Skip to content
Seyhun Akyurek
Back to Projects
Active
Supply Chain

Vector

End-to-end supply chain intelligence — demand planning, route optimization, warehouse automation, and real-time visibility.

Azure AI Foundry
Azure Maps
Python
FastAPI
Azure Database for PostgreSQL
Azure Cache for Redis
Azure Kubernetes Service
+30%
Delivery Speed
-25%
Logistics Cost
97%
On-Time Rate
100%
Visibility

Project presentation

Download MP4

Live system presentation

Vector · Agent Mesh

ORCHESTRATORSupply ChainPlanningACTIVELogisticsNODE 02WarehouseNODE 03VisibilityNODE 04RiskNODE 0512345678
Step 1Real-time

Demand Signal

Ingest demand signals from POS, orders, and market data.

POS integrationOrder feedsMarket signalsSeasonal patterns

Technical Design

End-to-end supply chain intelligence platform with demand planning, route optimization, and warehouse automation. AI agents coordinate across logistics operations.

System Components

Demand Planner

Multi-node demand forecasting

Route Optimizer

AI-powered delivery routing

Warehouse Agent

Pick-path and labor optimization

Visibility Tracker

Real-time shipment monitoring

Risk Detector

Supply chain disruption detection

Data Flow

Demand Signal
Supply Planning
Procurement
Warehouse Operations
Transport Execution
In-Transit Monitoring
Delivery
Analytics

Technology Choice

Azure AI Foundry + LangChain

Azure AI Foundry provides optimization models for routing and planning. LangChain coordinates complex multi-step logistics workflows with real-time adjustments.

Alternatives Considered

Blue Yonder + Custom ML, Kinaxis + Semantic Kernel

Core Frameworks

Azure AI Foundry

Optimization and forecasting models

LangChain

Logistics workflow orchestration

Azure Maps

Route optimization and tracking

FastAPI

Supply chain API endpoints

Implementation Plan

Demand Intelligence

4 weeks
  • Demand forecasting
  • Signal processing
  • Seasonality modeling

Logistics Optimization

5 weeks
  • Route optimization
  • Carrier selection
  • Load planning

Warehouse Automation

4 weeks
  • Pick optimization
  • Slotting
  • Labor scheduling

Visibility & Risk

3 weeks
  • Shipment tracking
  • ETA prediction
  • Disruption detection

Key Milestones

Demand forecast accuracy >93%
Route optimization working
Warehouse efficiency +30%
100% shipment visibility

Risk Mitigation

Manual override for urgent shipments
Backup carriers for disruptions
Conservative safety stock during model updates

Key Features

Route Optimization

AI-powered delivery route optimization considering traffic, weather, and delivery windows.

Warehouse Automation

Intelligent pick-path optimization, slotting, and labor scheduling for warehouse operations.

Demand Planning

Multi-node demand forecasting with supplier lead time and capacity constraints.

Shipment Tracking

Real-time shipment visibility with predictive ETA and delay alerts.

Carrier Selection

AI-optimized carrier selection based on cost, reliability, and service level.

Risk Detection

Supply chain disruption detection with alternative routing and contingency planning.

How It Works

1

Demand Signal

Real-time

Ingest demand signals from POS, orders, and market data.

POS integration
Order feeds
Market signals
Seasonal patterns
2

Supply Planning

Daily

Generate supply plans balancing demand, capacity, and constraints.

Demand allocation
Capacity check
Constraint solving
Plan generation
3

Procurement

Weekly

Execute procurement actions with optimal supplier selection.

Supplier selection
PO generation
Delivery scheduling
Cost negotiation
4

Warehouse Operations

Continuous

Optimize warehouse picking, packing, and shipping workflows.

Pick optimization
Pack routing
Label generation
Dock scheduling
5

Transport Execution

Per shipment

Execute optimized routing and carrier selection.

Route calculation
Carrier booking
Load optimization
Documentation
6

In-Transit Monitoring

Real-time

Track shipments and manage exceptions in real-time.

GPS tracking
ETA updates
Delay alerts
Exception handling
7

Delivery & Confirmation

At delivery

Confirm deliveries and capture proof of delivery.

Delivery confirmation
POD capture
Exception logging
Customer notification
8

Analytics & Optimization

Weekly

Analyze performance and continuously optimize operations.

Performance review
Cost analysis
Model updating
Process improvement

Multi-Agent Architecture

Planning Agent

Generates demand forecasts and production/distribution plans.

  • Demand forecasting
  • Capacity planning
  • Production scheduling
  • Inventory allocation
  • Constraint optimization

Logistics Agent

Optimizes transportation routes, carrier selection, and delivery scheduling.

  • Route optimization
  • Carrier selection
  • Load planning
  • Delivery scheduling
  • Cost optimization

Warehouse Agent

Manages warehouse operations including picking, packing, and inventory.

  • Pick-path optimization
  • Slotting optimization
  • Labor scheduling
  • Inventory management
  • Quality control

Visibility Agent

Tracks shipments and provides real-time status updates and predictions.

  • Shipment tracking
  • ETA prediction
  • Delay detection
  • Exception management
  • Customer notifications

Risk Agent

Monitors supply chain risks and recommends contingency actions.

  • Risk monitoring
  • Disruption detection
  • Alternative routing
  • Contingency planning
  • Impact assessment

Use Cases

E-Commerce Fulfillment

Optimize last-mile delivery and warehouse operations for online orders.

Manufacturing Logistics

Coordinate inbound and outbound logistics for manufacturing operations.

Cold Chain Management

Monitor temperature-sensitive shipments with real-time alerts.

Cross-Border Trade

Optimize international shipping with customs and compliance automation.

Returns Processing

Automate reverse logistics with AI-powered routing and disposition.

Multi-Modal Transport

Optimize across road, rail, air, and sea transport modes.

Interested in Vector?

Get in touch to discuss how this solution can be tailored to your needs.