Tata Chemicals Ltd. has implemented an AI-powered procurement system from Digitate to improve oversight of company spending and reduce inefficiencies across its operations in India, the U.S., the U.K., and Kenya.
It calls the new system ignio cognitive procurement. It uses machine learning to:
- Analyze purchasing behavior
- Flag duplicate or non-compliant purchases
- Automate routine procurement tasks such as contract tracking and reporting.
The rollout follows a year-long development effort between Tata Chemicals and Digitate, a software provider known for its enterprise AI platforms. Tata Chemicals Ltd. is a global manufacturer of industrial chemicals and consumer products.
Tata Chemicals also is part of the $150 billion Tata Group. The group produces a range of materials used in glass manufacturing, detergents, food ingredients, and fertilizers. With more than $3 billion in annual revenue and operations spanning four continents, the company’s procurement operations include a high volume of indirect purchases — spend areas that typically lack centralized control.
How Tata Chemicals is using AI for procurement
By adopting Digitate’s system, Tata Chemicals is looking to reduce repeat purchases, improve reporting accuracy, and enforce internal compliance standards. The company has already deployed the platform across all of its India facilities and plans to expand its use in North America, Europe, and Africa.
“We have branded this initiative as Saksham internally,” said K. R. Venkatadri, chief commercial officer of Tata Chemicals. “It has improved the visibility and efficiency of our procurement teams.”
Digitate said Tata Chemicals served as a charter customer, helping shape product development from early prototypes to implementation. Key features of the system include AI-based spend classification, automated audit checks, and predictive insights aimed at optimizing vendor management and purchasing patterns.
Akhilesh Tripathi, CEO of Digitate, said the tool is designed to give companies better insight into procurement operations while reducing the manual effort required to manage them.
“TCL has been instrumental in defining how this technology can work at scale,” he said.
The deployment comes as manufacturers and large enterprises increasingly turn to AI to modernize back-office functions. Indirect procurement — covering everything from office equipment to maintenance services — is often fragmented and difficult to track across departments. AI systems promise to standardize purchasing behavior, improve compliance, and reduce unnecessary costs.
The companies did not disclose financial details of the implementation.
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