# Arvist AI: Building the warehouse brains

> Arvist empowers warehouses worldwide to improve shipment quality, enhance worker safety, and achieve compliance by using computer vision AI\.

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## Pages
- [homepage\-v3](https://arvist.ai/)
- [Integrations](https://arvist.ai/integrations/)
- [Claims Management](https://arvist.ai/claims-management/)
- [Company](https://arvist.ai/company/)
- [Inbound Shipment](https://arvist.ai/inbound-shipment/)

## Posts
- [From Buzzword to Build: How Arvist Put Agentic AI to Work in Claims Management](https://arvist.ai/agentic-ai-warehouse/): Summary: Arvist Claims Management uses an AI agent to handle Over, Short \& Damaged claims by automatically retrieving inspection evidence, assessing claims, and drafting responses—but all external communications require human approval before sending\. The system's actual "agentic" strength is its multi\-step evidence search process, which finds confident matches or escalates unclear cases to people rather than guessing\.
- [Why Freight Claims Take 12–15 Hours \(And How to Cut That to Minutes\)](https://arvist.ai/freightclaims12hoursto3minutes/): A single freight claim can eat up the better part of a workday in manual work, pulling bills of lading, reviewing hours of footage, chasing down carrier responses, and assembling documentation that still might not hold up to a dispute, almost all of it spent proving the claim is valid rather than actually deciding whether it is\. When the evidence already exists the moment the damage happens, that same claim can resolve in about 3 minutes instead\.
- [Why Warehouses Lose Up to 10% of Revenue Before a Shipment Ever Leaves the Dock](https://arvist.ai/why-warehouses-lose-up-to-10-of-revenue-before-a-shipment-ever-leaves-the-dock/): Shipment inaccuracies, damage, and compliance issues can quietly cost warehouses up to 10% of revenue every year, and almost none of that loss shows up as a single obvious event, since it shows up as a returned pallet here, a chargeback there, a fine buried in a compliance audit, all traceable back to the same root cause, that nobody was watching the moment the error actually happened\. When inspection runs continuously at every station instead of on a sample basis, that same error gets caught before the shipment ever leaves instead of after the customer opens the box\.
- [What Shipped at Arvist: August 2026](https://arvist.ai/what-shipped-at-arvist-august-2026/): Summary: Arvist shipped major improvements to warehouse quality control in August 2026, achieving 99% packing accuracy on live orders, adding real\-time error detection for packers, and automating safety reporting through AI\. The company also introduced proof\-of\-load documentation via mobile capture and video recording to resolve shipping disputes with timestamped evidence, shifting focus from preventing false positives to catching the costly false negatives that humans miss during busy warehouse operations\.
- [Why Vertical Monopoly Doesn't Work for Warehouse Software Anymore](https://arvist.ai/vertical-monopoly/): Summary:    B2B software used to reward vertical monopolies because building was expensive and copying was free — you needed hundreds of customers on one codebase\. AI crashed build costs, so niches too small to serve before are now viable, and pricing shifted from seats to work done\. Code stopped being the moat; domain access and accountability became scarce instead\. Arvist's take: win by being reshapeable \(a "configuration layer"\), not by locking customers in \("a fork"\)\. Real limits remain: ops overhead, compliance moats, data\-driven scale advantages\.

## Podcasts
- [GrowinCast \| Ep\.02 \| The Usage of AI in Supply Chain](https://arvist.ai/podcasts/growincast-ep-02-the-usage-of-ai-in-supply-chain/): Raphael Traticoski talks In this episode Raphael Traticoski talks to Nilay Parikh, founder and CEO at Arvist, about how the supply chain sector is using artificial intelligence to optimize processes\.
- [Change with Colton Episode \#6\- Nilay Parikh, Founder of Arvist​](https://arvist.ai/podcasts/change-with-colton-episode-6-nilay-parikh-founder-of-arvist/): We talk about:
\- Supply chain
\- Arvist\.ai, the supply chain digital twin platform
\- Overcoming rejection
\- Mental health
\- Techstars
\- Navigating the founder community
\- Hiring in startups
- [The Role of AI in Modern Supply Chains: Insights from Aaron Hatfield at Arvist](https://arvist.ai/podcasts/the-role-of-ai-in-modern-supply-chains-insights-from-aaron-hatfield-at-arvist/): Artificial intelligence rapidly transforms modern supply chains, with companies like Arvist leading the charge\. In a recent episode of Hammer Down, hosted by Mike Bush, Aaron Hatfield, the Head of Sales at Arvist, sheds light on AI’s practical applications and benefits in enhancing supply chain operations\.
- [Applying AI VISION in a Production / Warehouse Environment](https://arvist.ai/podcasts/applying-ai-vision-in-a-production-warehouse-environment/): Lorem Ipsum is simply dummy text of the printing and typesetting industry\. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book\.
- [AI Integration \& Visibility: Boosting Warehouse Performance with Arvist](https://arvist.ai/podcasts/ai-integration-visibility-boosting-warehouse-performance-with-arvist/): In this episode of The New Warehouse podcast, Kevin welcomes Nilay Parikh, the founder and CEO of Arvist\. By leveraging AI, Arvist focuses on harnessing the power of data to enhance safety, productivity, and quality in the supply chain\. Parikh brings a wealth of knowledge and experience in AI technology, offering unique perspectives on its practical applications in warehousing\. In this engaging conversation, he delves into how Arvist’s solutions are shaping the future of warehousing, addressing current challenges, and setting new standards for operational efficiency and safety\.

## Case Studies
- [Manufacturing Company](https://arvist.ai/casestudy/manufacturing-company/): The Manufacturing Company, partnered with Arvist to tackle critical safety and operational challenges in their facilities\. They faced issues such as unsafe behavior, operational injuries, and a high proportion of untrained and temporary workers\.
- [CPG Fulfillment facility](https://arvist.ai/casestudy/cpg-fulfillment-facility/): The CPG Fulfillment facility adopted Arvist's automation technology to improve inventory accuracy and reduce labor costs associated with quality control tasks\.
- [3PL Company](https://arvist.ai/casestudy/3pl-company/): The 3PL Company integrated Arvist’s technology into their logistics operations to streamline quality control and enhance operational efficiency\. 

## Media Hub
- [AEC \(hosted\)](https://arvist.ai/media/aec-hosted/)
- [Claims Management](https://arvist.ai/media/claims-management/)
- [claims\-management](https://arvist.ai/media/20643/)
- [Arvist Claims Management: Win Freight Claims Disputes with Vision AI](https://arvist.ai/media/21393/)
- [Arvist Experience Center](https://arvist.ai/media/20707/)

## FireBox
- [virtual\-demo\-dialog\-aec](https://arvist.ai/firebox/book-a-visit-dialog-2/)
- [claims\-video\-dialog](https://arvist.ai/firebox/aec-video-dialog-2-2/)
- [aec\-video\-dialog](https://arvist.ai/firebox/aec-video-dialog-2/)
- [book\-a\-visit\-dialog](https://arvist.ai/firebox/book-a-visit-dialog/)

## Categories
- [Arvist news](https://arvist.ai/category/arvist-news/)
- [AI \& Warehousing](https://arvist.ai/category/ai-warehousing/)
- [Quality \& Inventory](https://arvist.ai/category/quality-inventory/)
- [Yard \& Dock Productivity](https://arvist.ai/category/yard-dock-productivity/)
- [Safety \& Compliance](https://arvist.ai/category/safety-compliance/)

## Tags
- [AI technology](https://arvist.ai/tag/ai-technology/)
- [Arvist AI](https://arvist.ai/tag/arvist-ai/)
- [AI in logistics](https://arvist.ai/tag/ai-in-logistics/)
- [artificial intelligence](https://arvist.ai/tag/artificial-intelligence/)
- [warehouse quality control](https://arvist.ai/tag/warehouse-quality-control/)

## Podcasts Categories
- [AI \& Warehousing](https://arvist.ai/podcasts_category/pcaiwarehousing/)
- [Quality \& Inventory](https://arvist.ai/podcasts_category/pcqualityinventory/)
- [Safety \& Compliance](https://arvist.ai/podcasts_category/pcsafetycompliance/)

## Case Study Categories
- [Quality \& inventory](https://arvist.ai/cscategory/csqualityinventory/)
- [Safety \& Compliance](https://arvist.ai/cscategory/cssafetycompliance/)

## Optional
- [Sitemap index](https://arvist.ai/sitemap_index.xml)