M2B Commerce.BY METROTECHS
M2B Commerce AI for B2B Ecommerce

AI services for B2B ecommerce.

We build AI-assisted RFQ intake, product matching, ordering, account support, and catalog workflows connected to your ecommerce and ERP systems.

What we deliver

Help business buyers find products and place orders

Give buyers a faster path from a parts list to a reviewed order, and give your team less information to rekey. M2B Commerce develops AI features for manufacturers selling to dealers, distributors, and wholesale accounts. We start with one defined workflow, connect the records it needs, and build it into the portal or internal workspace where the work happens.

01

RFQ and purchase-order intake

Turn emailed requests, PDFs, and spreadsheets into structured draft quotes or orders. We build extraction for line items, quantities, units, customer references, and requested dates, then match records against your catalog. Staff see the original request beside the draft, with missing fields and ambiguous matches flagged before submission.

02

Product and replacement-part discovery

Help buyers find products using application descriptions, technical requirements, or customer part numbers. We connect search to approved catalog data and technical documents, surface supporting specifications, and build clarification steps for uncertain matches. Compatibility and substitution rules are checked before a suggested alternative enters a quote.

03

Assisted carts and repeat ordering

Let an authorized buyer upload a list or describe a repeat purchase to prepare a draft cart. We connect account order history and catalog access, then validate quantities, pack sizes, minimums, and current pricing through the ecommerce system. The buyer reviews the proposed items and completes the established approval and checkout flow.

04

Account-aware order and product support

Build an assistant inside your customer or dealer portal that retrieves permitted order status, shipment details, product documents, and account information. We implement authenticated lookups and a handoff to customer service when information is missing or a request needs action. Answers use connected records and show their source or update time where useful.

05

Catalog enrichment and technical content

Prepare draft product attributes, category assignments, comparison copy, and buyer-facing descriptions from approved supplier files and technical documents. We build review queues and missing-data checks so catalog teams approve changes before publication. Unsupported specifications remain unresolved rather than being filled in as facts.

Is this the right project for you?

  • Your team rekeys emailed RFQs, purchase orders, or spreadsheet line items
  • Buyers need help navigating technical catalogs and customer part numbers
  • Repeat purchases still require manual cart building or sales assistance
  • Customer service repeatedly looks up order status and product documentation
  • Catalog teams spend time turning supplier documents into usable product data

Start with a project conversation.

Tell us what needs to work differently, which systems you use, and who will use the result. You do not need a finished specification to discuss a build or integration project.

If the requirements are clear, we can discuss an implementation scope. If they are not, an assessment defines the workflow, architecture, dependencies, and first release before development is quoted. Discovery can be a separate engagement; it is not a commitment to a full rebuild.

Pricing and timing depend on the agreed scope, data readiness, integrations, and your team’s availability. We establish those details with you rather than attach a generic package to every project.

How we deliver

From agreed scope to a working release.

  1. 01

    Scope the work

    We review your current workflow and systems with your team, then define the first release, responsibilities, dependencies, and acceptance criteria. Scope, costs, and timing are agreed before implementation begins.

  2. 02

    Design and build

    We turn the agreed requirements into screens, platform configuration, custom functionality, and integrations. Your team reviews the work against real buyer and operational scenarios as it takes shape.

  3. 03

    Test the complete flow

    We test the agreed workflow from buyer action through the connected systems, including permissions, incorrect data, failed handoffs, and the exceptions that need a person to step in.

  4. 04

    Launch and hand over

    We coordinate the agreed rollout, verify the released workflow, and document how it operates. Training, ongoing maintenance, and post-launch support are defined in the project scope rather than assumed.

Behind the implementation

The details we work through with your team.

The service starts with your business rules, not a generic feature list. These are the operating decisions that shape the specification, configuration, and testing for your project.

Start with a measurable buying problem

Choose a repeated task with clear inputs and an observable result: an RFQ waiting for rekeying, a buyer unable to find a part, or a support team checking shipment status. We establish the current process and agree measures such as draft correction rates, successful product matches, handling time, and escalations. A limited pilot gives your team evidence before a wider rollout.

Connect the systems your team already uses

The project may connect your ecommerce platform, ERP, PIM, CRM, document library, or order management system. We inspect available APIs, permissions, data quality, and licensing before selecting the integration approach. The interface can live in an existing storefront, dealer portal, or internal sales workspace; a full platform replacement is not a prerequisite.

Keep commercial rules authoritative

Account access, contract pricing, available inventory, credit limits, and order acceptance stay with the systems and business rules that own them. AI helps interpret a request or prepare a suggestion. We build validation and review into the transaction path, including clear handling for unavailable records, uncertain product matches, and attempts to access another account’s information.

Test with the requests your buyers actually send

We evaluate representative documents, shorthand product descriptions, unusual units, duplicate requests, and incomplete account details. Your team reviews the results against agreed acceptance criteria. Launch includes a staged release, a fallback to the existing workflow, and defined responsibility for monitoring quality, model usage, source-data changes, and ongoing improvements.

Discovery checklist for your project

Define the first workflow

Bring sample requests and a description of how your team handles them today. We use those examples to scope the first release.

  • Who uses the feature, and what should they be able to complete?
  • Which system owns the products, prices, accounts, and transaction records?
  • What needs human review before it changes a quote, catalog, or order?
  • What result would make the pilot worth extending?

Common questions

Practical questions before the build starts.

Can you add AI to our existing ecommerce platform?

We assess your existing platform, extensions, APIs, and authentication model first. The implementation may be a storefront feature, portal extension, or connected internal application. Scope and feasibility depend on the access and data your systems provide; we document those dependencies before development.

Will AI set prices or place orders on its own?

Our assisted workflows use your ecommerce, ERP, or quoting system for commercial rules and current values. Draft quotes and carts pass through the agreed staff or buyer review. Any additional transaction permissions require an explicitly designed and tested approval process.

What data do we need to get started?

A useful starting point is representative RFQs or purchase orders, an approved product catalog, and the account or order records required for the selected workflow. We identify gaps before building. If the source data cannot support a reliable answer, the workflow asks for clarification or routes the request to your team.

How do you handle customer information and operating costs?

We scope account isolation, authorized data access, retention, and model-provider data handling with the project. We also estimate usage for the chosen workflow and implement agreed monitoring and limits. Model subscriptions, platform licenses, integration work, and ongoing support are identified as separate cost drivers.

Let’s put AI to work in your B2B buying workflow.

Share your current systems, the workflow you want to improve, and what you need delivered. We’ll follow up to discuss project fit, requirements, and the next step toward a scoped engagement.