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AI Agent PoC for Logistics

AI agents are transforming how insurance teams operate, automating manual tasks, optimizing claims and polict. In this guide, we break down how a secure, AWS backed AI Agent Proof of Concept (PoC) can help you move from idea to ROI in just weeks.

Why AI Agents now

10-40%
Reduction in delivery costs

achieved through AI-driven route optimization, minimizing fuel use, delays, and rerouting inefficiencies.

65%
Improved service levels

35% better inventory management, and 5% lower logistics costs observe damong early adopters of AI.

5-15%
Reduction in emissions

by applying AI to optimize freight routes and consolidate loads across supply networks.

(Sustainability Directory), 2024
A one-year delay could cost businesses millions in revenue and customers.

Proven use cases for AI Agents in logistics

Dynamic Pricing AI Agent
Autonomous Freight Bid & Price Optimization

Instantly analyze market demand, carrier capacity & costs to automatically bid on loads or set optimal freight prices, maximizing profits.

Example: Submit a $2,850 bid for a Dallas-Chicago FTL route, winning the load while securing 12% higher margin.
Contract Negotiation AI Agent
Autonomous Supply Chain Negotiation

Negotiate purchasing terms with suppliers, ensuring best prices, timely deliveries, and consistent supply even under volatile conditions.

Example: Secure 8% bulk discount on 200,000 units from supplier in Georgia, to accelerate delivery by 3 days.
Risk Assessment AI Agent
Real-time Supply Chain Disruption Remediation

Continuously monitor global events and immediately execute contingency plans to maintain supply chain flow when disruptions occur.

Example: Reroute cargo vessel from Port of Miami to port Everglades, avoiding a 48-hour hurricane delay.

Logistics AI agent readiness assessment

Assessing your readiness across these dimensions enables targeted investments and smoother AI adoption. We can guide you through this process, ensuring your organization is equipped to maximize AI Agents’ business and operational value.

Data infrastructure
  • Is your logistics data unified and accessible in real-time across TMS, WMS, ERP, and fleet systems?
  • Can you manage structured (e.g., shipment records) and unstructured data (e.g., images) securely?
Data governance
  • Are there policies ensuring data privacy, compliance (e.g., ISO 27001, GDPR), and AI accountability?
  • Do you have oversight to track AI performance, decision accuracy, and risks like bias or compliance gaps?
Talent and skills
  • Do you have AI engineers, data analysts, and other tech experts with logistics expertise?
  • Are your field teams trained and equipped to work with AI tools and integrate them into daily workflows?

Your next steps with us

According to McKinsey & Company, early adopters of AI in supply chains have seen logistics costs decrease by 15%. There has never been a better time to act.

Book an AI workshop

You’ll walk away with 3 validated AI ideas + effort & ROI estimates tailored to your business.

Schedule your workshop
Unlock AWS PoC funding

Explore programs that can help accelerate your AI initiatives with cost-effective support.

Learn more
Define your AI strategy

We’ll help you identify the high impact use cases and guide your team through a phased approach.

Plan your roadmap
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