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Amla Developer Balaji Ingole Builds AI E-Commerce Tools

Amla project manager Balaji Ingole is developing AI agents that reduce e-commerce catalog setup times from months to weeks, highlighting the growing impact of automation in retail logistics.

IEEE Spectrum AI1 day agoBusiness
Image: IEEE Spectrum AI

Balaji Ingole, a project manager who joined B2B e-commerce firm Amla in July 2025, is designing AI-enabled chatbots to automate the tedious process of setting up product catalogs. Traditionally, uploading thousands of products, adjusting names, entering prices, and updating images is a manual process that takes online retailers two to three months to complete. Ingole's new AI agent is designed to guide clients step-by-step to finish the entire setup in just two weeks.

Beyond client-facing tools, Ingole has automated his own workflow at Amla. Project managers typically spend 10 to 12 hours each week compiling status reports. To reclaim this time, Ingole built an AI agent that runs every Monday morning. The agent executes a 12-step workflow that reads his emails, extracts key highlights, identifies risks, maps timelines, and automatically generates a written status report, allowing managers to focus on higher-level strategy.

Ingole's work at Amla builds on a diverse career in engineering and project management. After graduating with a mechanical engineering degree from India's COEP Technological University in 2008 and earning an MBA from the Welingkar Institute of Management in 2017, he managed IT systems for U.S. Medicaid programs at Gainwell Technologies. Alongside his corporate roles, Ingole is an active independent researcher. He has published more than 40 peer-reviewed papers in the IEEE Xplore Digital Library and holds six patents in the United Kingdom and India.

His patented inventions include an AI-powered wearable health monitor and an AI-based breast cancer detection tool. Currently, he is also collaborating on a brain-computer interface to help paralyzed, nonverbal patients control household appliances. For e-commerce and software practitioners, Ingole's dual path demonstrates how rigorous academic research can directly inform commercial AI development, turning complex data governance into highly efficient, real-world applications.

This is our own summary of reporting by IEEE Spectrum AI

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