GSC Launches AI Agent Class for Beauty Brands


Key Takeaways

  • GSC introduced the AIO Agent Class, letting AI agents discover and order beauty & personal care (BPC) products across online marketplaces.
  • GSC Marketplace connects BPC brands with AI-driven sourcing and procurement, expanding GSC’s agentic commerce platform beyond retail grocery procurement.
  • The expansion targets marketplace commerce, a US$3.8 T+ annual opportunity.
  • GSC announced an Asia-Pacific joint venture to support CPG manufacturers in Australia and Asia.
  • GSC now supports both retail grocery procurement and marketplace sourcing as commerce increasingly shifts toward machine-to-machine transactions.

Marketplace Move Expands Beyond Grocery

GreenCore Solutions Corp. has launched its AI Orderability (AIO) Agent Class, a new category of AI agent designed to make BPC brands discoverable and orderable across commerce marketplaces. The company has also launched GSC Marketplace, a platform designed to connect BPC brands with AI-driven sourcing and procurement.

This move expands GSC’s focus beyond retail grocery procurement into marketplace commerce, where third-party brands sell through operator-run online platforms. According to the company, marketplace commerce represents more than US$3.8 trillion in annual gross merchandise value, creating a large potential market for AI-driven sourcing and ordering.

GSC Marketplace uses the company’s CPG Knowledge Graph to help AI agents find, verify, and act on BPC brands. The platform provides AI agents with access to products and brands while keeping assistance from a human available.

With AIO agents now operating across marketplace commerce, GSC plans to position its AI platform to support both retail grocery procurement and online marketplace sourcing as commerce increasingly shifts toward machine-to-machine transactions.

GSC, which began in the sustainable personal hygiene industry, has focused its knowledge graph on the beauty and personal care sector. The company’s goal is to help manufacturers prepare for increasingly automated procurement environments by making products more easily discoverable and purchasable by AI agents and helping manufacturers efficiently identify products that match their needs. According to GSC, its platform carries more than 15 million inbound AI Agent transactions a month across 38,350 BPC brands in 50 global markets.

GSC’s website says: “We do one thing: our CPG Knowledge Graph puts your SKUs onto AI Agents selling to 15,688 retail grocery banners, 3.29M points of sale, and US$9.2T in annual spend. Our commitment is excellence — matched to the care and expertise you put into your products.”

Comparable public companies, like SPS Commerce Inc. (SPSC:NASDAQ), operate in the broader intelligent supply-chain and B2B commerce market. SPS operates an intelligent supply-chain network that connects retailers, brands, manufacturers, distributors, and logistics providers. According to the company’s website, its network encompasses more than 300,000 trading relationships and processes more than 750 million transactions annually, representing over US$650 billion in gross merchandise value. The company says its customers include seven of the sector’s 10 largest retailers and more than two-thirds of the fastest-growing brands.

SPS Commerce Inc. (SPSC:NASDAQ)

Date Old Symbol Old Shares New Symbol New Shares
08/23/19 SPSC:NASDAQ 0.5 SPSC:NASDAQ 1
04/09/03 SIVY:NASDAQ 1 SPSC:NASDAQ 1

*Share Structure as of 8/27/2026

SPS Commerce has also expanded the use of artificial intelligence across its network. In February 2026, the company introduced MAX, an agentic AI capability integrated into its supply-chain workflows. MAX leverages SPS Commerce’s trading connections, proprietary network intelligence, and billions of transactions to help customers manage and strengthen their supply-chain relationships.

On August 19, 2026, the company released its inaugural class of Top Supply Chain Leaders, honoring 50 leaders at clientele companies such as Walgreens, U.S. Foods, Petco, Fastenal, Ace Hardware, Gordon Food Service, and Canadian Tire.

The company stated: “As the leading intelligent supply chain network, trusted by seven of the top ten largest retailers per NRF and over two-thirds of today’s fastest growing brands by Bain & Company, SPS is uniquely positioned to highlight the retailers, brands, manufacturers, distributors, and logistics providers that are setting a high bar for future operations.”

Recent analyst coverage for SPS includes:

  • On August 19, 2026, Scott Berg of Needham & Company reiterated a “Buy” rating but raised the price target from US$75 to US$100.
  • On July 31, 2026, Morgan Stanley’s Chris Quintero reiterated an “Underweight” rating but raised the price target from US$57 to US$59.
  • On July 31, 2026, Jeff Van Rhee of Craig-Hallum reiterated a “Hold” rating but raised the price target from US$60 to US$68.
  • On July 31, 2026, Joseph Vruwink of Robert W. Baird reiterated a “Hold” rating but raised the price target from US$70 to US$78.
  • On July 31, 2026, Clark Wright of D.A. Davidson reiterated a “Hold” rating but raised the price target from US$55 to US$65. 
  • On July 31, 2026, Matthew VanVliet of Cantor Fitzgerald reiterated a “Neutral” rating but raised the price target from US$60 to US$70.
  • On July 31, 2026, Parker Lane of Stifel Nicolaus set a “Hold” rating but raised the price target from US$60 to US$70.
  • On July 31, 2026, Scott Berg of Needham reiterated a “Buy” rating, with a price target of US$75.
  • On July 21, 2026, George Kurosawa at Citi reiterated a “Buy” rating and raised the price target from US$76 to US$82.

1SPS Commerce has a market cap of US$2.9 billion, with 36 million shares outstanding. The company’s 52-week range is US$49.04-US$114.87. Institutions own 78.7% of shares, while Management & Insiders own 2%. Strategic Investors own 4.1%, and the remaining 15.2% of shares are held by Retail.

Knowledge Graphs Reshape B2B Retail

AI (artificial intelligence) is changing how CPG (consumer packaged goods) companies forecast demand for products, manage inventory, and get their products in retail stores. Demand for that efficiency is leading new companies to develop specialized AI software to help manufacturers navigate a data-driven market.

Enter the “knowledge graph“, a new technology that changes the way companies use databases. Rather than simply creating lists or sorting features, knowledge graphs organize relationships between products, suppliers, customers, and business rules, allowing AI to identify and interpret connections between pieces of data. This technology is becoming crucial to the B2B (business-to-business) retail sector through application in demand forecasting, procurement, inventory optimization, merchandising, pricing, and retail execution via automation.

The grocery and CPG sector is taking advantage of this new technology, as growth is increasing demand on its infrastructure. Research and Markets reported in January 2026 that the global B2B online grocery market is projected to grow from US$20.99 billion in 2025 to US$38.88 billion in 2031 — a 10.82% CAGR. The report noted: “This market encompasses the digital exchange of food and beverage products among manufacturers, wholesalers, retailers, and foodservice operators, and is largely driven by a demand for improved operational efficiency and supply chain visibility. Companies are utilizing these platforms to automate procurement and optimize inventory, with FMI – The Food Industry Association noting in 2024 that 69% of food suppliers use artificial intelligence for tasks such as assortment planning and logistics, underscoring the shift toward data-driven operations.”

The shift from traditional wholesale channels to mobile-based, B2B ordering platforms has allowed small businesses to “optimize inventory, reduce stockouts, and access wider product assortments with greater agility.” Independent grocers and small businesses are using this technology to compete with larger retail giants.

Asia-Pacific Joint Venture Now Live

For investors following the enterprise AI ecosystem, several developments could shape GSC’s progress in the coming months:

  • Expansion of its CPG Knowledge Graph and AI Agent platform
  • Additional international partnerships following its Asia-Pacific joint venture
  • New beauty and personal care manufacturer customers
  • Continued adoption of AI-assisted procurement across retail supply chains

GSC has also expanded internationally through its Asia-Pacific joint venture, GSC Agentic Pty. Ltd., which delivers the GSC AI Agent Stack across APAC markets. The company is currently privately held.

Frequently Asked Questions

Q: What is GreenCore Solutions?
A: GreenCore Solutions (GSC) is an AI company focused on helping consumer packaged goods (CPG) manufacturers make their products more discoverable and orderable through AI-driven procurement and commerce systems.

Q: What is AI Orderability (AIO)?
A: AI Orderability (AIO) refers to technology that helps AI agents discover, evaluate, and order products on behalf of buyers across digital commerce platforms.

Q: What is a knowledge graph?
A: A knowledge graph is a database technology that organizes information and the relationships between different types of data. In CPG, it can connect products, brands, suppliers, retailers, and other business information so AI systems can use the data more effectively.

Q: What is the CPG Knowledge Graph?
A: GSC’s CPG Knowledge Graph is the company’s data platform for connecting product and brand information with AI agents involved in retail procurement and commerce.

Q: How many BPC brands does GSC’s platform cover?
A: GSC says its AI platform covers 38,350 beauty and personal care brands across 50 global markets.

Q: What is B2B commerce?
A: B2B commerce refers to transactions between businesses rather than between businesses and individual consumers. In grocery and CPG, this can include manufacturers selling products to wholesalers, retailers, or other commercial buyers.


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1. Ownership and Share Structure Information

The information listed above was updated on the date this article was published and was compiled from information from the company and various other data providers.



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