How ServiceNow is Boosting Manufacturing with AI

Quality is an inherent challenge in the manufacturing industry, perhaps more so today than ever before.
In an increasingly fast-paced sector, organisations and their quality teams face multiple issues stemming from a complex mix of technological advances, shorter product lifecycles, geopolitical disruption and global supply chain challenges, as well as ongoing pressure to reduce cost.
Even on their own, these trends represent a significant challenge. Geopolitical factors alone have disrupted 64% of global supply chains over the past two years, according to PwC, while a 50% decrease in average product lifecycles over the past decade has forced manufacturers to update and modify products more frequently, often leading to unanticipated quality issues.
Together, these issues require a holistic approach to quality that includes more robust quality management systems, continuous workforce training and advanced technology integration.
It’s here that AI can provide a significant advantage, according to ServiceNow. The AI platform for business transformation, which already works with manufacturers to provide data-driven insights and performance, has acquired Advania’s Quality 360 to bring AI-powered quality management tools to the manufacturing industry.
Insight, automation and efficiency
Originally built by Advania on the ServiceNow platform, Quality 360 allows manufacturers to proactively identify and resolve quality issues across all stages of production and service delivery, from source identification to containment, corrective action and resolution.
âManufacturers are under increasing pressure to maintain high-quality standards while managing complex supply chains,â says Rohit Batra, vice president and general manager, Manufacturing, Telecom, Media & Tech Industries at ServiceNow.
âBy integrating Advaniaâs Quality 360 into the ServiceNow platform, weâre providing manufacturers with the AI-driven insights and automation they need to proactively manage quality issues, drive operational efficiency and enhance customer trust. This acquisition exemplifies our commitment to partner-led innovation and delivering industry-specific solutions that drive meaningful transformation.â
Quality 360 will be integrated into ServiceNowâs Manufacturing Commercial Operations (MCO) solution, a dedicated platform for enterprise automation.
MCO combines process automation, AI-driven workflows and digital customer engagement to optimise the manufacturing lifecycle for sales, support and service operations.
Major companies including KraftHeinz, Walmart, Apple, Amazon and Expedia use the tools to optimise processes and workflows, while delivering more seamless outcomes.
Quality management powered by AI
Quality 360 will accelerate quality management functionality within the MCO solution and empower manufacturers with proactive, data-driven insights to address end-to-end quality issues, ultimately helping to minimise operational costs and reputational risks.
It delivers AI-powered root cause analysis, automated issue detection and structured resolution frameworks.
With a centralised Quality Workspace, standardised playbooks and real-time communication tools, manufacturers gain a seamless, end-to-end solution to uphold product integrity and customer satisfaction.
“As quality management becomes a critical differentiator, Advania is excited to see Quality 360 join ServiceNow’s Manufacturing Commercial Operations,” explains Hege Støre, Group Chief Executive Officer at Advania.
“ServiceNow’s AI capabilities and scalable platform will empower manufacturers with a proactive, data-driven approach to quality management, helping them mitigate risks and strengthen their competitive edge.”
This latest investment builds on ServiceNow’s focus on co-innovation. Most recently, the business has also collaborated with Siemens on an industrial cybersecurity and AI-driven automation solution.
It has also entered into broader partnerships with companies like Visa and Genesys to co-innovate across industries and enhance workflow automation and customer experiences.
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