AI-Powered Document Processing for Pharma Distribution
A pharmaceutical manufacturer in India needed real-time visibility into secondary sales data arriving from stockists in inconsistent formats, across thousands of statements every cycle.
Thousands of statements, no two formatted the same.
Stockist secondary sales data arrived as Excel, PDFs, text files and image scans, with inconsistent headers, SKU naming and units across different ERP systems. Processing it manually took weeks, was error-prone, and delayed business decisions.
AI-driven digitization, built for pharma-scale data.
We built an AI-powered pipeline that ingests Excel, PDF, text and scanned image documents, extracts tables from any structural format, and automates SKU identification — mapping varied drug names to a single standardized master list.
Thousands of statements per hour, analytics-ready.
We scaled the platform to process large volumes of stockist statements per hour, delivering standardized, analytics-ready data built for direct integration with BI tools and ERP systems powering expiry control, inventory balance and sales targets.
04 ACCELERATED ROI
Results proven in the field, not projected.
Concrete outcomes from the engagement, not projections.
SCALE
Processes 1,000+ stockist statements per hour, supporting rapid digitization at operational scale.
ACCURACY
>95% accuracy in digitization and SKU mapping, minimizing errors across inventory and sales analytics.
EFFICIENCY
Reduced manual data-entry effort by more than 90%, freeing teams for higher-value work.
SPEED
Actionable insights delivered within hours instead of weeks, enabling faster market response.
Ready for AI your team can actually verify?
Talk to our team about retrieval, evaluation and trustworthy AI systems.
Talk to an Expert