Simply reacting to disruption is a losing strategy. Process Intelligence gives you a proactive edge by transforming information you sweep under the rug into real-time process visibility and predictive power.
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Empower teams with alerts and dynamic dashboards, replacing static reports and enabling confidence.
Tailor offers and provide live order preparation monitoring, reducing "Where is my order?" calls.
Boost productivity and intercept deviations without adding headcount, unlocking profit margins.
Pinpoint root causes of where issues surface and originate to ensure positive impacts of kaizen.

Provide insights needed to understand existing processes and move beyond merely addressing the consequences of inefficiencies.
Business Intelligence (BI) provides a high-level overview of a company's current state through reports and dashboards. Data Mining takes a deeper step, analyzing large datasets to find correlations, patterns, and predictions. Process Intelligence, however, focuses specifically on monitoring processes in real-time to visualize actual execution, identify deviations and bottlenecks and predict future events. Its goal is to automate and optimize business processes by understanding how they are truly executed.
Machine Learning and AI are integral to QAD Process Intelligence, complementing process mining to automate data management and analysis. A notable advancement is the introduction of Generative AI, which aims to democratize the power of process mining and make it more accessible to business process experts. This digital assistant, built on a private and secure Large Language Model (LLM), can respond to common language questions, guide users through system navigation, and summarize insights about specific processes.
QAD Process Intelligence leverages event logs from information systems and company applications like ERP, WMS and CRM to identify and map all activity and processes in real-time. This allows users to zoom from a high-level aggregate view of an entire process to a single flow, providing unit-level visibility and revealing abnormal results in just three clicks. This capability eliminates the need for manual data collection and enables a precise vision of how processes are actually operated on the ground, revealing inefficiencies and opportunities for optimization at each stage. The software can also be implemented rapidly, with pre-packaged implementations completed in an estimated 4 to 6 weeks.
Are you interested in exploring QAD Adaptive Applications? Do you have specific questions, comments or feedback? Get in touch with us!
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