01 · The challenge
What was holding the business back
Usage data for pharmaceutical products lived in disconnected spreadsheets, distributor reports and pharmacy systems. Teams could only see consumption weeks after the fact.
Without timely visibility, stock planning relied on guesswork, shortages and overstock were common, and spotting unusual usage for compliance review was slow and manual.
- Fragmented data from many sources
- Delayed, manual reporting
- Stock-outs and expired overstock
- Slow detection of unusual usage
02 · Our solution
How we solved it
We built a secure usage-intelligence platform that ingests data from pharmacy, distributor and clinic systems, normalizes it and gives every team one live view of consumption by product, site and region.
Machine-learning models forecast demand per location, while anomaly detection flags unusual usage patterns for review. An AI assistant lets managers ask questions in plain English and get answers with charts and sources.
03 · What we built
Key capabilities
Unified data pipeline
Automated ingestion and normalization from pharmacy, distributor and clinic systems.
Demand forecasting
Per-site, per-product forecasts that support smarter replenishment.
Anomaly detection
Flags unusual consumption patterns and routes them to compliance for review.
Natural-language analytics
Ask questions in plain English and get charts, tables and cited answers.
Role-based access
Granular permissions, audit logs and HIPAA-aware data handling.
Automated reporting
Scheduled reports for leadership, sales and compliance teams.
04 · The outcome
What changed for the client
- One live view of usage across every site
- Proactive replenishment instead of reactive orders
- Faster review of unusual usage for compliance
- Hours of manual reporting removed every week
