newhorizon.ai valid
New Horizon: A New Approach to Supply Chain Planning
New Horizon develops software using Machine Learning and AI for Demand Planning, Sales and Operations Planning, Supply Planning and Inventory Optimization
For agents: New Horizon Soft makes ML-based enterprise software for supply chain planning: demand planning, supply planning, S&OP, and inventory optimization.
supply chain planningdemand planninginventory optimizationsopprocurement software
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-23T19:21:38.615Z. Cached copy · Source on newhorizon.ai
# New Horizon: A New Approach to Supply Chain Planning
> New Horizon develops software using Machine Learning and AI for Demand Planning, Sales and Operations Planning, Supply Planning and Inventory Optimization
Generated by Yoast SEO v28.7, this is an llms.txt file, meant for consumption by LLMs.
## Pages
- [About New Horizon v2](https://www.newhorizon.ai/about/): New Horizon Soft is a global enterprise software company focusing on supply chain planning including demand planning, supply plan, S\&OP and inventory optimization
- [About New Horizon](https://www.newhorizon.ai/about-old/): New Horizon Soft is a global enterprise software company focusing on supply chain planning including demand planning, supply plan, S\&OP and inventory optimization
- [AI\-Powered AP Automation](https://www.newhorizon.ai/ai-powered-ap-automation/): New Horizon Buyers Workbench is an optimization procurement tool to optimize truck load and to recommend investment buy
- [Home](https://www.newhorizon.ai/): New Horizon Soft is a global enterprise software company focusing on supply chain planning including demand planning, supply planning, S\&OP and inventory optimization
- [AI\-Based Demand Forecasting Guidebook](https://www.newhorizon.ai/ai-based-demand-forecasting-guidebook/)
## Posts
- [Your Supply Chain Is Hitting Its Targets\. But Is It Actually Improving?](https://www.newhorizon.ai/blogs/supply-chain-hitting-targets-but-not-improving-managing-vs-optimizing/): Are you just managing your supply chain or actually improving it? Learn how to move past recurring bottlenecks and build a planning process that optimizes performance over time\.
- [A Plan Is Only as Good as Its Constraints \- The Planning Edge \| Issue \#2](https://www.newhorizon.ai/newsletter/a-plan-is-only-as-good-as-its-constraints-the-planning-edge-issue-2/): Learn how RCCP helps supply chain leaders identify capacity constraints, evaluate tradeoffs, and approve feasible plans before execution problems emerge\.
- [Non\-resilient supply chains: The hidden costs of heroic rescues](https://www.newhorizon.ai/blogs/non-resilient-supply-chains-the-hidden-costs-of-heroic-rescues/): When your supply chain depends on a few experienced planners to hold the plan together, that's not resilience — it's risk\. Here's what it costs and how to fix it\.
- [Rough Cut Capacity Planning Best Practices: How to Build a More Reliable Capacity Planning Process](https://www.newhorizon.ai/blogs/rough-cut-capacity-planning-best-practices-how-to-build-a-more-reliable-capacity-planning-process/): Learn nine rough cut capacity planning best practices to improve S\&OP, identify capacity constraints earlier, compare planning scenarios, and make better supply chain decisions\.
- [Welcome to The Planning Edge \- Issue \#1 ](https://www.newhorizon.ai/newsletter/welcome-to-the-planning-edge/): Navigate supply chain volatility with The Planning Edge\. Get monthly, practical insights on AI\-driven planning, proactive buying, and in
…
Related sites
Find similar publishers by meaning →
Other listed sites in AI and machine learning. See the whole category →
| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| sourcey.com | Sourcey | interface AI and machine learning AI agents and MCP | — | 70 | ✓ | ✓ | |
| gofrantic.com | Frantic | interface AI and machine learning AI agents and MCP | — | 61 | ✓ | ||
| intellweb.ai | Intellweb | documentation Ecommerce Productivity +3 | US | 61 | ✓ | ✓ | |
| agentwebmap.com | Agent Web Map | interface AI and machine learning AI agents and MCP +1 | FR | 60 | ✓ | ✓ | |
| cloudflare.com | Cloudflare | interface Infrastructure AI and machine learning +1 | — | 85 | ✓ | ✓ | |
| adobe.com | Adobe Tools | transactional AI and machine learning Design +1 | FR | 75 | ✓ | ||
| intel.com | Intel Corporation | documentation Industry and manufacturing Consumer electronics +1 | US | 74 | ✓ | ✓ | |
| opera.com | The Opera browser overview | documentation Infrastructure AI and machine learning +2 | NL | 74 | ✓ |
Machine-readable: GET /v1/resolve?q=newhorizon.ai · GET /v1/domain/newhorizon.ai · this page as Accept: application/json or text/markdown · MCP lookup_domain
Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.
Own or manage this website?
If you own or manage newhorizon.ai, you can update its listing and review file health, discovery activity and score history.
Manage this listing — optional
What verification unlocks
See how your site is discovered—and control what agents see.
- See your website in the map
Review your indexed topics, nearby publishers sharing headings, measured listing exposure and map snapshots in a private report for your website.
- Control what agents see
Edit your listing description, tags, public contact details and additional llms.txt paths. Publish your terms for automated access, attribution and pricing.
- Make your profile eligible for search
A valid, listed, unblocked, verified profile can appear in our publisher sitemap and become eligible for search-engine visibility. Search engines decide what to index and rank.
- Appear in our llms-full.txt
Eligible verified publishers are listed by name, with their file links and summaries, in the service overview agents can read.
Free. No account registration, backlink or payment required. Public discovery remains available without verification.
Let your coding agent verify it
If your coding agent is authorized to manage this website, paste these instructions into it.
Claim my listing on Agent Web Map for newhorizon.ai:
1. POST https://agentwebmap.com/v1/sites/newhorizon.ai/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://newhorizon.ai/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/newhorizon.ai/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/newhorizon.ai).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verifyCorrections or removal requests: contact the directory.