Process AI

Process AI leverages AI algorithms to analyze vast amounts of process data from SAP systems, providing deep insights into business operations. This enables companies to understand their processes in depth, identify inefficiencies and make data-driven decisions for process improvement, ultimately leading to optimized operations and cost savings. valantic specializes in uncovering in-depth process insights within client’s supply chain management, developing clear visions for subsequent projects.

Process AI can analyze historical process data from SAP systems to predict future process behaviors, potential bottlenecks, or compliance risks. This enables proactive decision-making and allows companies to address issues before they impact business operations, leading to improved process performance and reduced operational risks. We have updated process management systems with predictive analytics models, streamlining adherence to plans and anticipating challenges.

AI-powered process mining tools can create visual representations of actual process flows based on SAP system data. This helps businesses understand how processes actually work in practice, identify deviations from intended processes and optimize value chains across different departments and functions. We implemented AI solutions in the manufacturing industry by assessing existing processes and integrating AI to streamline operations and improve innovation.

Process AI can monitor processes in real-time to ensure compliance with internal policies and external regulations. It can flag potential compliance issues, automate compliance reporting and help manage risks associated with various business processes, reducing the likelihood of costly compliance breaches. We developed a compliant AI chatbot for a company in the chemical industry, emphasizing security and adherence to data protection laws, enhancing internal communication and knowledge sharing.

Process AI can analyze customer interaction data across various touchpoints to optimize customer journeys, predict churn and personalize customer experiences, leading to improved customer satisfaction and loyalty. At valantic we have automated and redesigned the customer interface for a leading automotive company using Conversational AI, leading to reductions in workload and more efficient communication.

By examining sales and marketing processes, Process AI can identify inefficiencies, optimize resource allocation and provide data-driven insights to enhance lead generation, conversion rates and campaign effectiveness. Machine learning has been instrumental in refining demand planning, similar to the enhanced forecasting precision achieved for a client in the food sector.

Process AI can monitor market conditions, competitor pricing and customer behavior in real-time to enable dynamic pricing strategies that maximize revenue while maintaining competitiveness. For instance, AI’s role in benchmarking pricing strategies has supported businesses in navigating complex market landscapes.

Through Process AI it is possible to analyze customer feedback, market trends and product usage data to inform the product development process, helping companies create more innovative and market-responsive products that better meet customer needs. We have created a Conversational AI solution for a major automotive manufacturer, reducing IT overload by handling frequent tickets and inquiries more efficiently.