Production-grade AI wired into your Shopify stack chat agents that resolve tickets, personalization that lifts AOV, copilots that draft merchandising at speed. We build the prompts, the data plumbing, and the guardrails.
Plenty of agencies will demo a chatbot. Very few will wire it into your Shopify product feed, your Klaviyo flows, your help docs, your order history, your CRM and put guardrails on it that survive contact with real customers.
Seedcms is a leading AI integration agency for commerce. We build agents that earn their keep: support automation, personalization, merchandising copilots, predictive segments. Measured, monitored, and tuned in production.
We start with one agent that pays for itself. The roadmap grows from there.
What an Agentic Commerce engagement covers the scope, the deliverables, and the operational reality of shipping each piece.
Real-time recommendations and ranking surfaces tuned to behavior, lifecycle, and intent. PDP, cart, home page, search results.
Tuned LLM agents wired to your help docs, order data, and product catalog. Resolves tier-1 tickets autonomously, routes the rest with full context.
Bulk-generate on-brand product copy, alt text, meta, and translations. Outputs land as Shopify drafts for your team to approve.
How we run an Agentic Commerce engagement. Sequenced so each phase de-risks the next.
Define the agent's job. What does success look like tickets resolved, AOV lifted, hours saved? We agree the metric before we touch a model.
Audit and prep the data the agent needs help docs, order history, product catalog, customer signals. Vector DB, embeddings, ground truth.
Prompt engineering, tool design, retrieval pipelines, fallback logic. Built on OpenAI, Anthropic, or open models depending on the use case.
Eval suites against a held-out set of real cases. Hallucination tests, bias checks, latency budgets. We don't ship to production without numbers.
Ramped rollout 10%, 50%, 100% with kill switch ready. Live monitoring, error logs, customer feedback signal collected from day one.
Continuous improvement. Every customer interaction is a training signal. We tune prompts, re-rank retrievals, and ship updates weekly.
Tools and partners we deploy on Agentic Commerce engagements. Certified, integrated, and chosen on purpose.
The questions we get about Agentic Commerce before brands sign. If yours isn't here, ask us directly.
Depends on the use case. Our deployed support agents resolve ~62% of tier-1 tickets autonomously and route the rest to humans with full context. Personalization models typically deliver a 12–22% AOV lift within 6 weeks.
We don't ship anything we can't measure. Every agent has an eval suite, a held-out test set, and a defined success metric agreed before launch.
Retrieval-augmented generation, tight system prompts, output validators, and a fallback path to human handoff. We use grounded responses (cite-or-don't-answer) for support and finance use cases.
Pre-launch, every agent runs against an adversarial test, known confusing queries, edge cases, prompt-injection attempts. We don't ship until the failure modes are documented and bounded.
With the one agent that pays for itself fastest. Usually that's support automation measurable, bounded scope, immediate ROI in deflected tickets. From there we sequence into personalization, then merchandising copilots, then predictive segments.
We'll do an ROI workshop in week one to rank your ideas by impact and effort.
Embeddings and retrieval indexes refresh on a schedule daily for help docs, real-time webhooks for product changes, hourly for inventory. The agent always sees the current state of your store.
Prompt and model improvements ship through the same CI/CD pipeline as the rest of your storefront.
PII never leaves your perimeter without explicit need. We use redaction layers on inbound prompts, scoped API keys, and per-tenant isolation on retrieval indexes. SOC 2 and GDPR-compliant by design.
We can run on your infrastructure if the data residency requirement demands it.
Most clients move to a monthly retainer with us after the initial build. Prompts drift, models improve, your catalog changes, customer expectations shift agents need active maintenance to stay sharp.
If you have an in-house ML team we transfer ownership with full documentation, runbooks, eval suites, and an embedded knowledge-transfer week.
30-minute intro call. No deck, no sales theater just senior people, your roadmap, and an honest answer on whether we're the right fit.
Book an intro call