Skip to main content
🚚 Logistics🏗️ 4 Tech Levels🚀 Production-Grade

Route Optimization AI

See 4 architectures solve real problems: MCP → RAG → Multi-Tool → Multi-Agent

November 28, 2025
demointeractiveroute-optimizationlogisticsmulti-agent
🤖Demo 1 of 4

Advanced Multi-Agent System

BOFU: Production LangGraph with Router → Specialized Agents → Aggregation

1. Select Analysis Scenario

Route requiring Traffic Predictor + Constraint Validator + Cost Optimizer collaboration
Competitors: Stop 1: Warehouse (6:00 AM pickup), Stop 2-17: Delivery locations (8 AM - 5 PM windows), Stop 18: Return to depot (by 6 PM)

2. Monday's Prompt

This positioning analysis prompt from Monday's insight will be processed by Tuesday's agents in Wednesday's workflow.

3. Run Multi-Agent Workflow

You'll see 5 AI agents: Data Collector → Messaging Analyzer → Position Mapper → Strategy Advisor → Insight Generator
↓ Next Demo ↓
🔌Demo 2 of 4

MCP Tool Use Pattern

TOFU: LLM calls tools via Model Context Protocol - see real tool execution

Automation Task

User query → LLM decides tool → Executes calculate_route_distance → Returns result

Monitoring:Warehouse to Stop 1 to Stop 2 to Stop 3
ai-agent-terminal

Terminal ready. Run simulation to begin.

↓ Next Demo ↓
🔍Demo 3 of 4

RAG-Based Search

MOFU: Search 100+ historical routes with vector similarity

Search Query

"Discover Route Patterns from 500+ Historical Routes"

Embed query → Search 500+ route vectors → Retrieve top 23 similar routes → Generate pattern analysis

Document Sources:Route 1: 12 stops, beat estimate by 18 min, Driver: Mike, Date: Jan 15, 2025Route 2: 14 stops, beat estimate by 22 min, Driver: Sarah, Date: Feb 3, 2025Route 3: 11 stops, beat estimate by 15 min, Driver: Mike, Date: Jan 22, 2025...20 more similar routes

RAG Vector Search Network

Embedding
Searching
Generating
Query
Vector
Documents
Result

Search Results

Run visualization to see results

↓ Next Demo ↓
🛠️Demo 4 of 4

Multi-Tool Orchestration

MOFU: Multiple tools working together automatically

ROI Analysis

Orchestrator calls: Scraper(25 routes) → Analyzer(detect issues) → Optimizer(suggest fixes) → Reporter(generate summary) → Alert(notify dispatchers)

Integrations:Route 1: Chicago suburbs, 12 stopsRoute 2: Downtown, 8 stopsRoute 3: North Shore, 15 stops...22 more routes
Manual Process

Time to Complete

240 min

Cost per Analysis

$850

Data Points Analyzed

150

Accuracy Rate

73.0%

Reports per Day

2

Error Rate

18.0%

Ready for Production Route Optimization System?

We'll build your custom system: MCP tools (TOFU) → RAG search (MOFU) → Multi-tool (MOFU) → Multi-agent (BOFU). From demos to deployment in 8 weeks. Start with 25 routes, scale to 1000+.

Book Architecture ReviewStart with MCP Tools (TOFU)
©

2026 Randeep Bhatia. All Rights Reserved.

No part of this content may be reproduced, distributed, or transmitted in any form without prior written permission.