Platform overview

The retail operating layer between daily execution and digital growth.

IMV connects POS, inventory, orders, accounting, ecommerce, content, search commerce, and AI-ready catalog APIs so retail teams can run from one governed source of truth.

Built for multi-store and multi-entity retailers that need operational discipline without another brittle app stack.

IMV Operating Core

Products, inventory, orders, customers, stores, entities, and finance

A governed model every surface can read from.

Store execution
POS, returns, staff workflows
Operational control
Inventory, orders, fulfillment
Financial close
Accounting, entity rollups, tax
Growth surfaces
Ecommerce, content, search, agents
Operating model

Three layers, one accountable system.

IMV keeps the operational record traceable from transaction to decision to customer-facing experience.

1. Transaction and inventory core

Sales, returns, stock movement, orders, customers, stores, entities, and ledgers are captured as operational records.

2. Governance and decision layer

Permissions, reconciliation, reporting, exception handling, and workflow controls keep every team operating from the same facts.

3. Publishing and intelligence layer

Storefronts, pages, blogs, knowledge content, search, recommendations, and LLM APIs use the same governed product and availability data.

Architecture idea

One product graph, many business surfaces.

A product can have inventory, orders, content, policy, finance impact, search behavior, and AI answers attached to the same record.

Input

Transactions and catalog facts

POS, stock, orders, suppliers, entities, content.

Core

Governed retail model

Rules, roles, workflow, data quality, reconciliation.

Output

Store, web, search, AI, finance

Teams and channels consume the same truth.

Built for retail complexity

Multi-store and multi-entity are not afterthoughts.

The platform supports local execution and central control across stores, warehouses, regions, legal entities, channels, taxes, roles, and reporting views.

Location-aware operations

Stock, staff, orders, counts, transfers, and pickup promises stay tied to the right place.

Entity-aware finance

Sales, tax, COGS, settlements, and close workflows can roll up without manual patchwork.

Governance that fits operations

Permissions and workflows follow the way retail teams actually work, not a generic office-app model.

Inventory breaks, order delays, settlement mismatches, and catalog gaps surface where teams can resolve them.

Leadership can roll up performance by store, entity, channel, product group, or operational workflow.

Commerce content layer

Pages, posts, knowledge, and campaigns can inherit retail truth.

IMV is not trying to be a generic website builder. It is built for retail publishing where product facts, availability, policies, promotions, and guidance need to stay aligned.

Campaign pages

Build landing pages around collections, promotions, locations, and inventory-aware offers.

Buying guides

Turn catalog data and merchandising expertise into searchable guidance.

Store enablement

Keep staff-facing product, policy, and support knowledge aligned with customer-facing content.

AI-readable answers

Package product and policy knowledge for search engines, site search, and agent experiences.

Implementation path

Adopt the platform by operational wedge, not by big-bang replacement.

aost retailers need a clean entry point that proves value and expands into the rest of the operating layer.

Phase 1

aap the operational truth

Products, locations, entities, order channels, inventory states, accounting needs, and content sources.

Phase 2

Connect the wedge

Start with POS, inventory, accounting close, ecommerce availability, or catalog API based on highest pain.

Phase 3

Standardize workflows

Resolve exceptions, permissions, approvals, reports, and handoffs around the new source of truth.

Phase 4

Publish and optimize

Extend into pages, search, recommendations, AI answers, and leadership dashboards.

Platform walkthrough

See where IMV should enter your current retail stack.

We can review stores, entities, channels, catalog structure, accounting close, and AI/search goals to identify the safest first wedge.