A 15-hospital health system was spending $120M annually on medical supplies, with $8.5M in waste from expired or obsolete inventory. Each hospital managed its own supply chain independently, leading to wildly inconsistent par levels and frequent stockouts of critical items.

Surgical case delays due to missing supplies occurred 3-4 times per week across the system. Receiving was entirely manual, with 12% of deliveries containing discrepancies that took days to resolve. Waste tracking for regulatory compliance consumed 2 FTEs per hospital.

The system needed a unified, intelligent supply chain that could predict demand, prevent waste, and ensure critical supplies were always available.

The Solution

Agents that forecast, track, reorder, validate, and report across the entire supply chain

Vijan.AI deployed 5 agents across all 15 hospitals. The Demand Forecaster predicts consumption per unit/department using surgical schedules, census data, and seasonal patterns. The Expiration Tracker monitors shelf life across 50,000+ SKUs and triggers redistribution or discount use before expiry. The Reorder agent automatically places purchase orders with approved vendors via procurement APIs when levels approach reorder points. The Receiving agent validates deliveries against POs using barcode scanning and flags discrepancies. The Waste Reporter logs all disposals with reason codes for regulatory compliance.

Autonomous Agents

How each agent reasons, decides, and acts

Step 1 · Optimization

Inventory Manager

Intelligent Inventory Optimization

Calculates optimal par levels, forecasts usage, and triggers automated reorders to prevent stockouts.

Input

Current inventory, usage history, expiration dates, lead times

Output

Optimized par levels with reorder triggers

Calls par level calculation tool to set min/max thresholds per item and location
Calls usage forecasting tool to predict demand based on patient volumes and seasonality
Autonomous decision: reorder items below par, flag slow-moving stock for reduction
Routes reorder requests to Supply Chain Agent for procurement execution

Step 2 · Procurement

Supply Chain Agent

Automated Supply Chain Execution

Places orders with vendors, tracks shipments, and coordinates deliveries to clinical units.

Input

Reorder requests, vendor contracts, delivery schedules

Output

Purchase orders with shipment tracking

Calls order placement tool to generate POs and transmit to approved vendors
Calls shipment tracking tool to monitor delivery status and expedite delays
Autonomous decision: select vendors based on price, lead time, and performance
Routes inbound shipments to receiving and inventory updates to Inventory Manager

Step 3 · Vendor Management

Vendor Analyst

Vendor Performance Analysis

Scores vendors on quality, delivery, and pricing to optimize supplier selection and contract negotiations.

Input

Vendor performance data, contract terms, pricing history

Output

Vendor scorecards with recommendations

Calls vendor scoring tool to rank suppliers by on-time delivery, defect rates, and cost
Calls contract management tool to track expirations and renewal opportunities
Autonomous decision: recommend preferred vendors, flag underperformers for renegotiation
Routes vendor insights to procurement and finance for strategic sourcing

Step 4 · Risk Detection

Bottleneck Detector

Supply Chain Bottleneck Detection

Identifies delays, disruptions, and shortages in the supply chain to enable proactive mitigation.

Input

Order status, shipment delays, vendor alerts, backorder reports

Output

Bottleneck alerts with mitigation recommendations

Calls delay detection tool to flag late shipments and extended lead times
Calls risk assessment tool to predict shortages from supplier disruptions
Autonomous decision: escalate critical shortages, recommend alternate vendors or products
Routes bottleneck alerts to supply chain leadership for rapid response

Step 5 · Regulatory Compliance

Compliance Tracker

Supply Chain Compliance Monitoring

Ensures all supplies meet FDA regulations, tracks product recalls, and validates vendor certifications.

Input

Product data, FDA databases, vendor certifications, lot numbers

Output

Compliance status with recall alerts

Calls FDA check tool to validate medical device and pharmaceutical compliance
Calls recall monitoring tool to detect and quarantine recalled products
Autonomous decision: block non-compliant products, trigger recall procedures
Routes compliance alerts to clinical staff and quality assurance teams

Results

Measurable impact within 90 days of deployment

35%

Waste Reduction

Annual supply waste reduced from $8.5M to $5.5M through expiration management and demand-driven ordering.

Zero

Surgical Delays

Supply-related surgical case delays eliminated entirely. Critical item stockouts reduced by 94%.

$12M

Annual Savings

Combined savings from waste reduction, bulk purchasing optimization, and reduced emergency orders.

95%

Auto-Reconciliation

Delivery discrepancies resolved automatically in 95% of cases. Receiving staff reduced from 3 to 1 per facility.

Implementation

From pilot to production in 12 weeks

Week 1-4

Agent Design & Tool Integration

Defined agent capabilities, connected ML model, rules engine, graph DB, and chargeback API tools. Configured orchestrator routing logic.

Week 5-8

Shadow Mode & Autonomous Tuning

Agents ran in shadow mode on 10% of transactions. Tuned decision thresholds, tool call parameters, and feedback loop retraining frequency.

Week 9-12

Full Autonomous Deployment

Production rollout across all channels. Agents operating fully autonomously with human-in-the-loop for critical escalations only.

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