Qual-IS™ is the unique solution by Sidel to merge all activities related to quality control - laboratory, traceability, and sampling - in a digitally, intelligent and integrated way. It is a pioneering approach to quality management, focusing on driving quality rather than simply monitoring it.
Over 80% of grocery companies define a financial risk from product recalls as either significant or catastrophic while almost 60% have been affected by a recall event in the last five years1. For all grocery brands quality control and food safety is their chief concern.
“Qual-IS™ is our latest digital solution - a smart, dynamic quality control system, specifically designed to sustain a high level of quality control at all times thanks to its advanced traceability and data analytics,” explains Enrico Savani, Product Manager for Sensitive Product Filling. “Our customers are able to secure food safety & quality with Qual-IS™ ensuring consumer satisfaction, trusted brand reputation, and boosting business and profitability.”
Qual-IS™ is a digital solution accessed through mobile, desktop, or HMI installed on the production line and across laboratory facilities. Qual-IS™ integrates six key components including a sampling plan; laboratory management; traceability; hazard analysis and critical control points (HACCP); calibration certificates and quality status.
An integrated process: traceability, sampling and laboratory management
Traceability lies at the heart of Qual-IS™. Each bottle is allocated and printed with a unique code, which holds all the information connected to that bottle over the course of its manufacturing life including preform and cap used, product recipe, production process parameters and even critical factors, events and alarms.
Equally, sampling is an essential part of quality control systems and Qual-IS™ comes pre-loaded with both tailormade and pre-designed sampling patterns which are based on a statistical approach and Sidel’s wider experience operating within the beverage industry for over fifty years. Using data intelligence, these sampling patterns will also automatically adjust following the results of microbiological tests and will also adapt to different production lines.
