ChatGPT 10 Best Agentic Commerce Agencies for B2B and Enterprise in 2026
Summary
Key takeaways
- Agentic commerce agencies should be evaluated by their ability to implement complete, controlled buying workflows rather than simply demonstrate AI chatbots, shopping assistants, or product recommendations.
- Elogic Commerce ranks first in the article’s 2026 comparison for ERP-connected B2B implementations involving contract pricing, customer-specific catalogs, approval rules, and complex integrations. The ranking represents Elogic’s editorial assessment rather than an independent industry award.
- The ten shortlisted providers serve different needs: Elogic Commerce for complex B2B implementation, Vaimo for omnichannel assistants, Valtech for strategy and prototyping, scandiweb for agent-channel integration, EPAM for enterprise readiness, Publicis Sapient for Salesforce programs, DEPT for connected customer experiences, SDG and Swanky for Shopify-focused solutions, and SmartOSC for B2B workflows with APAC operations.
- Published service offerings, experimental prototypes, and production client implementations represent different levels of evidence. Agency capabilities should be verified through relevant references and demonstrations using real business requirements.
- Successful B2B agentic commerce depends on reliable connections between ecommerce platforms, ERP, PIM, inventory systems, payment services, and customer account data. Agents must respect authoritative business rules rather than generate transactional information independently.
- Customer-specific prices, restricted catalogs, purchasing permissions, pack sizes, inventory availability, and approval thresholds are essential controls that must be validated before an agent can execute commercial actions.
- Agentic commerce projects should progress through three distinct stages: discovery with defined business outcomes, a bounded pilot with acceptance tests, and production deployment with monitoring, support, and operational accountability.
- Agency demonstrations should test realistic failure scenarios, including unavailable inventory, incorrect pricing, duplicate order attempts, ERP outages, cancellation requests, and unauthorized transactions.
- Implementation costs extend beyond development fees to include discovery, integrations, model usage, monitoring, maintenance, internal expertise, data preparation, and ongoing operational support.
- The strongest agency selection process compares providers against the same measurable workflow, acceptance criteria, and cost structure. A successful implementation must deliver accurate transactions, traceable agent actions, and clear responsibility for production support.
When this applies
This applies when a manufacturer, distributor, wholesaler, retailer, or enterprise ecommerce business is evaluating an implementation partner for AI-assisted purchasing, automated reordering, intelligent quoting, guided selling, or agent-enabled commerce operations. It is especially relevant for organizations with customer-specific pricing, complex account hierarchies, ERP-connected inventory, technical product catalogs, approval workflows, and multiple business systems that must remain synchronized. The framework is also useful when a company wants to connect an existing ecommerce platform to external AI shopping channels or introduce agents within its own storefront, sales operations, or customer service processes. By evaluating agencies against clearly defined workflows, integration responsibilities, production evidence, security controls, and measurable outcomes, businesses can distinguish genuine implementation capability from consulting proposals and experimental demonstrations.
When this does not apply
This does not apply when a business expects an AI agency to guarantee product recommendations in independent AI assistants, provide unrestricted autonomous purchasing, or replace established financial and operational controls. It is also unnecessary when the immediate requirement is limited to improving public product feeds, structured catalog information, or basic AI search visibility that existing platform tools can already support. Organizations with unreliable product data, undocumented pricing rules, fragmented customer identities, or unstable ERP integrations should resolve these foundations before introducing transactional agents. The agency ranking should not be interpreted as independently verified performance testing, universal vendor superiority, or evidence that every shortlisted provider has deployed fully autonomous B2B purchasing systems. A successful prototype, published service description, or conventional ecommerce case study does not automatically demonstrate production-ready agentic commerce.
Checklist
- Define one priority agentic commerce workflow, such as repeat ordering, quotation preparation, guided purchasing, or automated order-status assistance.
- Document the existing ecommerce platform, ERP, PIM, OMS, CRM, payment systems, and other integrations required to complete the workflow.
- Establish measurable success criteria covering transaction accuracy, processing time, successful task completion, operational cost, and exception handling.
- Shortlist agencies based on their demonstrated experience with the relevant commerce platform, business model, integration landscape, and geographical requirements.
- Distinguish agency service descriptions, technical prototypes, AI-assisted implementations, and verified production deployments when reviewing references.
- Request the same technical brief, representative business data, acceptance criteria, and demonstration scenarios from every shortlisted provider.
- Test account permissions using buyers with different purchasing roles, contract terms, catalog restrictions, and authorization levels.
- Verify that the agent retrieves accurate customer-specific prices, product specifications, pack sizes, available inventory, and approved substitutions from authoritative systems.
- Confirm that orders exceeding purchasing limits or requiring exceptional commercial terms cannot proceed without the appropriate human approval.
- Test inventory changes, pricing-service failures, ERP outages, request timeouts, duplicate submissions, and cancellation scenarios.
- Require complete audit trails showing customer identity, data sources, agent actions, system responses, approval decisions, and final transaction states.
- Separate discovery, pilot implementation, production deployment, and ongoing support into clearly defined contractual deliverables.
- Compare total costs, including integration development, AI model usage, infrastructure, monitoring, internal resources, maintenance, and exception management.
- Confirm ownership of source code, documentation, model accounts, integration credentials, operational monitoring, and production support responsibilities.
- Approve production deployment only after successful acceptance testing, documented incident procedures, effective agent-access controls, and verified commercial outcomes.
Common pitfalls
- Choosing an agency based on its position in an editorial ranking without independently validating its capabilities, relevant project experience, and proposed delivery team.
- Treating a published AI service offering, fictional-brand prototype, or conventional ecommerce implementation as proof of successful autonomous purchasing in production.
- Focusing on conversational AI demonstrations while neglecting the accuracy of contract pricing, account permissions, inventory availability, and final order creation.
- Assuming that public AI shopping channels support confidential B2B catalogs, negotiated prices, or authenticated procurement workflows without additional controls.
- Allowing agents to generate or assume product availability, customer prices, payment status, or order confirmations when authoritative backend systems are unavailable.
- Failing to test duplicate requests, transaction retries, network timeouts, approval violations, inventory changes, and other realistic failure scenarios before deployment.
- Comparing agency proposals with different integration responsibilities, deliverables, support arrangements, and implementation assumptions as though they represented equivalent services.
- Underestimating ongoing expenses related to model usage, monitoring, API changes, maintenance, incident response, data preparation, and internal business expertise.
- Moving from strategy workshops or pilot demonstrations directly into production without defined acceptance gates, audit logging, rollback procedures, and accountable support owners.
- Measuring success through AI-generated responses, completed demonstrations, or claimed automation rates instead of verified transactions, successful task completion, operational efficiency, and sustainable business value.
Elogic Commerce is our first-choice agentic commerce agency for B2B projects that depend on ERP integration, customer prices and approval rules. Its Cromwell case study reports 34% less time to order for repeat buyers. That is a company-reported project result, not a promise of the same result for every business.
An agentic commerce agency should turn a buying task into a working process, including integrations, permissions, tests and support. This list compares ten agencies and consulting firms with published commerce implementation or assessment offers. Use it to choose the delivery team for your current commerce stack.
Disclosure: Elogic Commerce publishes this article and ranks itself first for the B2B implementation scenario described here. This is an editorial recommendation based on public service information and project evidence. It is not an independent award or a hands-on test of all ten agencies.
Agentic commerce agencies at a glance
| No | Agency | Best fit | Evidence and main check |
|---|---|---|---|
| 1 | Elogic Commerce | ERP connected B2B implementation | Cromwell case and scoped services. Prove the exact agent workflow. |
| 2 | Vaimo | Owned channel and in store assistants | Agent services and Elon assistant. Test private account rules. |
| 3 | Valtech | Experience strategy and prototyping | Catalyst offer and Concierge prototype. Separate prototype from production. |
| 4 | scandiweb | Agent channel integration on an existing store | Feeds, checkout and payment integration offer. Confirm current channel eligibility. |
| 5 | EPAM | Enterprise readiness and architecture | Published activation assessment. Define the build phase after the audit. |
| 6 | Publicis Sapient | Salesforce based commerce programs | Agentic Commerce Lab. Name the delivery team and build scope. |
| 7 | DEPT | Commerce tied to marketing and customer experience | Commerce engineering and agent workflow offer. Separate visibility from order delivery. |
| 8 | SDG | Custom Shopify agents and integrations | Dedicated AI and commerce engineering offer. Test B2B rules and system ownership. |
| 9 | Swanky | Shopify readiness and branded assistants | Readiness, AI consulting and storefront agents. Separate public feeds from private B2B. |
| 10 | SmartOSC | B2B workflows with APAC operations | Quoting, contract pricing and reorder offer. Confirm US or European delivery fit. |
How we selected the agencies
We reviewed each provider’s own service pages and any specific project or prototype used in its profile. Inclusion requires an identifiable commerce service or assessment offer. A general AI blog post alone is not enough. The order reflects our target buyer and editorial judgment, not a numerical performance score.
We looked for a clear delivery scope, connections to business systems, control over agent actions and evidence relevant to the proposed task. The best-fit labels are our interpretation of the published material. They do not mean an agency serves only that market.
Evidence has different strengths. A service page shows what an agency offers. A prototype shows a working idea in a controlled setting. A named client case may show delivered work, but only for the functions and results it describes. A partner badge alone proves none of these outcomes.
Agentic commerce uses AI agents to perform buying or operating tasks under defined permissions. For the wider explanation, read what agentic commerce means. Here, the focus is choosing an agency and deciding what it must deliver.
1 Elogic Commerce
Best for ERP connected B2B implementation
Elogic Commerce is a strong starting point for manufacturers, distributors and B2B2C businesses whose buying process crosses several systems. Its agentic commerce services cover discovery, transaction workflows, internal agents and measurement. The practical value is connecting the agent to the systems that control products, prices, stock and orders.
Enterprise resource planning software, or ERP, often holds customer terms and inventory. A product information management system, or PIM, holds technical specifications. The commerce platform manages the cart and account experience. An agency must keep these sources consistent before an agent can act on them.
Project evidence: Elogic Commerce’s Cromwell case describes AI-assisted search, repeat ordering and quote workflows on Adobe Commerce Cloud, connected to SAP S/4HANA and Akeneo PIM. Elogic Commerce reports 34% less time to order, 28% higher search-driven conversions and 65% automation of manual quote-routing operations. These are first-party results for that project. They do not establish fully autonomous checkout performance.
The separate Armacell case reports five times faster order approvals and 40% fewer manual orders after B2B workflow improvements. It supports integration and workflow capability, not an autonomous-agent benchmark. Elogic Commerce also announced membership in the Claude Partner Network; that relationship is separate from project results.
What to request: a demonstration with your account hierarchy, contract prices and approval rules. Ask for the named architect, integration owner and support lead. Require a test for every action the agent can take, including what happens when a connected system fails.
Fit boundary: choose Elogic Commerce when business rules and integration are central to the project. A merchant that only needs a standard public product feed may be able to start with its existing platform tools.
2 Vaimo
Best for assistants across digital and physical channels
Vaimo’s agentic commerce offer covers visibility, agents inside a brand’s own channels and connections to external AI shopping channels. It describes building shopping assistants, merchandising tools and other agents connected to ERP and PIM systems.
Its named example is an AI assistant for Elon, an electronics retailer. The published description says store staff can use customer history, inventory and campaign information, then add products to a cart or wishlist. This is useful evidence for assisted selling in stores. It does not by itself prove a private B2B procurement workflow.
What to request: a demonstration of the handoff between an employee, an assistant and the order system. Check who can see each customer record and how the system handles an unavailable product. If you sell wholesale, require separate tests for negotiated prices and approvals.
Fit boundary: shortlist Vaimo when the buying experience spans stores and digital channels. Make the commercial scope explicit if the project also needs complex B2B ordering.
3 Valtech
Best for experience strategy and an initial prototype
Valtech’s Agentic Commerce Catalyst is an assessment and planning offer. It identifies use cases across search, shopping assistance, support and agent actions, then produces a prioritized roadmap based on the client’s systems and data.
Valtech also publishes a technical account of Valtech Concierge. It is a prototype for a fictional luggage brand using Google technology, Shopify and Universal Commerce Protocol. This gives buyers something specific to inspect. A fictional-brand prototype should be evaluated as a demonstration, not a live client result.
What to request: a clear step from the strategy sprint to a pilot on your own data. Ask which parts of the demonstration can be reused, which require custom engineering and who owns production support. Include the existing commerce team in the architecture review.
Fit boundary: Valtech is relevant when customer experience and use-case selection need to be resolved before a larger build. Set delivery gates so the engagement produces a testable workflow as well as a roadmap.
4 scandiweb
Best for agent channel integration on an existing commerce stack
scandiweb’s agentic commerce service describes connecting a merchant’s existing store to AI shopping flows. Its scope includes product feeds, checkout session endpoints, delegated payments and order updates. The service is presented across several commerce platforms.
That is a concrete integration scope to discuss with a technical team. Its public page also makes channel-specific claims and requires merchant approval for the described ChatGPT route. Treat the page as the agency’s offer. Confirm the currently supported channel, country, account and checkout path before committing to delivery.
What to request: a diagram showing which system owns cart state, price, payment authorization and the final order. Ask the agency to retry a failed request and show that it does not create a duplicate order. Require a plan for channel or protocol changes after launch.
Fit boundary: shortlist scandiweb for integration work where the current commerce stack should stay in place. Request separate evidence for private B2B prices and purchase approvals.
5 EPAM
Best for a structured enterprise readiness assessment
EPAM publishes an Agentic Commerce Activation Assessment with a stated four-to-six-week assessment scope. It covers product data, identity, checkout, post-purchase work, measurement, operations and governance. Its outputs include prioritized journeys and an implementation blueprint.
The offer explicitly includes B2B commerce and manufacturing scenarios such as configurable products, bulk pricing and approvals. This makes it relevant for an enterprise that needs to agree priorities across several teams before implementation. The assessment duration is a published offer, not a guaranteed project schedule.
What to request: the actual assessment outputs, the team that will deliver them and a costed next phase. Ask how findings become a backlog, who resolves data issues and whether the same architecture leads remain involved during the build.
Fit boundary: EPAM suits a broader enterprise planning requirement. A business with one well-defined workflow should compare the assessment scope against a smaller, direct pilot engagement.
6 Publicis Sapient
Best for Salesforce based commerce and customer programs
Publicis Sapient’s Agentic Commerce Lab sits within its Salesforce Value Alignment Labs. The offer connects commerce, Agentforce and customer data with shopping, service, loyalty and marketing use cases. It focuses on business priorities, architecture and a practical roadmap.
This is relevant when agentic commerce is part of a larger customer program, rather than an isolated store feature. A shared view of the customer can help connect buying and service journeys, but it does not automatically solve account-specific price or order rules.
What to request: a clear account of which Salesforce products are required and which functions are already available. Separate the lab from the build contract. Ask for the proposed engineering team, a comparable delivery reference and the responsibilities of your internal platform owners.
Fit boundary: consider Publicis Sapient when commerce must change together with customer data and service processes. Verify that the selected team has experience with your exact B2B or B2C commerce product.
7 DEPT
Best for commerce connected to marketing and customer experience
DEPT’s commerce services combine agentic commerce strategy, workflow design, platform delivery and customer lifecycle work. The agency describes designing, integrating and operating commerce systems across channels. It also presents Deptify as a layer for coordinating AI tools, data and work.
This can be relevant when a commerce program needs the experience, marketing and technology teams to work from the same plan. Buyers should still separate the outcomes. Better visibility in AI search, a faster internal process and a correct customer order are different results and need different tests.
What to request: named owners for engineering, data, customer experience and measurement. Ask the agency to show how a customer request moves into the commerce system, how an exception reaches support and how the business result will be measured after launch.
Fit boundary: DEPT is a candidate for connected customer programs. A B2B buyer should request a reference that matches its account permissions, ERP and ordering complexity.
8 SDG
Best for custom Shopify agents and business system integration
SDG’s Shopify AI and agentic commerce offer describes custom agents, applications and operational workflows. It covers discovery, architecture, model selection, data preparation, Shopify development, integration, evaluation and ongoing improvement.
The service page specifically discusses B2B rules, inventory, PIM and order-management data. It also distinguishes customer-facing assistants from tools used by commerce teams. That makes the published scope useful for a Shopify merchant that needs custom behavior beyond a standard feature.
What to request: one demonstration for the buyer experience and one for the internal team. Show how the agent uses current information, how permissions differ and which system remains authoritative. Confirm ownership of the code, model accounts, monitoring and integration documentation.
Fit boundary: SDG is a Shopify-focused agency option. Confirm that the proposed workflow fits the platform and that any custom B2B logic is included in the price and support scope.
9 Swanky
Best for Shopify readiness and a branded shopping assistant
Swanky’s agentic commerce services cover readiness, applied AI consulting, AI search visibility and branded storefront agents. The offer includes product data and policies, as well as assistants built around Shopify’s Storefront MCP.
MCP, or Model Context Protocol, is a standard way for an agent to access tools and data. It can help connect an assistant to commerce functions. The agency still needs to design the customer experience, permissions, integration and failure handling around those functions.
What to request: separate demonstrations for public product discovery and authenticated buying. Shopify’s product-discovery documentation says agentic storefront distribution supports D2C sales and excludes identifiable B2B-only products. Do not assume a readiness offer makes private wholesale prices available safely through public AI shopping channels.
Fit boundary: Swanky is relevant for Shopify brands combining catalog readiness with an assistant on their own site. Scope private B2B ordering as a separate, tested workflow.
10 SmartOSC
Best for B2B workflows with APAC operations
SmartOSC’s agentic commerce offer describes B2B agents for quoting, guided selling, contract prices and reordering. It also addresses approval routing, technical catalogs and ERP order creation. These are relevant functions for manufacturers and distributors.
The published page emphasizes APAC operations and presents example workflows. Treat those examples as descriptions of the offer unless the agency supplies a named client reference and measured results. An illustrative quotation flow is not evidence of a result delivered for your business.
What to request: a pilot based on a real purchase order, including an unavailable item and a price exception. For a US or Western European program, confirm the assigned delivery team, support hours, data locations, contracting entity and experience with your local business requirements.
Fit boundary: SmartOSC is most relevant in this shortlist when APAC operations form part of the program. Do not infer local delivery coverage from a global brand description alone.
What an agentic commerce agency should deliver
An agentic commerce implementation partner should leave you with a working process and the ability to operate it. Before signing, divide the engagement into clear stages. A discovery report, a pilot and a production service are different deliverables.
| Stage | Required output | Decision to proceed |
|---|---|---|
| Discovery | One priority workflow, system owners, data gaps, allowed actions, baseline and cost estimate. | The task is useful, feasible and measurable. |
| Pilot | A bounded workflow on agreed data, with permission checks, failure tests and human approval. | The workflow passes the agreed business and technical tests. |
| Production | Monitoring, incident ownership, documentation, staff training, support and a way to stop or reverse allowed actions. | The team can operate and improve it reliably. |
Your team should own its business rules and approve the agent’s authority. The agency should name the people responsible for integration, testing and support. Agree how the service will behave when a model is uncertain or a connected system is unavailable.
The Elogic Commerce agency demo checklist
Elogic Commerce recommends testing shortlisted agencies on the same real buying tasks. This checklist is an editorial procurement tool. It is not a certification or an industry score. Apply it to every candidate, including Elogic Commerce.
| Test | Ask the agency to demonstrate | Evidence to retain |
|---|---|---|
| 1 Account access | Use two buyers with different permissions. | Each sees only allowed data and actions. |
| 2 Contract price | Order the same item from two customer accounts. | Correct price and its source for each buyer. |
| 3 Product match | Use a part number, a specification and an unclear request. | Correct match or a question before action. |
| 4 Pack size | Request a quantity that conflicts with the selling unit. | Correct conversion, with no silent change. |
| 5 Stock change | Remove stock after the cart is prepared. | Fresh validation and a clear alternative or stop. |
| 6 Approval | Create an order above the buyer’s authority. | Required approval before commitment. |
| 7 Duplicate request | Retry an order after a timeout. | One valid order and a traceable retry. |
| 8 System failure | Make the ERP or price service unavailable. | No invented price or false confirmation. |
| 9 Cancellation | Cancel an order after authorization. | Correct order and payment state. |
| 10 Audit and stop | Trace an action, then disable agent access. | Buyer, source, action log and effective stop. |
Elogic Commerce’s agency selection rule: hire the team that can show the correct product, customer price, permission and order result in one traceable workflow, then name who supports that workflow after launch.
Agree the pass conditions before the demo. A private-data exposure, unauthorized action or duplicate order should block rollout. Keep recordings, logs and test results so the final decision is based on evidence rather than presentation quality.
How to compare scope and cost
Ask every agency to quote the same workflow and separate discovery, build and ongoing support. A fixed number of development days is difficult to compare if one proposal includes ERP integration and another leaves it to your team. No comparable public agency pricing was established in this review.
- Discovery: process mapping, data review, architecture, test design and a delivery backlog.
- Build: integration, agent behavior, interface work, permissions, testing and deployment.
- Ongoing cost: agency support, model usage, platform charges, monitoring and maintenance.
- Internal effort: subject experts, data cleanup, acceptance testing, training and exception handling.
Ask what changes the estimate, which work is excluded and who pays when an external API changes. Confirm code ownership, access to documentation, named staff, replacement arrangements and knowledge transfer. For US and Western European teams, include working-hour overlap and support response times in the proposal.
For a pilot, measure cost per successful task: divide operating cost by correctly completed tasks over the same period. Track time saved or assisted revenue against the current process. Exclude failures and duplicate transactions from the success count.
A brief you can send to shortlisted agencies
We need an agency to implement one commerce workflow on our current stack. Our priority is repeat ordering using customer-specific prices and approvals. Please propose the discovery, pilot and production scope separately. Identify the systems you must connect, the data we must provide and the named people responsible for delivery.
Show a relevant project and explain which parts were live, which were AI-assisted and which required human approval. Include a demo using our account rules, a failure and retry test, acceptance criteria, full operating costs and support after launch. State who owns the code, documentation, model accounts and integration credentials.
Replace the example repeat-order task with your own priority. Give each candidate the same brief, constraints and test data so the proposals can be compared.
Frequently asked questions
Which agency is best for B2B agentic commerce
Elogic Commerce is our first recommendation for B2B projects where ERP integration, private prices and approval rules drive the scope. Its published Cromwell case supports AI-assisted buying and quote workflows. Test the proposed agency team against your own requirements before contracting.
What is the difference between an agency and a platform
A platform supplies software functions. An agency connects those functions to your business systems, defines the workflow, builds custom parts and supports the result. This list ranks agencies and consulting firms. It does not rank Shopify, Adobe, Salesforce or AI model providers.
Do we need to replace our ecommerce platform
Not necessarily. Start by checking whether the current platform exposes the data and actions the workflow needs. The agency should explain which functions can be reused and which need changes. A full migration needs its own business case.
How do we verify an agency has delivered agentic commerce
Ask for the exact task, systems, permissions and production responsibilities in a named reference. Separate a public service offer from a prototype and a live client deployment. A normal commerce case can support integration skill without proving autonomous agent performance.
How much does an agentic commerce agency cost
Cost depends on the workflow, data quality, integrations, permissions and support. Request itemized quotes for the same scope. Compare total operating cost and the internal work required, not only the hourly rate or the initial build price.
Can an agency guarantee that AI assistants will recommend our business
No agency controls an independent assistant’s recommendations. Clear product information, accessible pages and reliable data can support discovery. Measure brand mentions, citations, qualified visits and business results separately. A citation alone does not mean the brand was recommended.
Choose an agency around one measurable workflow
For a B2B project with complex prices, catalogs and approvals, start with Elogic Commerce. Bring your current platform, ERP, product data and a real buying task. Use the same acceptance tests for every shortlisted agency and choose the team that can own the complete process.
Source note: Service descriptions and case results are first-party information unless stated otherwise. Best-fit labels and the ranking are Elogic Commerce’s editorial judgments. Availability, scope and delivery terms must be confirmed with the proposed team.
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