FUSIONPOS + ADAM

A point-of-sale system that thinks along.

FusionPOS is our own wholesale platform: tills, back office, warehouse scanners and API. With ADAM inside: an AI layer running on local models. We use it ourselves, every day.

FUSIONPOS / ADAM
OUR OWN SOFTWARE

This becomes part of the working day.

At the till, in the back office and in the next purchasing decision. Shared records, with AI that helps inside the workflow.

FUSIONPOS / WINDOWS POS
The real FusionPOS till interface with product tiles and basket.
A working till. A shared foundation.Product screenshot from VFusion Retail · example data
The VFusion Retail dashboard showing sales and inventory.
ONE SHARED VIEW

The software remains the source of truth.

ADAM helps with analysis and proposals. Permissions, financial checks and approval stay with the application and its authorised user.

ADAM Intelligence ↗
THE NEXT STEP

Observe. Propose. Move forward together.

A purchasing proposal connects stock, product records and prices. The user reviews and decides before a sensitive action is executed.

Explore FusionPOS + ADAM ↗
Product screenshot of an ADAM purchasing proposal with stock and margins.
Actual product screenshot · example data · click to enlarge
VF / 03REFERENCE ARCHITECTURE
YOUR ENVIRONMENT01Till · Back office · ScannerNATIVE / WEB / API02One internal interfaceMODEL-INDEPENDENT03ADAM · Local modelsLANGUAGE / VISION / PARSING04Own GPU infrastructureLOCAL PROCESSINGON-PREMISES / EUROPEAN-HOSTED / AIR-GAPPED
One controlled chain. One clear boundary.
  1. Till · Back office · Scanner: NATIVE / WEB / API
  2. One internal interface: MODEL-INDEPENDENT
  3. ADAM · Local models: LANGUAGE / VISION / PARSING
  4. Own GPU infrastructure: LOCAL PROCESSING

INSIDE THE BOUNDARY

Every layer has a purpose.

Core software remains usable when AI is unavailable. ADAM uses local language, vision and document models. Market research reads public web pages.

ADAM runs on our own hardware.

Local language models, local vision models and local document processing. No calls to an external AI service. Market research does read public web pages: internet access is different from an external AI provider.

Structure first. Language model second.

Supplier invoices and return documents go through document parsing on our own GPU server. Structured extraction is the foundation; the language model helps with interpretation.

A different model. The same features.

Every AI feature uses one internal interface. That separation let us move ADAM from external providers to our own models without rewriting the features.

Native where speed matters.

A Windows till with a local database. A web back office and REST API. A native Android scanner app for rugged handhelds. The iOS back-office app is in preparation.

WHAT YOU GET

01

Keeps selling without a network

The till works locally and syncs when the connection returns.

02

ADAM watches your market

Prices, availability and developments for your range, in the back office.

03

ADAM knows your customers

Business-customer information brought together in a usable profile.

04

ADAM reads your invoices

Document intake and line processing on our own GPU infrastructure.

05

Ask Adam

An assistant that answers questions about your business data.

06

AI supports the sale

Cache-first and fail-open: AI unavailability must not block the till workflow.

THE NEXT STEP

What needs to work for you?

Start with the documents, the process or the technical question. We will help define a useful first step.

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