Case study · Public hospital · Oncology pharmacy

Agentic inventory intelligence

High-cost oncology stock managed across an ERP, several dispensing exports, and spreadsheets — with no shared drug codes or units, and ordering dependent on one buyer's judgement.

03 · Public hospital · Oncology pharmacy

Assembled entirely from registered tools

A sovereign agentic workflow unifies stock, dispensing, and procurement data, forecasts demand, and recommends orders — assembled entirely from registered tools. Non-clinical operations only.

Ingest Harmonise Forecast Recommend Monitor
The bottleneck

High-cost oncology stock managed across an ERP, several dispensing exports, and spreadsheets — with no shared drug codes or units, and ordering dependent on one buyer's judgement.

What we built
  • Ingest of ERP stock and purchase orders plus multi-source dispensing data
  • Harmonisation of units and drug codes to one canonical schema
  • Multi-algorithm demand forecasting with confidence intervals
  • Dual-model order recommendations — statistical and buyer-mirrored
  • Disruption monitoring from public alerts and supplier email
Outcome

One explainable operating picture for the pharmacy. Recommendations are always shown with reasoning and never auto-selected — the pharmacist stays accountable for the order.

Now reusable

schema_harmonise · demand_forecast · disruption_monitor — a supply-operations stack that transfers to any provider setting.

This is the deployment behind the Supply chain & hospital operations page — the same ingest, harmonise, forecast, and recommend pattern, generalised for any provider's inventory problem.

See the Supply chain & operations solution →

See the other three deployments.

Client names, references, and full results available under NDA.

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