navan-cost-tuning

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Use when optimizing travel spend with Navan's policy engine, analyzing booking patterns for savings, and configuring the Navan Rewards program. Trigger with "navan cost tuning" or "navan travel savings" or "navan spend optimization".

AI & Automation 2,266 stars 315 forks Updated today MIT

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Skill Content

# Navan Cost Tuning ## Overview Navan's platform includes a built-in policy engine, negotiated rate management, unused ticket tracking, and the Navan Rewards program — but these features require deliberate configuration to deliver savings. This skill covers the full cost optimization lifecycle: setting up travel policies with hard and soft caps, analyzing booking data via the REST API to find savings opportunities, enforcing negotiated corporate rates, recovering value from unused tickets, and incentivizing employees to choose cheaper options through Navan Rewards. No SDK exists — all analytics use direct REST API calls against `https://api.navan.com/v1`. ## Prerequisites - **Navan Admin** account with policy management permissions - **OAuth 2.0 credentials** from Admin > API Settings (client_id, client_secret) - **Historical booking data** — at least 3 months for meaningful analysis - **Navan plan** — Business (free for up to 300 employees), Expense ($15/user/month after 5 free), or Enterprise (custom) - Pricing details: https://navan.com/pricing ## Instructions ### Step 1 — Analyze Current Spend via API Pull booking data to identify where money is being lost: ```bash # Authenticate ACCESS_TOKEN=$(curl -sf -X POST https://api.navan.com/ta-auth/oauth/token \ -H "Content-Type: application/x-www-form-urlencoded" \ -d "grant_type=client_credentials&client_id=${NAVAN_CLIENT_ID}&client_secret=${NAVAN_CLIENT_SECRET}" \ | jq -r '.access_token') # Fetch last 90 days of...

Details

Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

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