Case Study: Tata 1mg achieves faster, more accurate prescription processing with Simplismart

TATA 1mg boosts prescription parsing to 95% with Simplismart

Tata 1mg, a major Indian healthcare provider, faced a significant challenge in manually processing hundreds of thousands of noisy, handwritten prescriptions each month. This manual review created a throughput cap of 300k prescriptions, caused customer drop-offs due to long wait times, and consumed 1-2% of the average order value in costs. To scale its operations, lower costs, and ensure data privacy compliance, Tata 1mg partnered with vendor Simplismart to automate its prescription workflow.

Simplismart implemented its MLOps platform to manage the end-to-end lifecycle of Tata 1mg's prescription parsing models. The solution provided faster inference, distributed training for rapid fine-tuning, and built-in observability. As a result, parsing accuracy improved from ~80% to 95%, model training time was cut from 3 days to 1.5 hours, and time-to-production was reduced to weeks. This eliminated manual stalls, recovered revenue from abandoned carts, and allowed Tata 1mg to scale its operations seamlessly.

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