B2B commerce

Conversational B2B commerce with policy enforcement built in.

IMV B2B Commerce helps business buyers find products, request quotes, reorder, negotiate, and buy through guided conversations while enforcing account catalogs, contract pricing, approvals, payment terms, credit rules, inventory promises, and audit trails.

Account-specific catalogs Approval workflows Governed AI buying
Policy-enforced conversation
Buyer: Need 80 replacement scanners for our Midwest stores, delivered this month.
IMV: Your contract catalog allows two approved scanner models. Model A has 64 available now; Model B needs quote approval because order quantity exceeds location policy.
Policy engine: Contract price applied, Net 45 terms valid, finance approval required above threshold, split fulfillment recommended.

The conversation can recommend, quote, reserve, or route only within approved account rules.

The B2B commerce problem

B2B buying is conversational, but the rules are not optional.

A business buyer may ask naturally, but the platform must still enforce company account structure, buyer roles, quote authority, contract pricing, credit limits, payment terms, tax rules, fulfillment constraints, and approval policies.

IMV approach

Treat every B2B conversation as a governed commerce workflow connected to account data, catalog rules, inventory, orders, finance, and audit history.

Account complexity

Companies can have locations, departments, buyers, approvers, admins, budgets, and tax profiles.

Pricing complexity

Contract catalogs, negotiated pricing, volume breaks, quote terms, and customer-specific lists must be honored.

Approval complexity

Orders, quotes, substitutions, credit use, and expedited fulfillment can require policy-driven approvals.

AI risk

Conversational agents must not invent prices, bypass approvals, expose restricted SKUs, or promise unavailable inventory.

B2B account model

Every buyer interaction starts with who the buyer represents.

IMV can model the company, location, buyer role, permissions, terms, catalogs, and tax context before showing products or recommending actions.

Company hierarchy

Parent accounts, locations, departments, purchasing groups, buyers, approvers, and admins.

Buyer permissions

Role-based visibility, spend limits, quote rights, order rights, substitutions, and approval rules.

Account terms

Payment terms, credit status, tax exemptions, shipping rules, purchase order requirements, and deposits.

Catalog entitlements

Approved SKUs, contract pricing, volume tiers, bundles, negotiated lists, and restricted items.

Conversational workflow

From natural request to governed transaction.

The buyer can speak naturally, but the platform translates the request into a policy-checked commerce workflow.

1

Understand request

Need, quantity, timeline, location, buyer identity, account, budget, and preferred fulfillment.

2

Apply policy

Catalog visibility, pricing, terms, approvals, credit, tax, substitution, and inventory rules.

3

Propose path

Recommend order, quote, reorder, split fulfillment, approval route, or human handoff.

4

Audit action

Record policy checks, approvals, price source, inventory promise, and buyer consent.

Policy enforcement matrix

Can this buyer see it?
Company catalog, role visibility, regional availability, restricted SKU status.
Can this buyer buy it?
Spend limit, approval threshold, contract eligibility, payment terms, credit status.
Can IMV promise it?
Inventory state, fulfillment capacity, delivery window, substitution policy, service constraint.
Full policy enforcement

Governance must happen before the AI speaks confidently.

Conversational commerce becomes trustworthy when every response is checked against account, catalog, pricing, inventory, fulfillment, finance, legal, and approval policies before it is shown to the buyer.

Review policy model
Quote-to-order

Some B2B purchases should become quotes before they become orders.

IMV can route high-value, negotiated, restricted, or inventory-sensitive requests into quote workflows while keeping the buyer conversation and policy checks attached.

Request

Buyer asks for quantity, delivery, substitutions, or negotiated terms.

Review

Seller validates price, margin, inventory, credit, and approvals.

Convert

Approved quote becomes order with full audit and fulfillment context.

Contract catalogs and pricing

The answer should reflect the buyer's actual commercial relationship.

A B2B buyer may have access to specific products, prices, minimums, volume tiers, substitutions, payment terms, and fulfillment rules. IMV can make those rules visible to commerce, search, and conversational agents.

Connect inventory truth
Shared catalogs

Expose only the products approved for the company, location, role, or market.

Contract pricing

Apply negotiated price books, volume tiers, exceptions, and quote-specific terms.

Payment terms

Net terms, deposits, credit status, PO requirements, and payment method rules.

Fulfillment rules

Availability, allocation, delivery windows, ship-to permissions, and split fulfillment.

Governance evidence

Policy trace
Which rules were evaluated and why the action was allowed or blocked.
Approval trail
Who approved quote, substitution, credit exception, or order threshold.
Conversation record
Buyer request, AI response, human handoff, accepted terms, and final action.
Audit and compliance

Every AI-assisted B2B action needs an explainable trail.

Governance should not disappear inside the conversation. IMV can preserve the evidence required for sales, finance, compliance, customer service, and account management.

See finance controls
B2B inside the operating core

B2B Commerce belongs inside the retail operating platform.

Conversational B2B becomes safer and more useful when it can check ecommerce, inventory, orders, accounting, search, and LLM catalog services before acting.

B2B policy review

Map what your conversational B2B buyer is allowed to see, say, quote, and buy.

We can review account hierarchy, catalogs, contract pricing, approval thresholds, payment terms, credit limits, fulfillment rules, AI guardrails, and audit requirements.