We enable our customers to use and expand generative AI in Customer Relationship Management (CRM) and Supply Chain Management (SCM). Example use cases are:
Automated lead generation: Generative AI can analyze customer data and identify patterns to automatically generate leads that are likely to convert.
Customer segmentation: By analyzing customer data and behavior, generative AI can segment customers into different groups based on factors such as purchase history, demographics, and interests. This can help businesses tailor their marketing and customer service efforts to specific customer segments.
Predictive analytics: Generative AI can be used to predict customer behavior and preferences, as well as identify trends in the market. This can help businesses make better decisions about product development, marketing, and supply chain management.
Automated customer service: Generative AI can be used to create virtual assistants and chatbots that can handle routine customer service tasks, such as answering frequently asked questions and providing order status updates.
Demand forecasting: Generative AI can be used to analyze sales data and market trends to forecast demand for products. This can help businesses optimize their supply chain management and production processes to meet customer demand.
Dynamic pricing: Generative AI can be used to analyze market data and customer behavior to set prices dynamically based on factors such as demand, inventory levels, and competitor pricing.