Roadmap & vision

Where this is going

Published openly, including the parts that are behind. Filter by status to see what exists today versus what is still an intention. The pilot is what moves items from one column to the next. Here is how that works.

"Shipped" means built and running, not yet field-proven. Forecasting, expiry scoring and anomaly detection all exist and produce output today; whether that output is accurate enough to rely on is what the pilot is measuring. We would rather separate those two claims than blur them.
Phase 1 · Foundations Shipped

Core inventory & dashboard

Item catalogue, batch tracking, expiry dates, reorder levels, stock movement history and the live dashboard. The part everything else rests on.

Phase 1 · Foundations Shipped

Roles, permissions and audit trail

Four permission levels with per-screen guards, session handling, and an append-only log of every adjustment and export.

Phase 2 · Getting data in Shipped

Import engine & upload history

CSV and Excel import with column mapping, row-level error reporting, and versioned upload history so any import can be undone.

Phase 2 · Getting data in Shipped

Finance module & accounting export

Spend, revenue and margin reporting by period and category, plus an export bundle including a Sage-compatible connector.

Phase 3 · Intelligence Shipped

Forecasting, expiry risk and anomaly detection

Demand forecasting per item, batch-level expiry scoring, refill suggestions and anomaly flags, each with its confidence and inputs on show.

Phase 4 · Pilot Building now

Repeatable ingestion from a live site

Taking a working healthcare facility's inventory, purchase, supplier, batch, expiry, consumption, receipt, adjustment, cost and lead-time records in the format they already exist, and making that import a routine rather than a one-off. Build 01.

Phase 4 · Pilot Building now

Baseline measurement and the pilot scorecard

Physical counts against system records, plus stock-outs, expiry, overstock, inventory value, emergency orders, lead times and discrepancies, all captured before anything is optimised so improvement can be evidenced later. Build 02.

Phase 4 · Pilot Building now

Forecast accuracy tracking

Every prediction stored with its due date and settled against the real count, producing a measured accuracy figure across a named number of medicines over a named number of days. Build 03.

Phase 5 · Multi-facility Planned

Cross-facility redistribution matching

Projected excess at one site matched against projected shortfall at another, with the transfer proposed while both batches are still usable. Build 04.

Later Exploring

Reading from national and third-party logistics systems

The same layer-on-top approach applied to an existing central system rather than a spreadsheet. Proving it at facility scale first is what would make that credible.

Now · Early access Building now

Packaged installer & first-run experience

A single Windows installer that sets up the app and its database together, followed by a setup wizard and optional guided tour. The goal is install-to-useful without a phone call.

Now · Early access Building now

Natural-language queries over your own data

Ask a question in plain English and get a number with the records behind it. Working today for common questions; being widened to the long tail.

Now · Early access Building now

Multi-site sync and facility comparison

Optional synchronisation between branches with a head-office roll-up, while each site keeps working if the link drops.

Next Planned

Mobile stock counting

A phone-based counting mode with barcode scanning, so the count happens at the shelf instead of on a clipboard and then again at a keyboard.

Next Planned

Supplier catalogues and order sending

Turn a refill suggestion into an actual purchase order and send it, with delivery reconciliation on the way back in.

Next Planned

Scheduled reports by email

The weekly summary and month-end pack delivered automatically to the people who need them, in the format they already use.

Exploring Exploring

Dispensing-system integrations

Direct links to common practice-management and dispensing systems so movement is captured without a manual step. Dependent on what partners will open up.

Exploring Exploring

Regional shortage signals

With explicit consent and aggregation, an early-warning picture of supply problems across participating practices. Only if it can be done without exposing any individual site's data.

Exploring Exploring

Linux and macOS builds

The stack is portable; the packaging is not yet. Priority depends on how many early-access practices actually need it.

How we decide what moves up. Early-access practices tell us what broke in their week. Anything that appears three times, from three different sites, jumps the queue, regardless of how interesting it is to build.
The longer view

Foresight should not be a luxury good

Large hospital groups have had demand planning for decades. They have it because they can afford the analysts, not because their problem is harder. A twelve-item facility in a small town faces the same question: what will we need, and when? It simply has none of the support.

That gap is the whole reason Regnum exists. If a piece of software that runs on a five-year-old desktop can close most of it, then the only remaining barrier is whether somebody bothers to build it well.

We intend to.

A rural health facility exterior at dawn
Photo: a small facility in context A modest facility building, or a health worker arriving for the day. Portrait crop. This is the emotional anchor of the page, so pick something real rather than glossy. vision.jpg · 1050×1400

Something missing from this list?

Early-access practices have a direct line to what gets built next. Tell us what your week keeps tripping over.