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Lost in Translation: When Distribution Centers Misinterpret Overages and Shortages, Suppliers Lose Millions

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Consumers don’t generally consider the logistics and complexities involved in the supply chain when they place an item into their physical or virtual shopping cart. But when shelves are empty or “out of stock” appears after clicking on an item online, people want answers. Big box retailers have rolled out a series of initiatives to keep vendors accountable for delivery times and order fulfillment by issuing penalties based on performance. Despite their best efforts, vendors find themselves losing millions of dollars due to perceived receiving discrepancies. Frank Matarazzo, Owner and CEO of Fusion Transport has witnessed firsthand how critical mistakes on the receiving end, such as misread purchase orders and miscalculated inventory are unduly harming vendors and trucking companies.

RUTHERFORD, N.J., June 10, 2024 /PRNewswire-PRWeb/ — Things just aren’t adding up in the world of shipping and receiving. The number of warehouses in the United States has grown from approximately 14,600 in 2007 to 22,000 in 2023 in response to changing dynamics in the commerce and distribution industries, such as economic trends, the surge of eCommerce, and other shifts in consumer behavior. (1) Walmart is the biggest retailer in the U.S., comprising nearly one-fourth of the global retail industry; (2) boasting 210 distribution centers (DCs), each of which is at least one million square feet, with each unloading and shipping a minimum of 200 trailers a day. (3) Amazon and Costco round out the top three retailers in the U.S., with Target coming in ninth. (4) The National Retail Federation predicts retail sales will increase 2.5% to 3.5% in 2024, reaching approximately $5.25 trillion. (5) The logistics of inventory tracking, record-keeping, and billing in such a chaotic and fast-moving supply-chain environment is bound to have its challenges. Frank Matarazzo, Owner and CEO of Fusion Transport, observes, “Purchase order [PO] disputes regarding shipment overages and shortages cost vendors and trucking companies millions upon millions of dollars each year. The industry must first recognize that a problem exists when receiving shipments and reconciling purchase orders to what is actually delivered and then agree upon effective solutions that mutually benefit suppliers and retailers.”

“Purchase order disputes over shipment overages and shortages cost vendors and trucking companies millions each year. The industry must recognize and address these issues to find mutually beneficial solutions for suppliers and retailers.”

On-time and fill-rate compliance is where the rubber meets the road in the supply chain gauntlet. Overages and shortages, as their names suggest, occur when the supplier has delivered too much or too little product when judged against the original retailer’s PO. Many retailers are issuing fines to suppliers when there are perceived PO discrepancies. Walmart’s Supplier Quality Excellence Program’s (SQEP) fine structure is $200 per PO per defect and $1 per unit handled, (5) which can add up quickly, leaving vendors underwater. Aside from excessive fines, vendors also lose revenue when retailers choose to keep any excess product without returning it or reimbursing the vendor.

It is common for retailers to issue multiple types of purchase orders to their vendors weekly. To distinguish them, vendors typically deliver multiple pallets, one for each type of order, and they arrive at the DC on the same date and at the same time. Matarazzo explains, “In the case of a mismatched PO, one pallet from the same vendor might be found to be 100 units over and the other 100 units short due to receiving product against the wrong purchase order. It’s not too big of a deal when you are dealing with cans of soup, but when you are dealing with laptop computers, it can be financially devastating to a supplier.”

Chain of custody monitoring is one method of proactively addressing the root causes of the problem. By using detailed documentation and taking photographs at every stage of the process, from picking the product, building the order, staging, loading, and unloading, vendors have clear evidence of how the shipment was ultimately received. Freight should be transacted on the dock with a bill of lading that confirms the details and accuracy of each shipment. However, truck drivers are frequently not allowed on the dock to oversee delivery leading to a lack of transparency, which corrupts the proper chain of custody.
Many distribution centers are under pressure to meet time constraints when unloading and counting a shipment. If they reach their time limit, one workaround is to sign off on a bill of lading as receiving “0” or “STC, Said to Contain or Subject to Count,” assuring the driver that it will all work out in the receiving process. This is clearly not an ideal situation for anyone.

Fusion Transport has 40 years of experience providing full-truckload and less-than-truckload (LTL) services that save their clients time, money, and hassle when moving freight. As the leader in tech-driven freight management solutions, Fusion Transport’s platform integrates assistance with analytics, tracking financials, managing inventory, and maintaining CRM systems, streamlining and automating processes for faster and more accurate tracking of supplies and inventory to reduce cost and improve shipping performance.
Matarazzo advises, “With better collaboration and communication between retailers, suppliers, and the trucking industry, these shipping and receiving challenges can easily become opportunities to make the supply chain more transparent and less complex.”

About Fusion Transport
Freight industry visionary Frank Matarazzo responded to the complex challenges of shipping logistics, consumer demands, and the need for advanced supply chain solutions by creating Fusion Transport. Emerging from two third-party logistics brokerages and based in Rutherford, NJ, Fusion Transport has become a pivotal force in retail consolidation and is now a leader in technology-driven freight management solutions. With over 40 years of expertise, the company is revolutionizing the North American less-than-truckload (LTL) network through a technology-based approach that not only meets market demands but also reduces the inefficiencies typically seen in traditional LTL carrier networks. This innovative strategy offers a more streamlined and cost-effective option for shipping merchandise in LTL quantities across the country, epitomizing the disruptive, customer-focused ethos of Fusion Transport. For more information, visit their website at https://www.fusiontransport.com/.

References:

Schneider, Will. “Exploring the Number of Warehouses in the U.S. from 2007-2023.” Warehousing and Fulfillment | Find the Best Warehousing and Fulfillment Services, 7 Feb. 2024, warehousingandfulfillment.com/warehousing-and-fulfillment-resources/exploring-the-number-of-warehouses-in-the-us-from-2007-2023/.Marcus Lu Article/Editing: “Ranked: The Biggest Retailers in the U.S. by Revenue.” Visual Capitalist, 24 Nov. 2023, visualcapitalist.com/biggest-retailers-in-the-us/#:~:text=Ranked%3A%20America’s%20Biggest%20Retailers,global%20sales%20crossing%20%24600%20billion.”Walmart’s Supply Chain: A Detailed Look at How They Manage It.” Vector, withvector.com/resource/walmarts-supply-chain-a-detailed-look-at-how-they-manage-it/. Accessed 22 May 2024.Tumisang Bogwasi 2X Award-Winning Entrepreneur | Empowering Brands to Generate Leads, et al. “The Biggest USA Retail Companies in 2024.” Brimco, 14 May 2024, brimco.io/the-biggest-usa-retail-companies/.”NRF Forecasts Retail Sales to Reach at Least $5.23 Trillion in 2024.” NRF, 20 Mar. 2024, nrf.com/media-center/press-releases/nrf-forecasts-retail-sales-reach-least-523-trillion-2024.”Walmart’s New SQEP Program: 3 Things for Suppliers to Know.” Harvest Group, 13 Dec. 2022, harvestgroup.com/walmarts-new-sqep-program/.

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Pangea Unveils Definitive Study on GenAI Vulnerabilities: Insights from 300,000+ Prompt Injection Attempts

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PALO ALTO, Calif., May 15, 2025 /PRNewswire/ — Pangea, a leading provider of AI security guardrails, today released findings from its global $10,000 Prompt Injection Challenge conducted in March 2025. The month-long initiative attracted more than 800 participants from 85 countries who attempted to bypass AI security guardrails across three virtual rooms with increasing levels of difficulty.

The research comes at a critical time as GenAI adoption has accelerated dramatically across industries, with a majority of enterprises now deploying AI-powered applications that interact directly with customers, employees, or sensitive internal systems. Despite this rapid adoption and integration into business-critical operations, many organizations have yet to implement AI-specific security protocols beyond frontier model defaults.

The challenge generated nearly 330,000 prompt injection attempts using more than 300 million tokens, creating a comprehensive dataset that reveals blindspots in how organizations are currently securing their AI applications.

Key Findings:

Non-Deterministic Security Challenge: Unlike traditional cybersecurity threats, prompt injection attacks exhibit unpredictable success rates due to the non-deterministic nature of LLMs. A prompt injection that fails 99 consecutive times may randomly succeed on the 100th attempt, even with identical content.Data Leakage & Reconnaissance Risk: in addition to the risk of sensitive data leakage and inappropriate responses, an AI application can also be exploited for adversarial reconnaissance purposes to reveal context like what server it’s being run on and open ports it can access.Defense in Depth Necessity: Organizations relying solely on native LLM guardrails are the most vulnerable—approximately 1 in 10 prompt injection attempts succeeded against basic system prompt guardrails. Multi-layered defenses reduced successful attacks by orders of magnitude.Agentic AI Amplifies Risk: As organizations move toward agentic AI with database and tooling access, compromised systems could enable sophisticated lateral movement within networks, dramatically elevating the potential impact of prompt injection attacks.

“This challenge has given us unprecedented visibility into real-world tactics attackers are using against AI applications today,” said Oliver Friedrichs, co-founder and CEO of Pangea. “The scale and sophistication of attacks we observed reveal the vast and rapidly evolving nature of AI security threats. Defending against these threats must be a core consideration for security teams, not a checkbox or afterthought.”

Joey Melo, a professional penetration tester and the only contestant to successfully escape all three virtual rooms, spent two days developing a multilayered attack that ultimately bypassed the single level in room three.

“Prompt injection is especially concerning when attackers can manipulate prompts to extract sensitive or proprietary information from an LLM, especially if the model has access to confidential data via RAG, plugins, or system instructions,” noted Joe Sullivan, former CSO of Cloudflare, Uber, and Facebook. “Worse, in autonomous agents or tools connected to APIs, prompt injection can result in the LLM executing unauthorized actions—such as sending emails, modifying files, or initiating financial transactions.”

In response to these findings, Pangea recommends organizations implement a comprehensive security strategy for AI applications that includes:

Multi-Layered Guardrails: Deploy guardrails to prevent prompt injection, protect the system prompt, prevent confidential information and PII exposure, and detect malicious entities using statistical and LLM-driven analysis techniques.Strategic Attack Surface Reduction: Balance functionality with security by restricting input languages, operations, and response types in security-sensitive contexts.Continuous Security Testing: Implement red team exercises specifically designed to test AI applications against evolving prompt injection techniques.Dynamic Temperature Management: Consider reducing model temperature settings in security-critical applications to minimize randomness that attackers can exploit.Dedicated Security Resources: Allocate one or more resources to track the rapidly evolving prompt injection landscape or partner with commercial security providers specialized in AI defense.

Friedrichs adds, “The industry is not paying enough attention to this risk and is underestimating its impact in many cases, playing a dangerous wait-and-see game. The rate of change and adoption in AI is astounding—moving faster than any technology transformation in the past few decades. With organizations rapidly deploying new AI capabilities and increasing their dependence on these systems for critical operations, the security gap is widening daily. The time to get ahead of these concerns is now.”

The full research report, “Defending Against Prompt Injection: Insights from 300K attacks in 30 days,” is available now, here: https://info.pangea.cloud/prompt-injection-research-report-2025

About Pangea

Pangea’s AI Guardrail Platform empowers security teams to ship secure AI applications quickly and protect workforce AI use with the industry’s most comprehensive set of AI guardrails, easily deployed via gateways or into applications with just a few lines of code. Pangea stops LLM security threats ranging from prompt injection to sensitive data leakage, covering 8 out of 10 OWASP Top Ten Risks for LLM apps, while accelerating engineering velocity and unlocking AI runtime visibility and control for security teams.

For more information, visit pangea.cloud or contact: press@pangea.cloud

Media Contact: Growth Stack Media |  415-574-0738

 

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Together AI Acquires Refuel.ai to Accelerate Development of Production-Grade AI Applications

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SAN FRANCISCO, May 15, 2025 /PRNewswire/ — Together AI, the leading AI Acceleration Cloud, today announced the acquisition of Refuel.ai, a specialist in transforming unstructured data into structured, high-quality datasets for AI applications. This strategic move strengthens Together AI’s platform by integrating Refuel’s purpose-built models and orchestration capabilities, enabling developers and enterprises to build, deploy, and optimize generative AI applications with greater speed and accuracy.

Founded in 2021 by Stanford alumni Rishabh Bhargava and Nihit Desai, the company created Refuel-LLM, a family of models tailored for data tasks, and Refuel Cloud, a platform that allows engineering teams to develop complex, multi-step data workflows. The company has already powered diverse use cases, including product catalog cleaning, financial document structuring, and chatbot claim verification, achieving 50% fewer errors than current state-of-the-art models.

“Joining Together AI accelerates our mission to solve the data bottleneck that every AI team faces today,” said Refuel.ai CEO Rishabh Bhargava. “By bringing Refuel.ai’s specialized models and orchestration platform into Together’s AI Cloud, we can deliver an unmatched combination of speed, data quality, and scalability—empowering developers to rapidly take more sophisticated AI applications from concept to production.”

This acquisition helps companies greatly by removing bottlenecks and enabling scalable, high-quality data processing directly within the Together AI ecosystem. It will also enhance Together AI’s offerings by incorporating Refuel-LLM for serverless inference and LoRA fine-tuning. Customers building increasingly complex AI agents will benefit from Refuel.ai’s tools throughout the lifecycle of their AI applications, from data preparation to deployment and iteration.

Additionally, starting today, Refuel LLM-2 is available on Together AI’s platform—supporting serverless inference and LoRA fine-tuning for high-accuracy data workflows.

“At Together AI, we provide a platform that empowers developers and businesses to manage the entire generative AI lifecycle with unmatched performance, control, and cost-efficiency,” said Together AI CEO Vipul Ved Prakash. “As developers and enterprises build increasingly complex applications and agents, leveraging their data effectively and driving higher quality will become a core capability for our platform. This is an important milestone for making generative AI more accessible to our community and our enterprise customers.”

Together AI currently supports over 200 top open-source and custom models across modalities and serves more than 600,000 AI developers and organizations such as Salesforce, Zoom, SK Telecom, DuckDuckGo, Cognition, Zomato, and The Washington Post.

To start fine-tuning and running the world’s best open source models, visit together.ai.

About Together AI
Together AI, the leading AI Acceleration Cloud, empowers developers and enterprises to train, fine-tune and run inference for generative AI models — delivering unparalleled performance, control, and cost-efficiency. The Together AI Platform supports a comprehensive range of top open source and custom models across multiple modalities, while offering flexible deployment options with the highest levels of privacy and security. Committed to advancing the frontier of AI through open collaboration, innovation and transparency, Together AI ensures that powerful AI systems remain accessible and flexible while creating optimal outcomes for society.

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Scrypted Acquires Chibi Clash to Advance AI Agent Powered Gaming

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WASHINGTON, May 15, 2025 /PRNewswire-PRWeb/ — Scrypted Inc. has acquired Chibi Clash, a gaming ecosystem featuring the popular titles Kingdoms and Survivor. This strategic acquisition provides Scrypted valuable game engine and web3 technology for their Autonomous Virtual Beings (AVB) framework for AI Agents, while unlocking rich experiences between human players and AI-driven games.

A Technology-Driven Acquisition

“AI Agents are the future, and Chibi Clash is the perfect place to prototype and showcase how we can make games more dynamic and personalized,” said Tim Cotten, CEO of Scrypted. “Our goal is to create a new generation of gaming experiences – autonomous and creative in a way that embraces the best of human game designers with the speed and reaction-time of artificial intelligence.”

Chibi Clash has built a dedicated community around its innovative combination of world-building, fast-paced action, and player-owned digital assets. The acquisition builds on a collaborative relationship between Scrypted and Kuma Games that began in 2023, when Scrypted’s first generation of AI technology (ArtemisML) was integrated into Chibi Kingdoms.

Ted Mui, CEO of Kuma Games, said: “Watching what Scrypted has accomplished with their AI technology convinced me they were the right team to take Chibi Clash forward. Our community will benefit from their cutting-edge innovations while keeping everything they love about our games. I believe Scrypted’s approach represents the future of gaming.”

Why This Acquisition Matters

This acquisition combines Scrypted’s AI Agent technology with Chibi Clash’s established games to create compelling new experiences:

Beyond Procedural Generation: Chibi Clash provides the perfect canvas for Scrypted’s proprietary Gen AI technology to showcase how AI can create rich, handcrafted-feeling environments that evolve over time.Playground for Autonomous Agents: The Chibi IP offers an ideal environment for Scrypted’s Autonomous Virtual Beings (AVBs) to demonstrate how game characters can learn, adapt, and create meaningful player interactions beyond their programming.

What Players Can Expect

Scrypted plans to enhance the Chibi Clash games via:

Reimagined visual experience for Chibi Survivor with improved performance.Enhanced Chibi Kingdoms with AI-generated world elements.Autonomous Virtual Beings (AVB) characters that create unique interactions.

Throughout these updates, Scrypted will preserve what makes Chibi Clash special to its community: all existing player assets, tokens, and digital collectibles will remain secure and functional.

“We’re not replacing what makes Chibi Clash great – we want to take it to the next level with continuous delivery of exciting content,” added Cotten. “Our team is thrilled to bring our experience and technology, built up over several decades in the game development industry, to the worlds of Chibi Clash. We want to bring these games to life in ways no one’s ever seen before.”

About Scrypted

Scrypted Inc. develops AI agent technology for social, gaming, and decentralized applications. The company’s products include the AVB platform for AI agent development and the upcoming Inori Network – a native Layer 1 blockchain for AI Agents. Founded in 2023, Scrypted is backed by investors at the intersection of AI, gaming, and decentralization like a16zcrypto CSX and PTC.

Contact Information

For inquiries: Aidan Tamke, 650-743-3473, 395290@emaill4pr.com

Website: www.scryptedinc.com
Chibi Website: www.chibi.gg
Twitter: @scryptedInc

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