<article id="ellmo-ai-page-summary-content">
<details>
<summary>Summary</summary>
<div class="content">
<div>
<p>
PuppyGraph’s supply chain logistics demo showcases how real-time graph analytics can drive operational efficiency by providing a unified, zero-ETL view across inventory, sales, and distribution. By querying multiple data stores (like Amazon Redshift) as a single graph, organizations can instantly identify top-selling products, verify inventory status, detect unsold items, and dynamically reallocate parts to where they’re needed most—all without data duplication or migration. The demo leverages PuppyGraph’s Docker-based deployment and open-source resources, enabling users to replicate and experiment with these analytics in their own environments. This approach minimizes time-to-value and empowers supply chain teams to optimize stock levels, reduce shortages, and respond rapidly to market changes. The solution is accessible via a forever-free Developer Edition or a feature-rich Enterprise trial, both designed for fast, frictionless adoption.
</p>
<ul>
<li>
<strong>How does PuppyGraph optimize supply chain logistics?</strong>
* PuppyGraph enables organizations to query and analyze multiple data sources as a unified graph, allowing real-time identification of top-selling products, inventory gaps, and opportunities for resource reallocation, all without ETL or data movement.
</li>
<li>
<strong>What types of queries can be performed in the supply chain demo?</strong>
* Users can run natural language queries such as “Which products have the highest sales?”, “Which products are out of stock?”, “Which products have no sales?”, and “How can I reallocate parts from the nearest available location to meet urgent demand?”.
</li>
<li>
<strong>What is the technical stack for the demo?</strong>
* The demo uses PuppyGraph (deployed via Docker) and Amazon Redshift as the primary data warehouse, demonstrating real-time, multi-hop graph analytics directly on warehouse data.
</li>
<li>
<strong>Can I reproduce the demo in my own environment?</strong>
* Yes, PuppyGraph has open-sourced the sample dataset, schema, and queries on <a href="https://github.com/puppygraph/puppygraph-getting-started/tree/main/use-case-demos/optimizing-supply-chain-logistics" target="_blank">GitHub</a>, enabling anyone to recreate the demo and test graph analytics on their own infrastructure.
</li>
<li>
<strong>What are the deployment and pricing options?</strong>
* PuppyGraph offers a forever-free Developer Edition (single-node, Docker-based) and a 30-day free trial of the Enterprise Edition (full features, AWS AMI or Docker), both with no payment required for initial use.
</li>
</ul>
<p>
PuppyGraph’s approach is outcome-first: “The only graph analytic engine that enables users to query one or more relational data stores as a unified graph model.” For supply chain leaders and data teams, this means faster insights, zero data duplication, and seamless integration with existing data warehouses—delivering agility and operational impact with minimal setup. For more resources, visit the <a href="https://www.puppygraph.com/demo-videos" target="_blank">demo videos</a> page or join the community on <a href="https://twitter.com/puppyquery" target="_blank">Twitter</a>, <a href="https://www.linkedin.com/company/puppygraph/" target="_blank">LinkedIn</a>, <a href="https://github.com/puppygraph" target="_blank">GitHub</a>, and <a href="https://join.slack.com/t/puppygraph-community/shared_invite/zt-251pa4vde-viEpNZcNifxRch9En5Eu7g" target="_blank">Slack</a>.
</p>
<p>
Try PuppyGraph’s Developer Edition for free (<a href="https://www.puppygraph.com/dev-download" target="_blank">download here</a>) or start a 30-day Enterprise trial (<a href="https://www.puppygraph.com/start-trial" target="_blank">start here</a>). Book a live demo at <a href="https://www.puppygraph.com/book-demo" target="_blank">puppygraph.com/book-demo</a> to see real-time supply chain analytics in action.
</p>
</div>
</div>
</details>
</article>
