Stockist Secondary Sales Automation
Automated extraction, validation, and intelligence generation from unstructured vendor sales data.
Project Overview
Industry
Pharmaceutical / Life Sciences
Team
What We Faced
Key obstacles that demanded innovative solutions and strategic thinking.
Unstructured Vendor Data
Vendor sales information arrived in PDF formats with inconsistent layouts and naming conventions, making automated processing difficult.
Manual Data Entry Bottlenecks
Sales data extraction relied heavily on manual entry, taking nearly two weeks to complete and consuming significant resources.
Accuracy & Deadline Pressure
Tight early-month planning timelines increased the risk of errors, directly impacting production decisions and market responsiveness.
Delayed Business Decisions
Late availability of validated sales data limited the organization's ability to plan production and respond to market demand efficiently.
What We Aimed For
Eliminate manual entry of vendor sales data
Accelerate availability of early-month sales insights
Standardize medicine nomenclature across vendors
Improve data accuracy and validation reliability
Enable faster and error-free production planning
How We Solved It
Comprehensive solutions designed for scale, integration, and measurable impact.
OCR-Based Data Extraction
Deployed a robust OCR engine to extract structured sales data from unstructured vendor PDF files.
AI-Powered Data Cleaning & Mapping
Implemented intelligent post-processing pipelines to clean extracted data and standardize medicine names across different vendor conventions.
Automated Validation Framework
Validated extracted data against client specifications and business rules, significantly reducing errors and rework.
End-to-End Automation
Eliminated manual data entry by automating ingestion, processing, validation, and delivery of sales data.
Impact Delivered
Tangible outcomes that transformed operations and drove measurable business value.
Accelerated Data Availability
Processed and validated sales data became available within the first 5–6 days of the month, enabling timely planning.
High Data Accuracy
Achieved 95% accuracy, dramatically improving trust in sales insights and downstream decisions.
Significant Resource Savings
Saved approximately 6,000 company hours per month previously spent on manual data wrangling.
Improved Production Planning
Early, reliable insights eliminated planning errors and improved responsiveness during critical decision windows.
Strategic Focus Shift
Teams transitioned from data preparation to high-value analysis and decision-making.