Document type: Framework | Version: 1.0 | Published: 28 July 2026
Executive Abstract
A framework for product and merchant discovery across conversational comparison, structured feeds, availability grounding, checkout, and governance.
Definisi
Agentic Commerce Discovery adalah sistem yang memungkinkan AI membantu pengguna menemukan, membandingkan, memverifikasi, dan bila diizinkan melanjutkan pembelian. Optimasi tidak berhenti pada product copy; sistem harus menjaga identity, catalog structure, price, inventory, merchant responsibility, dan transaction boundary.
Ruang Lingkup
- Product feeds, product identity, variants, availability, price, merchant identity, return policy, checkout, delegated payment, dan attribution.
- ACP, UCP, MCP, A2A, REST, embedded flows, dan website product pages.
- Discovery sampai handoff atau controlled transaction.
Batas dan Pengecualian
- Tidak menjamin produk dipilih hanya karena feed tersedia.
- Tidak mencampur organic recommendation dengan sponsored placement.
- Tidak memindahkan merchant-of-record responsibility tanpa dasar kontraktual.
Model Operasional
Catalog Understanding
Produk, variant, attribute, image, dan category harus konsisten.
Freshness
Harga, stok, promosi, dan availability harus memiliki timestamp serta update cadence.
Merchant Verification
Legal identity, domain, fulfillment, payment, dan support harus dapat diverifikasi.
Decision Support
Comparison harus memuat constraint, trade-off, dan suitability.
Transaction Control
User confirmation, payment boundary, tax, fulfillment, refund, dan support tetap jelas.
Measurement
Pisahkan feed inclusion, product exposure, recommendation, click, checkout, dan order.
Langkah Implementasi atau Pengujian
- 1. Normalisasikan product identity dan variants.
- 2. Tetapkan feed freshness SLA.
- 3. Verifikasi merchant entity dan domain ownership.
- 4. Uji search, comparison, availability, dan checkout handoff.
- 5. Audit organic, sponsored, dan transactional reporting secara terpisah.
Evidence Requirements
- Catalog schema dan sample payload.
- Freshness timestamps.
- Inventory and price validation.
- Merchant policy documents.
- Transaction and attribution logs.
Governance dan Versioning
Commerce agent harus memprioritaskan user control, minimal data sharing, dan clear responsibility. Setiap protocol integration harus mengikuti status availability provider.
Keterbatasan
- Platform dan merchant onboarding dapat terbatas.
- Inventory dapat berubah lebih cepat daripada crawl atau feed processing.
- Personalization dapat membuat hasil berbeda antar-user.
Sumber Primer
- OpenAI Agentic Commerce Protocol
- OpenAI product discovery in ChatGPT
- Google Universal Commerce Protocol
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Knowledge Relationships
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- Is Part Of: Framework
- Related To: Agentic Web Readiness Framework
- Related To: AI Answer Engineering
- Related To: AI Citation Framework
- Related To: Graph
- Related To: System Map
