PwC India’s journey to AI-driven efficiency

Key challenges

PwC India manages indirect taxation for clients across various industries, each with a diverse range of products.

The classification of these products for HSN codes was handled manually by PwC's team, making the process slow, error-prone, and resource-intensive.

This manual approach created challenges in maintaining accuracy, consistency, and efficiency, especially with the increasing volume of client products.

To address these issues, PwC needed an automated solution to streamline product classification and improve operational efficiency.

Client in spotlight

PwC India, a branch of the global professional services network PricewaterhouseCoopers (PwC), is a leader in providing audit and assurance, consulting, and tax advisory services. With a strong presence in the Indian market, PwC India is committed to helping businesses navigate complex challenges with innovative solutions. As part of its ongoing transformation, PwC India has increasingly embraced digital technologies to enhance its service offerings and drive operational efficiencies, ensuring its clients remain competitive in an ever-evolving business landscape.

Unlocking Digital success

Ideation

Kellton’s team aimed to automate the HSN generation process for PwC India by using AI to streamline the classification. The goal was to create an easy-to-use system where users could input product names and descriptions, and the system would automatically generate the appropriate HSN codes.

Our approach

Our approach focused on leveraging cutting-edge AI technology to automate the HSN classification process efficiently. We planned to integrate the master data for PwC India’s customers’ into the system and develop logic powered by large language models (LLMs) to analyze product descriptions and generate accurate HSN codes. The solution also incorporated intelligent prompts to gather additional user inputs, refining classification accuracy.

Outcomes

The AI-driven HSN classification system automates accurate HSN generation, reducing manual effort and errors. With a seamless user experience, employees can easily upload product details for classification. This has cut the workload in half, requiring just 5 employees instead of 10, improving efficiency and saving time.

Project outcomes

The AI-driven system provides highly accurate HSN classifications, reducing the risk of human error and ensuring consistency across all product classifications

By automating the HSN classification process, the system eliminates the need for manual intervention, saving valuable time and resources

Users like tax professionals, customs officials, and business owners can now upload product details and rely on the system to accurately classify HSN codes automatically. The new solution has significantly reduced the workload on PwC employees. Instead of requiring 10 employees, only 5 employees are now needed to manage the HSN generation process in the Indirect Tax department

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