Infosys Chemical Manufacturing digitizes systems for testing and certification of bulk raw materials, process intermediaries and finished products. We replace manual methods for sample collection from remote installations and pipelines in hazardous areas with automation solutions. Our digital ecosystem streamlines quality control by supporting dynamic work instructions for ad hoc and regular collection of samples including storage destinations such as field tank farms, dealer sheds and export houses.

Infosys integrates IT-OT systems to facilitate commissioning of digital quality assurance systems at chemical and allied industries. It enables real-time, non-intrusive monitoring of industrial processes as well as transmission and distribution systems for fluids and gases. Automation of quality processes streamlines incident management and accelerates response to emergencies by highlighting breach of critical parameters, be it pH level of rock phosphate, viscosity of emulsion paint, or gas formation in a slurry tank.

Our experienced team maintains a rich repository of templates for migrating legacy quality systems to an autonomous environment. Our templates address the challenges in data mapping, specification management, and laboratory procedures for analyzing diverse chemical elements. Notably, we develop cloud-hosted portals for integrated management of product, laboratory and quality data. Online platforms enable internal teams to readily access historical data of products as well as process performance metrics. At the same time, customers can obtain quality reference records for the product portfolio or a specific batch / lot. Significantly, our portal solution enables prompt generation of reports such as Certificate of Analysis for every shipment.


Challenges & Solutions

Digital workflows for data acquisition and analysis provide traceability across the quality chain.

Automated documentation management and integration of quality control with plant operations augment compliance programs.

Data-driven quality processes, sensor-based smart operations, and digital checklists minimize human intervention for quality management.