AI (artificial intelligence) is the revolutionary factor of business: in every industry it is defining new strategies, new processes and renewed operations.
Each business sector derives multiple benefits from the implementation of an ERP, such as Microsoft Dynamics 365 which also combines all the CRM features, in an all-in-one solution. Here are some examples where the integration of Dynamics 365 with AI, is doing and will make the difference:
AI and machine learning can test hundreds of models and possibilities of forecasting demand with a new level of precision, automatically adapting to different variables, such as the introduction of new products, supply chain interruptions or sudden changes in demand. Using AI systems, each individual part can be monitored from the time it is produced for the first time to when it is assembled and shipped to the end customer.
Robots can automate repetitive accounting functions, including the classification of billing information into various accounts, and even the distinction between a monthly phone bill and a payment to a telephone purchase. The AI can close operations and automate monthly, quarterly and year-end processes, even comparing account balances between different independent systems and verifying declarations and reports to verify accuracy. Using machine learning, robots can even learn from different human inputs to get better judgments and adapt to the behavioral patterns of different accounting professionals.
AI solutions can learn from the customer service history, allowing chat robots to respond to customer requests in a cheaper, faster and more consistent way. The quality of customer service can also be improved by integrating real-time data from different departments to customers, providing a 360-degree view of the customer. When the customer requests a field service, an AI solution can use the knowledge about the required skill set and the parts required to assist in planning and scheduling of service calls.
The Dynamics 365 Talent module is able to capture, read and evaluate candidates and quickly eliminate 75% of them from the hiring process. AI systems can plan, organize and successfully coordinate training programs for all staff members. By determining individual affinities and revealing who should get an increase or who might be dissatisfied with the work-life balance, AI systems can be proactive and solve the problem of employee abandonment before this happens.
Currently, sales automation systems are about monitoring, reporting and team productivity. The next wave will focus on making individual interaction smarter using data to determine which content, which responses and which sales games are most likely to generate results. AI can be introduced at the beginning of the process by extracting Big Data from outside the organization to help representatives create complete profiles of their goals. In addition, customer commitments for internal sales can be fully automated, conducting a basic sales triad, such as information gathering, initial qualification and segmentation and real-time response management.
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