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SHIP.com Introduces AI Shipping Manager and Agentic Commerce Tools for Online Sellers

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SHIP AI proactively analyzes orders, recommends shipping options and prepares shipments while keeping financial approval in the seller. SHIP MCP extends more than 35 shipping capabilities into Claude and AI-built applications, allowing developers to embed rating, labeling, tracking, and other shipping functions directly into agentic commerce workflows.

OLEAN, N.Y., Aug. 26, 2026 /PRNewswire/ — Ship.com today announced two artificial intelligence tools designed to streamline shipping processes for sellers and AI builders: SHIP AI™, a proactive AI shipping manager for online sellers, and SHIP MCP™, a Model Context Protocol (MCP) integration that brings Ship.com shipping capabilities directly into Claude Desktop CLI as an MCP connector while enabling builders to incorporate shipping into AI applications and agentic commerce workflows.

The launches come as artificial intelligence becomes embedded in everyday business operations, while shipping still requires significant manual work. In the second quarter of 2026, 61% of surveyed U.S. small and midsized businesses reported actively using AI, while another 29% were experimenting with it, according to Pax8.

Now, with SHIP AI, ecommerce businesses can automate order processing and label generation while gaining greater visibility into shipping costs, delivery options, and fulfillment workflows. The system proactively prepares shipping work, reducing the manual steps sellers need to complete.

“A general chatbot gives you an answer. SHIP AI does the work,” said Joe DiSorbo, founder and CEO of Ship.com. “It works like a shipping manager sitting next to you, not another chat bot waiting for the right question.”

SHIP AI is at the Seller’s Side

SHIP AI is designed to analyze incoming orders, fix order issues, and optimize cost and deliverability – all before the sellers begin fulfillment.

Available within the Ship.com web platform, the tool was built specifically for ecommerce shipping workflows rather than as a general-purpose chatbot layered onto shipping software.

SHIP AI can determine package details, choose shipping options, correct addresses, flag inconsistencies, and prepare multiple orders to ship at once.

By helping sellers identify more cost-effective shipping methods and eliminate repetitive tasks, the system is designed to reduce shipping costs while improving fulfillment efficiency. Users can also direct SHIP AI to update dashboards, run reports, and analyze costs and delivery times.

“We built the software to work like a new employee,” DiSorbo said. “It can analyze the orders, identify the problems, and recommend solutions, but ultimately the user decides how much authority to give it. As the system learns and becomes more reliable, the user can opt in to more SHIP AI automation.”

Automation Expands with Seller Trust

The system is fully interactive, allowing users to ask SHIP AI to update dashboards, run reports, and analyze costs and delivery times, giving sellers greater visibility into their shipping operations and control over what work the AI performs.

SHIP AI automates shipping preparation and analysis while keeping financial decisions under the seller’s control. By default, monetary transactions, including purchasing labels, adding insurance, and reloading an account balance, require seller approval, with costs displayed before completion.

“The goal is to move the seller from manual order processing to approving work that has already been completed,” DiSorbo explained. “Users are already asking SHIP AI how to save money, reduce their shipping costs, choose optimal shipping methods and assess which plan makes the most sense for their account.”

SHIP AI has been live for Ship.com users since August 11, 2026, with the complete experience free to try for at least 30 days. In the first week of the beta launch, more than 30% of orders were purchased through SHIP AI.

“Shipping a twenty-order batch could take about 25 minutes when a seller has to work through each order one by one,” DiSorbo said. “With SHIP AI, depending on how much automation the seller allows, that same work could take even less than a minute.”

SHIP MCP Connects Claude and AI Applications to Shipping Workflows

SHIP MCP brings more than 35 Ship.com shipping capabilities to Claude and other AI-built products. It is available through Claude Desktop CLI, by searching “Ship.com” in Claude’s connector directory, and directly to AI builders and creators through the Ship.com website.

Through the MCP standard, SHIP MCP allows developers to incorporate capabilities such as rating, labeling, and tracking directly into AI applications. Rather than requiring users to leave an application to complete shipping, developers can make those functions part of the products they are building.

“We’ve found that the first customers have embedded Ship.com into their own AI application, with orders rated, labeled, and tracked. The first steps in fully autonomous agentic commerce,” DiSorbo said. “The world will soon be filled with billions of agents conducting commerce directly with each other. We strive to be the leader in agentic commerce shipping solutions for the AI economy.”

About Ship.com

Ship.com is an all-in-one shipping platform designed to help ecommerce businesses, marketplaces, and commerce platforms streamline fulfillment and scale seller ecosystems. The platform provides access to deeply discounted commercial carrier rates, AI automation tools, and integrations that simplify shipping operations across multiple sales channels. Through partnerships and integrations with leading marketplaces like Walmart Marketplace and Shopify, Ship.com enables sellers to manage orders, automate fulfillment workflows, and control shipping costs from a single platform. Born from real-world logistics challenges, Ship.com transforms shipping from a complex operational burden into a strategic advantage for entrepreneurs, marketplaces, AI builders, and the platforms that power modern commerce. Learn more at www.ship.com.

References:

Pax8. (2026, July 13). Pax8 research finds small businesses all-in on AI with 2 in 3 projecting stronger competitive composure. pax8.com/en-us/news-post/pax8-research-finds-small-businesses-all-in-on-ai-with-2-in-3-projecting-stronger-competitive-composure/Enova International, Inc. (2026, July 31). New report: Small businesses lean into growth and AI [Press release]. PR Newswire. prnewswire.com/news-releases/new-report-small-businesses-lean-into-growth-and-ai-302839588.html

Media Inquiries:
Karla Jo Helms
JOTO PR™
727-777-4629
Jotopr.com 

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SOURCE Ship.com

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From Pasture to Power: Gordon Solar Farm Showcases the Future of Farming and Solar Energy in New Zealand

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WHAKATĀNE, New Zealand, Nov. 10, 2026 /PRNewswire/ — An agrivoltaic project in Galatea, New Zealand, is demonstrating how agricultural land can generate renewable energy while continuing to support productive farming, offering a new approach to land use for rural communities.

The Gordon Cattle and Solar Farm, located in the Whakatāne District, combines a 4.7 MW solar installation on 8 hectares of land with a dairy farm operation of around 700 cattle heads. Featuring TCL Solar 625W TOPCon modules and Clenergy ezTrackers D1P, the project brings together solar technology, agricultural expertise and tracking infrastructure to demonstrate the potential of dual-purpose land use.

The official opening of the project will take place on Thursday, 12 November 2026, at the Gordon Dairy Farm in Galatea. The public event will bring together representatives from the agricultural and renewable energy industries, project partners and local communities, with a live panel discussion exploring the opportunities and practical considerations of integrating solar generation into working farmland.

Making More of Agricultural Land

Agrivoltaics refers to the integration of solar energy generation and agricultural activities on the same land. At the Gordon Solar Farm, solar trackers are elevated to 2.2 metres, allowing cattle to continue grazing beneath the installation. During daylight hours, the tracking system follows the sun to optimise electricity generation, while the farm retains its agricultural function.

This approach offers potential benefits beyond electricity production. By providing shade, the solar installation reduces direct sun exposure to the ground, lowering soil temperatures and moisture loss, and diminishing irrigation requirements. For livestock, shaded areas can offer relief from intense heat and contribute to improved animal comfort during warmer conditions.

The relationship can also benefit the solar installation itself. Vegetation and moisture beneath the panels may help moderate the module temperature and support energy generation.

Solar Technology Designed for Agricultural Environments

Operating solar modules in an agricultural setting presents specific technical challenges. One consideration is exposure to ammonia, a corrosive gas released through livestock waste, manure and agricultural processes. Over time, ammonia can affect susceptible materials and components within solar modules, potentially contributing to corrosion and reduced long-term performance.

This makes module durability an important consideration when selecting solar technology. The TCL Solar TOPCon modules supplied for the Gordon project have undergone ammonia corrosion resistance testing in accordance with IEC 62716, the international standard for assessing resistance to ammonia exposure.

The enhanced certification provides an additional layer of validation and reflects the importance of selecting technology suited to the specific environment of a project.

Bringing Farming and Solar Expertise Together

The Gordon Solar Farm has been delivered through collaboration between the Gordon family, TCL Solar, Clenergy, Micropico, insurance and financial partners. Each partner brings a different perspective to the project, from the practical realities of operating a working dairy farm to the engineering and technology required to integrate solar generation into an agricultural environment.

These perspectives will come together at the official opening during a live panel discussion that will explore the lessons emerging from the project and consider a broader question for the agricultural and energy sectors: how can landowners create additional value from their land while continuing to support the farming businesses and communities that depend on it?

A Model for the Future of Rural Renewable Energy

For TCL Solar, the project demonstrates the importance of reliable module technology in installations with specific operational and environmental demands.

As New Zealand continues to expand its renewable energy capacity, the Gordon Solar Farm offers a practical example of how solar energy can become part of the wider agricultural landscape, creating opportunities for farmers, energy providers and rural communities alike.

The official opening of the Gordon Cattle and Solar Farm will take place on Thursday, 12 November 2026, at 228 Grant Road, Galatea, New Zealand.

For more information, visit www.tclsolar.com

About TCL Solar

TCL Solar is one of TCL Zhonghuan’s two flagship module brands, alongside SunPower for the Australian and Pacific markets.

TCL Zhonghuan (TCL Zhonghuan Renewable Energy Technology Co., Ltd.) is a BNEF Tier 1 global solar manufacturer and a technology leader across the photovoltaic value chain. Founded in 1958, the company has played a defining role in the development of the global PV industry, beginning monocrystalline silicon R&D in 1969. With full vertical integration from ingots and wafers through to modules, TCL Zhonghuan became the world’s #1 silicon wafer manufacturer in 2024, achieving 19% of global production capacity share. Ongoing innovation is supported by over 4,600 solar-specific patents, alongside advanced manufacturing capabilities. The acquisition of SunPower in 2025 and DAS Solar in 2026 further strengthens TCL Zhonghuan’s position in high-efficiency BC technology.

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SOURCE TCL Solar

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GTN appoints former Gemini and Kraken executive Mark Jennings as global head of digital assets

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New role to lead GTN’s tokenisation strategy as more platforms bring traditional assets on-chain

DUBAI, UAE, Nov. 10, 2026 /PRNewswire/ — GTN, the global fintech powering limitless investment, today announced the appointment of Mark Jennings as global head of digital assets. Mark will lead GTN’s strategy to support tokenised securities through its global market access.

Mark joins GTN from Gemini, where, as CEO of Gemini Europe, he led the exchange’s European expansion. Before that, he held senior roles at Kraken, including CEO of Crypto Facilities, its FCA-regulated derivatives venue for institutional clients.

Manjula Jayasinghe, GTN’s co-founder and group CEO, said: ‘We are seeing growing demand for tokenised securities, where investors can trade traditional assets on-chain, 24/7, with real-time settlement, and we expect this trend to accelerate in the years ahead. With our industry-leading multi-market, multi-asset coverage, we are well positioned to help platforms bridge traditional and digital markets. Mark brings substantial experience from the digital assets industry and will lead our efforts with the right technology, partnerships and regulatory approach.’

Mark said: ‘Tokenisation is one of the most significant shifts in market infrastructure in decades. At Gemini and Kraken, I saw first-hand users’ demand for traditional assets alongside crypto, and the complexity of delivering them in a robust, compliant and scalable way. GTN has already done the difficult work to connect to markets and asset classes. That puts us in a unique position to take a leading role in helping platforms bring those assets on-chain. I’m excited to lead that work with platforms across the ecosystem to bring tokenised securities to their users.’

Mark’s appointment follows GTN’s hire of former Saxo Bank executive Daniel Endler as its first group chief product officer in October. Together, the two appointments strengthen GTN’s senior leadership as it expands its offering for financial institutions and digital asset platforms.

About GTN
GTN is the global fintech infrastructure powering limitless investment through a unified API-first architecture. By combining cloud-native technology with deep institutional expertise, GTN provides brokers, banks, asset managers and fintechs with brokerage infrastructure spanning 90+ markets and up to 8 asset classes across GTN’s six regulated entities, through a single API, enabling partners to create the next generation of investing and trading experiences. From fractional trading and micro-portfolios, including $1 fractional bonds, to full-service brokerage, GTN automates the investment lifecycle from digital onboarding to post-trade settlement. As a single counterparty, GTN reduces technical and regulatory burdens, enabling investment banks, brokerage firms and wealth management firms to scale without having to build technology from scratch.

GTN has over 700 professionals across 14 countries and serves more than 500 clients worldwide, united by one mission: transforming the accessibility of investment and trading opportunities. GTN operates through six regulated entities, each authorised in its own jurisdiction: FCA in the UK, DFSA in the DIFC, MAS in Singapore, SEC and FINRA in the US, FSCA in South Africa and SFC in Hong Kong. Strategic investors include IFC (World Bank Group) and SBI Ventures Singapore. To learn more, visit www.gtngroup.com or follow us on LinkedIn.

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AI Plans Outrun Store Realities as Bad Stock Data Can Cost Large Retailers Millions Each Year

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Scandit survey of store associates finds stock records match shelves less than half the time, fueling a ‘shadow store’ of paper, chats and photos that leaves AI working from an incomplete view of the store and business

ZÜRICH, Nov. 10, 2026 /PRNewswire/ — Scandit, the leader in smart data capture powered by vision AI, today released the results of global research revealing that retail’s race to deploy AI is running ahead of the data reality inside its stores. Store associates reported that stock information matches what they find on the shelf just 46% of the time while only 8% trust store data completely. This creates a costly gap between what the system says, what is actually in the store and what customers experience, while leaving AI and other technology investments to act on incomplete records.

That gap is already being absorbed by labor. Associates estimate they would each get back more than 4.4 hours a week, nearly six working weeks a year, if they had data they could trust. That time amounts to millions in recoverable labor hours. A retailer employing 10,000 store associates, for example, faces more than $41 million a year* in labor cost tied to compensating for the gap. Extrapolating that time across the entire pool of retail associates in the U.S., as tabulated by the U.S. Bureau of Labor Statistics, inaccurate data could cost the retail industry as much as $22 billion annually.

And when the system is wrong, associates do what they have to do to keep the store running. Nearly half (49%) correct the record themselves and 44% raise a stock adjustment. But among associates who take action, 42% bypass the official system entirely, while 68% use at least one informal method, including paper notes, team chats, personal phone photos and apps or memory. The result is a ‘shadow store’ in which vital information exists outside the record that head office, dashboards and AI systems rely on.

“Retailers do not have an AI adoption problem as much as a store truth problem,” said Samuel Mueller, CEO and co-founder of Scandit. “Associates are spending valuable time repairing these gaps, yet much of that work disappears into unofficial tracking systems. Before retailers ask AI to make more decisions based on inaccurate store data, they need a shared, accurate view of what is actually happening on the shelf and across their stores.”

Associates’ trust in stock data does not build gradually. The survey highlights it stays low until the data is very good. Only 8% of associates completely trust their store’s stock information, and only one in four say it is accurate more than 70% of the time. Among associates who put accuracy anywhere up to 50%, roughly a quarter report high trust, and that figure barely moves until accuracy passes 70%, when it rises sharply.

“This is not a gradual improvement problem,” said Andrew Smith, Managing Partner and co-founder of ThinkUncommon and a RETHINK Retail Top Expert since 2021. “Moving stock accuracy from 46% to 60% may look like progress in a board report and still change nothing on the floor. Trust only begins to move once accuracy clears 70%, and until then associates do what sensible people do: they check the shelf themselves and either correct the system or just do what they need to do to help the customer in front of them.”

The consequences extend beyond productivity. Associates report spending an average of 4.1 hours each week handling customer questions that store technology should be able to answer, and are asked to physically check whether an item is in stock 5.85 times a week on average. More than one in five say they make those checks more than ten times a week.

The findings point to a practical lesson for technology deployment: associates who participated in a pilot reported using most store tools at a rate of 74%, compared with 61% among those who were consulted before rollout and those who were never asked. Half of pilot participants reported high trust in their stock data, compared with 25% of those who were never asked for input.

Read The Store Truth Gap report here.

Asked what would make inventory management workflows easier, associates said responded with the following:

“Get the stock counts actually right so I’m not chasing ghost inventory.””A lot of times the back stock isn’t in the system so I go and have to physically check more often than I’d like.””More accurate layouts. Sometimes it sends me to a location that doesn’t have product.””More consultation from head office with us, who are the ones facing the customer.”

*Estimate is based on an average self-reported $18 hourly wage

About the survey

Scandit commissioned Sapio Research to survey 2,200 store associates online in September 2026. All worked in physical stores for retailers with more than 1,000 employees across the U.S., Germany, UK, France, Italy, Canada and Poland. The research covered grocery, mass merchant and department store, hypermarket and supercenter, DIY and home improvement, convenience, and drugstore and pharmacy formats.

About Scandit

Scandit is the leader in smart data capture, powered by vision AI, giving superpowers to workers, customers, and businesses by providing actionable insights and automating end-to-end processes. Its Smart Data Capture platform enables smart devices, such as smartphones, handheld computers, drones, digital eyewear, robots, and fixed cameras to interact with physical items by capturing data from barcodes, text, IDs, and objects with unmatched speed, accuracy, and intelligence.

Scandit enables innovation that delivers significant cost savings, increases employee retention and customer loyalty. The company partners with customers at every step with trials, solution design, integration, and customer success support included.

Visit scandit.com to learn why market leaders across retail, transport and logistics, healthcare and manufacturing like Instacart, Carrefour, Ahold Delhaize, Albertsons, Levi Strauss & Co., Sephora, Lufthansa, and FedEx trust Scandit.

 

 

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