System in Motion and Ningbo GreenHealth Share AI Practices for Pharmaceutical Manufacturing

System in Motion and Ningbo GreenHealth Share AI Practices for Pharmaceutical Manufacturing

On the afternoon of November 12, 2026, System in Motion and Ningbo GreenHealth jointly hosted a practical AI seminar for pharmaceutical manufacturers at Ningbo Shipu Hotel. Representatives from more than ten pharmaceutical companies attended to learn about AI applications in business management and explore potential uses in quality management, audit preparation and R&D.

Over the past year, System in Motion and GreenHealth have worked together to develop AI applications around specific needs in day-to-day business management. The seminar drew on actual projects from this collaboration, sharing the implementation process and lessons learned, from organizing source data and building reports and dashboards to introducing database Q&A. Simulated quality and audit examples illustrated additional areas for companies to explore.

Representatives from more than ten pharmaceutical companies attended the practical AI seminar.

The event banner for the practical AI seminar jointly presented by System in Motion and Ningbo GreenHealth.

Bringing Dispersed Data Together for Better Access to Business Information

Inventory, production, costs and sales are essential inputs for management decisions. Yet this information is often spread across different departments’ systems and spreadsheets. Bringing it together and reconciling reporting definitions are necessary steps toward a complete view of business performance.

System in Motion’s collaboration with GreenHealth began with business reports and dashboards. By organizing inventory data, workshop records and customs material records, the team progressively developed reports and dashboards covering workshop inventory, company-wide inventory, costs and profitability, and customs material balances. These views allow managers to review business information in one place.

The project then added database Q&A capabilities. Managers can ask about inventory and sales in natural language and follow up with questions by workshop, product or other dimensions. Reports and dashboards provide an overview, while database Q&A supports detailed queries and further analysis. Together, they make information access more responsive to everyday management needs.

Applications developed through the collaboration include database Q&A, customs reports, cost and profitability analysis, and inventory dashboards.

Exploring Quality Investigations and Audit Preparation

Building on the business management applications, System in Motion also shared potential uses in quality management and audit preparation, using simulated cases to explain how AI could support these tasks.

An OOS (out-of-specification) investigation example illustrated how AI can help organize investigation records, analyze clues and draft root-cause hypotheses for validation, along with proposed corrective actions. For audit preparation, AI can assist with searching standard operating procedures, batch records, change control documents and audit checklists, helping staff check document versions, related records and completeness.

These applications depend on traceable source materials and verifiable results. Business and quality personnel need to review AI-generated analysis and recommendations against original records and evidence from the site, then make decisions and carry out follow-up actions through established procedures.

A simulated OOS investigation: AI helps analyze clues, propose hypotheses for validation and draft action recommendations.

Starting with a Specific Task and Evaluating the Results

For companies considering their first AI application, the seminar offered practical guidance: list recurring business questions, identify the relevant documents and data sources, assign responsible staff, and select a task with a manageable scope and results that can be checked.

Management and business users should both participate in using and evaluating the pilot. Output quality, actual usage and the effort required for review all matter when deciding whether an application delivers a practical improvement and what to implement next.

The past year of collaboration between System in Motion and GreenHealth shows how companies can start with existing data and specific needs, evaluate AI in everyday tasks, and use the results to determine their next steps. By sharing these experiences with representatives from more than ten pharmaceutical companies, the seminar provided a practical reference for manufacturers exploring AI applications.

Explore AI Applications for Your Business

If your company spends considerable time consolidating business data or searching for documents, or is exploring AI applications in quality management, audit preparation or R&D, contact System in Motion to discuss your needs. Together, we can review your business needs and existing data, identify suitable applications to prioritize, and discuss a practical implementation approach.

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