upon past data, social preferences and customer context. Search through natural language be it voice or text. Intent based search beyond search keywords.
Use actionable insights to monitor inventory levels across different warehouses and identify the optimal delivery options.
Insights based recomm.
Self-learning engine to continuously refine offers and recommend them based upon customer explicit and implicit data.
Help customers to find products that are right for them with minimal effort. Provide options for customers to have a conversation with the system to help guide them to the product of choice.
Intelligent product management
Reduce order rejection rate through cognitive application suggesting the right product mix.
Order recommendations based on previous purchase history and customer usage to save shipping cost.
Parts selection and application
Selecting the right part for the service is a critical and complex activity. Recommends the best suitable part based on parts application data with multiple attributes.
Suggests clearance sale based on inventory optimization and supply chain network optimization.