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Leading brands are already getting AI traffic. Most are not ready for it.
The Agentic Commerce Readiness Assessment gives you a scored, evidence-linked baseline across eight customer journey vectors and four commerce estate domains. Every score is backed by proof. Every gap maps to a fix. Your readout ends with a live target-state prototype and a roadmap to make it stand up in production.
Three engagement paths. Four delivery phases. One scoring model.
Engagement options
Rapid findability audit
A fast read on what AI assistants find and say about you, plus discoverability and catalog answerability recommendations.
- 1 week
Core assessment
Evidence‑linked scorecard across all 8 vectors, prioritized roadmap, and a working target state prototype.
- 3–4 weeks
End-to-end assessment
Full 8 vector x technical estate matrix map, a platform + process modernization roadmap, and a target‑state prototype.
- 6–8 weeks
The core and end‑to‑end assessments run the full four‑phase process to surface readiness gaps and map concrete fixes. The rapid audit condenses those steps into a fast pass focused on visibility and discovery.
- Explore & understand. Intent workshop and evidence collection to pre‑populate the scorecard with your real context.
- Probe & test. Probe kit runs, answerability testing, and conformance dry‑runs, plus end‑to‑end reviews of UXR, platform, and ops.
- Replay & suggest. Evidence‑linked scoring and a heatmap, replayed in a read‑back session before conclusions harden.
- Roadmap & prototype. Three‑horizon roadmap, target‑state working prototype, executive readout, and full handover of the assets.
Five vectors cover the customer journey; three cover the foundations that support it. Together they show how ready you are, end to end.
- Product discovery. Can your catalog answer occasion, fit and pairing questions?
- Visibility & awareness. Do AI assistants find, cite and describe you correctly?
- Intent & decision. Can an agent carry the mission on your own surfaces?
- Purchase & transaction. Can external agents buy, with your payment economics intact?
- Serve & retain. Can agents handle order status, returns and reorders anywhere?
- Brand sovereignty, trust & governance. Do you keep the customer, the margin, the brand voice, and control?
- Data & measurement foundations. Can you see agentic demand and prove value before and after?
- Organization & operating model. Does someone own this, so it survives your team changing?
Included in the end-to-end assessment: every low vector score traces to a root cause in the tech stack beneath it.
- Experience readiness. Do customers want and successfully use agentic experiences?
- Operations & supply chain. When an agent promises price, stock or delivery, is it true?
- Platform & composability. Can your platform expose what agents need?
- Cloud & AI foundation. Can your estate run agent workloads reliably and affordably?
Every dimension in every vector is scored 0–4 on this scale, with mandatory evidence. Vector scores roll up to one Agentic Commerce Readiness Index: comparable across quarters, so re-assessment becomes a recurring motion.
- Level 0: Invisible. Agents can’t find, parse or act on your brand.
- Level 1: Visible. Findable and correctly described, with healthy feeds and structured data.
- Level 2: Conversational. Your catalog answers intent-level questions on your own surfaces.
- Level 3: Transactable. External agents complete purchases under contract, payments and identity intact.
- Level 4: Autonomous-ready. Your brand agent operates in agent-to-agent flows, with guardrails and a funded operating model.
Proof, not promises
How this plays out in production
7% revenue, 2X faster merch
For iconic French department store Galeries Lafayette, Grid Dynamics and Google Cloud implemented AI Search for Commerce and the Merchandising Experience Platform across more than 600,000 SKUs. The retailer reports a 7% revenue uplift, an 8% increase in average basket value, a 20% YoY online sales lift, and merchandising cycles running at roughly twice the previous speed.
+4% revenue per customer
Grid Dynamics modernized B2B search and discovery for a Fortune 100 foodservice distributor serving more than 600,000 clients. Google Cloud AI Search for Commerce and Catalog Enrichment pipelines cut zero‑result searches by 86%, increased add‑to‑cart rate by 11%, and optimized product content at scale, lifting average revenue per customer by 4%.
400% higher online spend
Grid Dynamics built the integration, product data feeds, and agent evaluation framework behind a Fortune 500 department store’s AI shopping assistant. The retailer reports substantially higher online spend among assistant users versus non-users.
1.2M AI-referred traffic in a month
Grid Dynamics helped a Fortune 100 home improvement retailer integrate an agentic assistant that understands complete jobs rather than single products. Customers describe projects in plain language and receive expert recommendations plus aisle‑level directions in store. The brand is the #1 AI‑referral destination in the Home and Garden category, with around 1.2 million visits in a recent month.
You’re one step closer to agentic commerce readiness
Share a few details and any additional context to schedule a discovery session with Grid Dynamics and Google Cloud’s agentic commerce leads to scope your priorities and next best steps.
Industry Recognition
MACH, Agent Ready 2026 Award
MACH Alliance Awards, Best Retail Project
AutoZone, IT Supplier of the Year
Sysco, Technology Partner of the Year
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