GreenCore Solutions Corp. (GSC), a Microsoft AI Cloud Partner headquartered in Vancouver, announced the launch of its Agency Partner Program (APP) on Tuesday. The program lets advertising agencies re‑brand GSC’s AI‑driven procurement stack—comprising a CPG Knowledge Graph, a catalog of 38,350 beauty‑and‑personal‑care (BPC) brands, and a suite of machine to machine (M2M) protocols—as a proprietary service for their existing B2C clients who are moving into B2B commerce.
The core of the offering is a set of AI agents that negotiate purchase orders directly with retail‑grocery gatekeepers across 50 markets. Each transaction is logged in a per‑client telemetry feed that agencies can surface on their own dashboards, while GSC handles the underlying infrastructure, security, and compliance. Agencies retain their rate cards, client relationships, and brand visibility; the GSC engine operates entirely behind the scenes.
How the technology works
APP runs on four “MCP” (Machine Commerce Protocol) servers: a catalog server that exposes the knowledge graph via JSON feeds, a procurement server that mediates order placement through the GSC Navigator UI, a telemetry server that streams live transaction data, and a partner server that registers each agency as a discoverable agent in the broader AI‑agent economy. The stack is built on Azure sovereign nodes and integrates with standard A2A (application‑to‑application) endpoints used by SAP, Google Cloud, and Microsoft ecosystems.
Why the announcement matters
Gartner’s 2026 Strategic Predictions project that by 2028, 90 % of B2B purchases will be mediated by AI agents, funneling roughly $15 trillion of spend through automated exchanges. Cloudflare Radar already shows agentic traffic eclipsing human‑generated traffic on the open internet as of June 2026, accounting for about 60 % of total volume. In that context, GSC’s claim of 9.5 million AI‑agent transactions per month—representing an estimated 15–20 % of global agentic grocery procurement—places it among the few providers with proven scale.
For agencies, the program offers a new recurring‑revenue line without the need to hire a dedicated AI engineering team. The promise of “first client live in under 10 days” is anchored in pre‑positioned agents on Azure regions, reducing time‑to‑market compared with building a bespoke solution from scratch.
Industry impact
The white‑label model challenges traditional B2B marketplaces such as Amazon Business, SAP Ariba, and Coupa, which operate as stand‑alone platforms. Those solutions require buyers and sellers to adopt the vendor’s UI and data model, whereas APP lets agencies keep the customer experience entirely under their own brand.
Enterprise marketing teams stand to gain a new distribution channel that bypasses human decision‑makers. By exposing product catalogs in a machine‑readable format, brands can be discovered by procurement bots that scan for price, sustainability credentials, and compliance tags. The telemetry feed also promises attribution data that has been missing from the “black box” of automated purchasing, enabling marketers to tie spend back to ROI in a way comparable to traditional ad‑tech measurement.
Potential drawbacks
The reliance on Azure and Microsoft‑centric protocols may limit integration with firms heavily invested in Google Cloud or on‑premise data lakes. Moreover, the shift to agentic commerce raises compliance questions around data sovereignty and auditability, especially in regions with strict privacy regulations. Agencies will need to ensure that the telemetry data they surface meets GDPR, CCPA, and emerging AI‑ethics standards.
Comparative outlook
While competitors like Alibaba’s “Intelligent Procurement” and IBM’s “Supply Chain Insights” focus on internal automation for large enterprises, GSC’s APP is positioned as a service that agencies can resell. This creates a hybrid model where the agency remains the client‑facing entity, but the heavy lifting is outsourced to a specialist AI provider.
Future considerations
If the projected 90 % AI‑agent adoption rate materializes, the demand for white‑label solutions could spur a wave of similar partnerships across other verticals—industrial equipment, pharmaceuticals, and even services. The key differentiator will be the depth of the underlying knowledge graph and the ability to provide real‑time telemetry that satisfies both marketers and finance teams.
Subheadings for article where needed
- The mechanics of GSC’s white‑label AI stack
- Market forces driving agentic B2B procurement
- Benefits and risks for agencies and brand marketers
- How APP stacks up against existing B2B platforms
Market Landscape
The B2B commerce sector is at a inflection point. IDC estimates that AI‑driven procurement will account for $12 trillion of spend by 2027, up from $4 trillion in 2023. Traditional ad‑tech platforms are already integrating first‑party data signals into programmatic buying, but the shift to machine‑to‑machine purchasing removes the human impression layer altogether.
Retail‑media networks, which have become a $30 billion industry, are beginning to expose API endpoints for automated buying, yet few offer the end‑to‑end agentic workflow that GSC claims to deliver. The convergence of AI, cloud infrastructure, and standardized MCP protocols is creating a new ecosystem where agencies can act as “brand‑as‑service” providers, leveraging AI agents as a distribution medium rather than a marketing channel.
Top Insights
- GSC’s APP gives agencies a ready‑made AI‑agent stack, cutting development time from months to days.
- Agentic traffic now exceeds human traffic on the open internet, according to Cloudflare Radar (June 2026).
- Gartner predicts 90 % of B2B purchases will be AI‑mediated by 2028, opening a $15 trillion market.
- White‑label agents let brands keep their own branding while tapping into GSC’s 9.5 million monthly transactions.
- Compliance and data‑sovereignty remain critical hurdles as AI agents handle purchase‑order data across 50 markets.
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