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Wayfair Prices Offering of $700 Million Senior Secured Notes

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BOSTON, March 11, 2025 /PRNewswire/ — Wayfair Inc. (NYSE: W) (the “Company,” “we” or “Wayfair”) today announced the pricing by its subsidiary, Wayfair LLC (the “Issuer”), of its private offering of $700 million in aggregate principal amount of 7.750% senior secured notes due 2030 (the “Notes”). The Notes will mature on September 15, 2030, unless earlier repurchased or redeemed in accordance with their terms. The Notes offering is expected to close on March 13, 2025, subject to customary closing conditions.

We intend to use a portion of the net proceeds from the Notes offering to purchase approximately $580 million aggregate principal amount of our outstanding 1.00% convertible senior notes due 2026 (the “2026 Notes”) from certain investors that agreed to sell us such 2026 Notes concurrent with the pricing of the Notes offering. We intend to use the remainder of the net proceeds for general corporate purposes, which may include the repayment or repurchase of existing indebtedness including our outstanding 0.625% convertible senior notes due 2025 (the “2025 Notes”) or additional 2026 Notes. We expect that certain holders of the 2025 Notes or 2026 Notes that we purchase who have hedged their equity price risk with respect to such 2025 Notes or 2026 Notes will unwind all or part of their hedge positions by buying our Class A common stock or entering into or unwinding various derivative transactions with respect to our Class A common stock. As a result, our anticipated purchases of 2025 Notes and 2026 Notes and the potential related market activities by holders of such repurchased 2025 Notes or 2026 Notes could increase (or reduce the size of any decrease in) the market price of our Class A common stock. The Notes will be fully and unconditionally guaranteed, jointly and severally, on a senior secured basis by Wayfair and certain Wayfair domestic subsidiaries that guarantee the Issuer’s senior secured revolving credit facility and existing senior secured notes. The Notes and related guarantees will be secured on a first-priority basis by liens on the same assets that secure the Issuer’s senior secured revolving credit facility and existing senior secured notes.

Substantially concurrently with the issuance of the notes, we intend to enter into an amended and restated credit agreement (the “Amended and Restated Credit Agreement”) to, among other things, establish a new credit facility, which we expect will (x) extend the maturity of the credit facilities to 2030 (subject to a springing maturity in certain circumstances) and (y) provide for commitments in an aggregate amount equal to $500.0 million. Syndication efforts to arrange the Amended and Restated Credit Agreement were successful.

The Notes and related guarantees have not been registered under the Securities Act of 1933, as amended (the “Securities Act”), or the securities laws of any other jurisdiction, and may not be offered or sold in the United States absent registration or an applicable exemption from the registration requirements of the Securities Act. The Notes are being offered only to persons reasonably believed to be qualified institutional buyers in accordance with Rule 144A under the Securities Act and to non-U.S. persons in accordance with Regulation S under the Securities Act.

This press release is for informational purposes only and shall not constitute an offer to sell or a solicitation of an offer to buy any securities. Any offer of the Notes and related guarantees is not being made to any person in any jurisdiction in which the offer, solicitation or sale is unlawful. This press release also shall not constitute an offer to purchase, a solicitation of an offer to sell, or notice of redemption with respect to any of Wayfair’s outstanding convertible notes.

About Wayfair
Wayfair is the destination for all things home, and we make it easy to create a home that is just right for you. Whether you’re looking for that perfect piece or redesigning your entire space, Wayfair offers quality finds for every style and budget, and a seamless experience from inspiration to installation.

The Wayfair family of brands includes:

Wayfair: Every style. Every home.AllModern: Modern made simple.Birch Lane: Classic style for joyful living.Joss & Main: The ultimate style edit for home.Perigold: The destination for luxury home.Wayfair Professional: A one-stop Pro shop.

Wayfair generated $11.9 billion in net revenue for the year ended December 31, 2024 and is headquartered in Boston, Massachusetts with global operations.

Forward-Looking Statements

This press release contains forward-looking statements within the meaning of federal and state securities laws. All statements other than statements of historical fact contained in this press release, including statements regarding the terms of the Notes; the anticipated use of the net proceeds from the offering of the Notes; the expected closing of the Notes offering; and expectations regarding the repayment of Wayfair’s outstanding convertible notes; whether we will enter into the Amended and Restated Credit Agreement; and expectations regarding the Amended and Restated Credit Agreement, are forward-looking statements. In some cases, you can identify forward-looking statements by terms such as “may,” “will,” “should,” “expects,” “plans,” “anticipates,” “continues,” “could,” “intends,” “goals,” “target,” “projects,” “contemplates,” “believes,” “estimates,” “predicts,” “potential,” or the negative of these terms or other similar expressions. Forward-looking statements are based on current expectations of future events. We cannot guarantee that any forward-looking statement will be accurate, although we believe that we have been reasonable in our expectations and assumptions. Investors should realize that if underlying assumptions prove inaccurate or that known or unknown risks or uncertainties materialize, actual results could vary materially from our expectations and projections. Investors are therefore cautioned not to place undue reliance on any forward-looking statements. We believe that these risks and uncertainties include, but are not limited to, adverse macroeconomic conditions, including economic instability, changes in tax laws, regulations and new or increased tariffs, including based on the recent U.S. presidential election, export controls, sustained higher interest rates, inflation, slower growth or the potential for recession, disruptions in the global supply chain and other conditions affecting the retail environment for products we sell, and other matters that influence consumer spending and preferences, as well as our ability to plan for and respond to the impact of these conditions; our ability to acquire and retain customers in a cost-effective manner; our ability to increase our net revenue per active customer; our ability to build and maintain strong brands; our ability to manage our growth initiatives; and our ability to expand our business and compete successfully. A further list and description of risks, uncertainties and other factors that could cause or contribute to differences in our future results include the cautionary statements herein and in our most recent Annual Report on Form 10-K and in our other filings and reports with the Securities and Exchange Commission. We qualify all of our forward-looking statements by these cautionary statements. These forward-looking statements speak only as of the date of this press release and, except as required by applicable law, we undertake no obligation to publicly update or revise any forward-looking statements contained herein, whether as a result of any new information, future events or otherwise.

Media Relations Contact:
Tara Lambropoulos
PR@Wayfair.com

Investor Relations Contact:
James Lamb
IR@wayfair.com

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SOURCE Wayfair Inc.

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Technology

JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

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10 minutes ago

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July 24, 2026

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

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Video: CNPC offers green chemical answer

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10 minutes ago

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July 24, 2026

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BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/video-cnpc-offers-green-chemical-answer-302834036.html

SOURCE chinadaily.com.cn

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Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

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10 minutes ago

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July 24, 2026

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Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

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