Analytics and AI

Artificial Intelligence (AI) and analytics are indispensable in propelling digital transformation efforts, particularly influencing Enterprise Resource Planning (ERP). With the rapid progression of technology and computing power, organizations across various sectors are generating immense amounts of data daily, impacting ERP processes. The significance of this data lies in its potential to extract actionable insights, facilitate strategic planning, and drive innovation within the ERP framework. In this context, AI and analytics emerge as pivotal tools, facilitating the extraction of value from the vast amounts of data generated and collected across the enterprise, optimizing ERP functionalities. Analytics is commonly categorized into descriptive, prescriptive, diagnostic, and predictive types, enhancing the ERP landscape. AI algorithms contribute not only to predictive and prescriptive analytics but also empower companies to develop innovative ERP capabilities, exemplified by advancements such as Industry 4.0.

Magnifying glass examining holographic AI dashboards above a robotic manufacturing production line, symbolizing scrutiny of agentic AI claims in ERP platforms from SAP, IFS, Epicor, QAD, and Syspro
Analytics and AI
AI Reality Check: Separating Agentic Claims from Manufacturing Substance
Agentic AI announcements now arrive weekly from SAP, Epicor, QAD, Syspro, IFS, and Oracle, but delivered functionality follows a very different schedule. A five-point scorecard shows which manufacturing ERP claims stand up to evidence and which remain adjectives.
Manufacturing Systems and Automation
QAD Redzone’s Pune Hub Points to the Real AI Gap in Manufacturing
QAD Redzone’s Pune hub is more than an India engineering expansion. It reflects a larger shift toward AI-enabled manufacturing execution, where ERP, MES, connected worker tools, and frontline decision-making need to operate as one control loop.
SAP agentic AI manufacturing Hannover Messe 2026
Analytics and AI
Breaking the Execution Barrier: Why Agentic AI is Rewiring Manufacturing ERP
QAD | Redzone showcased its agentic AI manufacturing platform at Hannover Messe 2026. It is designed to turn passive ERP systems into autonomous engines of real-time execution. Here's what it means for enterprise technology leaders on the shop floor.
Analytics and AI
The Rise of Intelligent Business
AI is rewriting the rules for ERP users in the manufacturing and supply chain industries.
Tackling the Industry’s Biggest Challenges to Drive Manufacturing Forward
Analytics and AI
Tackling the Industry’s Biggest Challenges to Drive Manufacturing Forward
Manufacturers face numerous challenges today, including rising costs and skills gaps, but QAD aims to transform these obstacles into opportunities through pragmatic AI solutions, low-code extensibility, and a deep understanding of industry-specific needs.
QAD Process Intelligence
Analytics and AI
Gen AI in manufacturing: Finding value with Process Intelligence
As AI adoption accelerates, its integration with business expertise, particularly through tools like Process Intelligence, is crucial for organizations to enhance efficiency and mitigate inventory losses, ultimately improving profit margins.
Tackling the Industry’s Biggest Challenges to Drive Manufacturing Forward
Analytics and AI
Gen AI in manufacturing: Evolving automation and processes
As more companies move towards using AI to automate their processes, solutions like QAD Process Intelligence use Gen AI for process mining, allowing organizations to visualize, optimize and monitor key business processes.
AI
Analytics and AI
Gen AI in manufacturing: Uncovering inefficiencies in processes
To optimize processes and enhance visibility into inefficiencies, organizations can leverage QAD’s Process Intelligence solution, which utilizes Gen AI in manufacturing processes to visualize workflows, identify root causes, and provide real-time alerts, leading to significant cost savings.
robotic hand
Business Process Management and Automation
QAD’s new scheduling and AI tools to lift manufacturers’ productivity
QAD has introduced new scheduling and AI enhancements to its Adaptive ERP application, including advanced scheduling solutions and a generative AI assistant named Champion, to help manufacturing and supply chain businesses improve productivity and navigate modern business complexities.
Close up image of the word AI? on a whiteboard | QAD AI
Analytics and AI
Has buzzword proliferation killed AI’s street cred? Enter Pragmatic AI
Attaching the AI buzzword to any ‘latest-and-greatest’ product has unwittingly created a negative association. Having a pragmatic approach to AI can help provide a clearer understanding of its capabilities.
Computer code on a screen that is in focus at the top and out of focus at the bottom | Capgemini
Analytics and AI
Will AI Pose a Threat to the ERP Marketplace
The live panel discussion explores how AI could reshape the ERP marketplace by highlighting both its potential benefits and challenges for resource management, featuring insights from industry leaders on the future of enterprise resource planning.
Analytics and AI
Introducing QAD ERP O³ – Optimizing People, Processes, and Systems
QAD ERP O³: Cloud-optimized ERP with AI for manufacturing excellence, simplifying upgrades and boosting productivity.
Analytics and AI
Introducing Miny-Generative AI in QAD Process Intelligence
Meet Miny, QAD’s innovative digital assistant, revolutionizing process mining with Generative AI. Miny integrates seamlessly into QAD Process Intelligence, making advanced process mining accessible and actionable for all businesses. Designed to simplify complex interactions, Miny leverages a secure version of OpenAI’s GPT-4 to answer common queries, guide system navigation, and provide tailored insights. This empowers business process experts beyond traditional centers of excellence, bridging the skills gap without extensive upskilling. Launching this fall, Miny enhances ROI and streamlines implementation, bringing unprecedented efficiency and insight to your organization.
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