04Inventory IntelligenceCompleted

Robin

Smarter inventory decisions. On your own infrastructure.

Robin reads the sales, stock and purchasing data a business already has, classifies how every item actually moves, and tells you what deserves a place in the next order. It runs locally — the data stays with the business.

Talk to NEXA About Robin

Your business data stays with your business.

Robin runs locally, on infrastructure the business already controls. For operations that would rather not upload sales, stock and purchasing history to an outside service, that is the starting point rather than an add-on.

Robin

Inventory Intelligence

Dashboard

Inventory

Purchase Suggestions

Sales Analysis

Stock Movement

Reports

Settings

Dashboard

What to know about your inventory right now

Running locally

Data stays on your systems

Fast

412

Medium

286

Slow

173

Low

Dead

Sales & stock trend

SalesStock

Stock classification

Fast 33%Medium 23%Slow 20%Low 15%Dead 9%

Purchase recommendations

Product	Stock	Movement	Order	Priority
Item A-104	12	Fast	100	High
Item B-220	5	Fast	80	High
Item C-051	18	Medium	60	Medium
Item D-318	25	Medium	40	Medium
Item E-007	8	Slow	15	Low

94 items flagged as dead stock — capital sitting on shelves.

Robin — concept interface showing what the system produces, with demo data. Not a production screenshot.

The inventory problem

Most businesses already hold the data needed to order well — sales history, current stock, past purchases. The problem is that nothing reads it. Orders end up based on what feels low, what someone remembers running out of, or what a supplier happens to be pushing.

What Robin does about it

Robin reads that existing data and answers two questions: what should we buy in the next order, and how is each item actually moving? It classifies every item by real movement and turns that into a purchase recommendation you can act on.

Stock movement

Every item, classified by how it actually moves

The same five classifications are used consistently across the system, so a recommendation always traces back to a category you can question.

Fast-moving

Selling steadily. Running out here costs you sales.

Medium-moving

Normal turnover. Worth keeping stocked at a sensible level.

Slow-moving

Moving, but slowly. Usually over-ordered relative to demand.

Low-moving

Barely shifting. A candidate for ordering less, or not at all.

Dead stock

Not moving. Capital sitting on a shelf doing nothing.

“What should I buy next?”

Robin produces a recommendation per item: what it is, what’s on hand, how it’s moving, a suggested order quantity and how urgent it is. That is the output the next purchase order is built from — a list to review and adjust, not a black box.

Trends over time sit behind it, so a recommendation reflects the direction an item is heading rather than only last week.

Dead stock, made visible

The items that aren’t moving rarely announce themselves — they just quietly occupy space and capital. Robin surfaces them explicitly, along with the slow and low-moving stock heading the same way, so the next order can stop making the problem bigger.

How it runs

Local by design

Robin works from the business's own sales, stock and purchasing data, running on the business's own systems rather than requiring that data be sent to an outside service.

Exactly how it’s deployed depends on how a business already keeps its data, which is part of what we work out together rather than something to assume up front.