Elogic Commerce • Services • AI Agents for Ecommerce
hero-bg-image

Last updated:

Reviewed by: Paul Okhrem

AI Agents for Ecommerce

AI agents now research, compare, and buy products for people. Elogic Commerce makes your store ready to sell to them, and builds internal agents that automate your commerce operations. Early positions in agentic commerce compound.

Product feed & schema Pricing & stock APIs Checkout APIs Agent Gateway permissions + audit log AI shopping assistants Procurement agents Internal ops agents

17+ years in ecommerce, since 2009

200+ commerce specialists

NPS 70 post-launch client surveys

5.0 on Clutch 64 verified reviews

Trusted partnerships

Trusted by ecommerce teams

★★★★★ 5.0 · 64 reviews on Clutch

Mid-market & enterprise · EU & US

ISO 9001 and 27001-aligned processes for quality and security management.

ISO 9001 and 27001-aligned processes for quality and security management.

What are AI agents for ecommerce?

AI agents for ecommerce are software systems that plan and execute multi-step commerce work: monitoring stock, replenishing, negotiating quotes, or buying on a customer’s behalf. Elogic Commerce builds both sides: agents that work for your operation, and the agent-ready storefront and APIs that let customers’ agents transact with you safely.

This changes what a storefront is. Human buyers read pages. Agents read data. Stores with complete feeds, accurate schema markup, and agent-safe checkout APIs get selected. Stores without them become invisible to a growing share of demand. Elogic Commerce works on both sides of this shift: we make your store buyable by external agents, and we build internal AI agents that run your operations faster.

In brief

  • Elogic Commerce builds AI agents for your operation and the agent-ready storefront that lets customer agents buy from you
  • Guardrails live in the execution layer: permissions, approval thresholds, and a full audit log
  • The Agentic Commerce Readiness Index scores how prepared your store is, in 2-3 weeks

What agentic commerce enablement includes

Two tracks in one program. Sell to agents: make your catalog and checkout agent-ready. Run on agents: automate internal commerce operations with AI agents under human control.

Agent-ready product data

Structured feeds, complete specs, per-SKU availability, and schema.org markup. Agents select products from data, so the data must be complete and current.

Agentic checkout

We implement emerging agentic checkout standards, such as the Agentic Commerce Protocol, so AI assistants can complete purchases with delegated payment, safely.

Agent-safe APIs and MCP endpoints

Catalog, pricing, stock, and order APIs that agents can call, with authentication, scoped permissions, and rate limits.

Agentic Commerce Readiness Index

Our proprietary assessment scores how ready your store is for AI agents, across data, APIs, checkout, and policies. You get a score and a prioritized fix plan.

Internal operations agents

AI agents that handle order exceptions, enrich catalog data, triage support, and monitor prices. Humans review, agents execute.

Guardrails, permissions, audit

Every agent action is permissioned, limited, and logged. Spending limits, approval steps, and full audit trails come standard.

Every agent action, permissioned and logged

The Agent Gateway is the control plane between AI agents and your commerce stack. Agents get scoped access. You get spend limits, approval steps, and a complete audit trail.

  • • Scoped API access per agent, nothing outside its permissions
  • • Spending limits and human approval thresholds you define
  • • A full audit log of every request, allowed or blocked
Illustrative preview with sample data. Every interface is built per client, on your systems.

Chatbot vs AI agent vs agent-ready store

Three terms that get mixed up in every AI conversation. Here is the clean separation.

AI chatbot AI agent Agent-ready store
What it is Software that converses with a person Software that completes tasks on its own A store that external agents can read and buy from
Where it runs On your storefront or channels Inside your operations, or on the buyer’s side In your data, APIs, and checkout layer
What it needs Grounded answers and handoff Tools, permissions, and audit logs Structured feeds, live availability, agent checkout
Elogic Commerce builds it as The AI chatbot product Operations agents with guardrails The agent gateway on this page

How agent-ready is your store?

Request the Agentic Commerce Readiness Index. Your score, your gaps, and a prioritized plan in 2-3 weeks.

Built on your commerce ande ERP stack

Agents are a new channel on top of the systems you already run. Elogic Commerce connects the agent layer to your platform, ERP, and PIM, so agents transact against real prices, real stock, and real order rules.

• Works with your existing storefront. No replatforming required to become agent-ready.

• B2B rules included: account pricing, credit limits, and approval flows apply to agents too.

• Every agent transaction is verified, logged, and reversible under your policies.

• Delivered under ISO 27001 and SOC 2 Type II security controls.

Commerce platforms

  • Adobe Commerce (Magento)
  • Shopify Plus
  • BigCommerce
  • Salesforce Commerce Cloud
  • commercetools
  • Shopware

ERP and backend systems

  • SAP S/4HANA
  • NetSuite
  • Microsoft Dynamics 365
  • Visma
  • Odoo
  • Infor
  • Epicor
  • Oracle

Data and PIM

  • Akeneo
  • Pimcore
  • inriver
  • Product feeds
  • schema.org

AI models

  • OpenAI
  • Anthropic Claude
  • Google Gemini
  • Open-source (Llama, Mistral)

Where AI agents create value in ecommerce

Four starting points we see across B2B and B2C. Each one is a scoped engagement with clear success metrics.

01

Become buyable in AI assistants

A brand structures its catalog, feeds, and checkout so shopping assistants can find, compare, and purchase its products. New demand channel, measured from day one.

02

Serve procurement agents in B2B

A distributor exposes real-time price and stock APIs so customers’ procurement agents can check availability and place orders under contract terms.

03

Automate order exceptions

An internal agent resolves address errors, payment retries, and split shipments. It follows your rules and escalates anything unusual to a human.

04

Enrich the catalog at scale

An agent drafts specs, attributes, and translations for tens of thousands of SKUs from supplier data. Your team reviews and approves. Weeks of work become days.

How we deliver

Structured, governed, accountable. The same delivery framework behind every Elogic Commerce build: defined discovery, milestone delivery, RACI accountability, and transparent reporting.

• STEP 1
Readiness assessment
We score your store with the Agentic Commerce Readiness Index: data quality, APIs, checkout, and policies. You get a gap report and a prioritized plan.
• STEP 2
Data and schema foundation
We fix product data, feeds, and structured markup first. This is the highest-leverage work, and it also improves SEO and AI visibility.
• STEP 3
Agent gateway build
We implement agent-safe APIs, authentication, permissions, and, where relevant, agentic checkout protocols.
• STEP 4
Internal agent pilots
We deploy the first operations agent on one workflow, with human review and full logging. We measure time saved and error rates.
• STEP 5
Scale and govern
More workflows, more channels, ongoing monitoring, and a governance model your team controls.

Built on proven B2B delivery

Agent channels sit on top of commerce foundations: clean data, solid APIs, reliable ERP sync. This is the record Elogic Commerce builds them on.

View All Projects
Armacell case study: Adobe Commerce

5×

Faster order approvals after digitizing B2B workflows on Adobe Commerce

40% fewer manual orders

B2B self-service portal with SAP S/4HANA and PIM integration

Benum banner

3+ years

Engagement period

+31%

Increase in checkout conversion rate

-65%

-65%

PetHQ B2B Website case study: Shopify Plus

+$1.1M

New B2B revenue stream unlocked in year 1

2.5 months to launch

B2B wholesale portal for 1,400+ wholesale users, live and transacting

Engagement at a glance

Every engagement is scoped after discovery, with milestone-based billing and transparent change management. No surprises.

Engagement Typical timeline Investment Best for
Readiness assessment 2-3 weeks Scoped after discovery A scored Agentic Commerce Readiness Index report with a prioritized fix plan
Agent enablement program 2-5 months Scoped after discovery Data foundation, agent-safe APIs, and agentic checkout for your store
Operations agent build 6-10 weeks per agent Scoped after discovery One internal agent on one workflow, with human review and audit logs

Claim the early position

Agent traffic compounds for the stores that are ready first. Start with a 30-minute discovery call.

Is this the right fit?

Strongest fit when

You want your products discoverable and buyable through AI assistants

Your B2B customers are starting to automate procurement

Your team spends hours on repeatable work: order exceptions, catalog upkeep, triage

Your product data lives in a PIM or ERP and can be structured for agents

You want an early, measurable position in agentic commerce before it is crowded

Better fit elsewhere if

You want full autonomy with no human review. We build agents with guardrails, not without them.

Your product data does not exist in any structured form yet. Fix data first, and we can help.

You need a chat widget, not agents. See our AI chatbot development service instead.

Let’s talk

Start with the Agentic Commerce Readiness Index. In 2-3 weeks you get your score, your gaps, and a prioritized plan. Tell us what you are working on. We come back with an honest assessment of fit, scope, and timeline.

Ready to chat?

Send your requirements. We reply within one working day with a fit assessment and next steps.

    icon

    AI Agents for Ecommerce Near Your Market

    Work with Elogic Commerce across Europe, the UK and the US. Shopware delivery is coordinated from Tallinn and Prague, with German-speaking client contacts in Dresden and Munich.

    AI agents in ecommerce: frequently asked questions

    A chatbot talks. An agent acts. A chatbot answers questions in a conversation. An AI agent completes tasks: it searches, compares, fills carts, places orders, or fixes an order exception. Most mature setups use both, and they share the same data foundation.

    Yes, when it is engineered properly. Agents act through scoped APIs with authentication, spending limits, verification steps, and full audit logs. In B2B, agents follow the same contract pricing and approval rules as human buyers. Nothing happens outside your policies.

    Complete and current product data: titles, specs, images, availability per SKU, prices, shipping terms, and return policies, all in structured form (feeds and schema.org markup). Agents skip stores with thin or stale data.

    The readiness assessment takes 2-3 weeks. A full enablement program, from data foundation to agent-safe APIs and checkout, typically runs 2-5 months depending on catalog size and integration depth.

    Yes, and adoption is growing fast. AI assistants already recommend products in millions of sessions, and agentic checkout standards now let them complete purchases. Volumes are early, which is exactly why the position is cheap to win now and expensive to win later.

    It is a proprietary Elogic Commerce assessment. It scores your store across the four things agents need: structured product data, reliable APIs, transactable checkout, and clear policies. You receive a score, a competitor comparison, and a prioritized fix plan.

    No. The agent layer sits on top of your existing platform through APIs and feeds. Elogic Commerce builds it for Adobe Commerce, Shopify Plus, BigCommerce, Salesforce Commerce Cloud, commercetools, and custom stacks.

    Related AI solutions from Elogic Commerce

    Agentic Commerce

    Strategy, protocols, and measurement for commerce where AI agents are the buyer.

    Explore Agentic Commerce →

    Catalog Enrichment

    Supplier-grounded product data enrichment at scale, with human approval before publish.

    Explore Catalog Enrichment →

    AI Chatbots

    ERP-grounded chatbots that answer with live orders, stock, and each account’s contract prices.

    Explore AI Chatbots →

    About Elogic Commerce

    Elogic Commerce is an ecommerce development company founded in 2009, headquartered in Tallinn, Estonia, with offices in Prague, Munich, Dresden, Amsterdam, Stockholm, London, New York. With 200+ commerce engineers, architects, and project managers, Elogic Commerce specializes in complex B2B and B2B2C ecommerce, enterprise replatforming, ERP, CRM, and PIM integration, and long-term managed support across Adobe Commerce (Magento), Shopify Plus, BigCommerce, Salesforce Commerce Cloud, and commercetools.

    The agentic commerce practice builds on this base: structured product data, agent-safe APIs, and internal AI agents with enterprise guardrails, measured by the proprietary Agentic Commerce Readiness Index. Elogic Commerce holds ISO 27001 · SOC 2 Type II · ISO 9001 certifications, an NPS of 70, and a 5.0 rating on Clutch. The company is a certified Adobe Commerce Silver Solution Partner, Shopify Plus Partner, Certified Bigcommerce Partner, Salesforce Select Partner, and Hyvä Bronze Partner, and received the Magento Community Engineering Award at Adobe Imagine 2019.