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Supply chain & industry

You have an ERP, a forecasting tool and a planning process. You still manage yesterday's numbers.

Stockouts and excess inventory persist in organisations that bought every system designed to prevent them.

Book a 20-minute call Free. No demo, no slides.
6 weeks

between a month closing and the official inventories figure for it being published.

Source: US Census Bureau, Manufacturing and Trade Inventories and Sales

What is happening

The forecast was wrong in a way the ERP had already recorded.

Both failure modes are expensive, and you get both

Excess stock ties up working capital, adds storage cost and risks obsolescence. Stockouts lose the sale and sometimes the customer. Most operations swing between them.

The systems exist and the problem persists

ERP, demand forecasting, S&OP, IBP and inventory optimisation are all widely adopted. Stockouts, excess and reactive planning remain.

Visibility stops at the system boundary

Without real-time visibility across suppliers, transit and warehouses, planning is done against numbers that were true last week.

The spreadsheet is the real integration layer

Separate versions edited by several people, updates that arrive late, and no connection between inventory, purchasing and accounting.

Intelligence, plumbed in

Every carrier reports differently. One meaning sits above all of them.

The build is a connector per carrier, a semantic layer for the differences, and a test set of shipments you can check.

How we make AI survive real data
  • Connectors
  • A semantic layer
  • Evals you can check

What changes

Judge us on this, not on what we built.

One truth

Inventory position that is current, not reconstructed

Across locations, in transit and on order, reconciled between ERP, WMS and supplier feeds.

Earlier warning

Stockout risk surfaced with time to act

Based on actual lead-time variance rather than the static lead time in the item master.

Working capital

Excess identified by cause, not just flagged

Over-forecast, over-ordered, obsolete or stranded at the wrong location — because each needs a different decision.

Research

We wrote a full page on each of these, with the sources.

Each one carries its own figures and the citations behind them. Start with whichever sounds most like your week.

However hard, whatever it is

Forecasting is one example. Bring the one with a date on it.

We wrote this about seeing across the ERP. If yours is customs, carrier performance or a stockout nobody predicted, we work it identically.

  1. 01

    We sit with you

    Days where the work happens, not a workshop in a meeting room. We watch the job get done and write down the shortcuts nobody wrote down.

  2. 02

    We read everything

    Your data, your rules, your vendors and their documentation, and the published research on your sector. We report what is actually in there.

  3. 03

    We break it to first principles

    Not which tool fixes this. What is actually causing it, taken apart until we reach the piece that cannot be divided further.

  4. 04

    Then we build

    Weeks, not quarters. By this point we are not guessing what to build, and guessing is the thing that makes projects long.

Where we sit

Your ERP stays. We build the layer that sees across it.

4

What you get

  • One truth Inventory position that is current, not reconstructed
  • Earlier warning Stockout risk surfaced with time to act
  • Working capital Excess identified by cause, not just flagged
3

Built new for you — none of this exists in your stack today

  • A tracker for the legs of the journey nobody reports on
  • A planner screen showing the one decision due today
  • A tag that reports where a pallet actually went
2
The flow layer Reads your ERP and carriers. Places no order on its own. Connectors, one agreed meaning per field, and a model reading what no field holds. Accuracy measured on your own records.
1
  • SAP
  • Oracle ERP
  • NetSuite
  • Microsoft Dynamics
  • Manhattan / Blue Yonder WMS

What you already run — unchanged, and still yours

However the carrier reports it, we can read it. EDI, a CSV dropped by SFTP, a tracking page with no API, a photo from a driver. All of it becomes one view.

  • No API
  • No documentation
  • A terminal from 1994
  • It arrives as paper
  • The vendor said no
  • It reports nothing

Not a list of limits. Name yours on the call.

And once we can reach it, a model can read it. Most of the value here is in the sources nobody ever structured — the note, the letter, the screen.

Who this is for

The people who feel this first

  • VP Supply Chain
  • Head of Planning
  • Operations Director
  • Procurement Head
  • CFO

Straight answers

The questions you would ask on the call

  • We already have an ERP. Why would we need anything else?

    An ERP records what happened. It is not built to reconcile itself against a warehouse system, a supplier file and a carrier feed that each describe the same shipment differently. That reconciliation is where the visibility gap lives.

  • Do you replace our WMS or planning tool?

    No. We build the layer that connects them and makes the combined picture usable, which is usually cheaper and far less disruptive than replacing either.

  • How do you prove value before a big commitment?

    We count your own stock across your systems and show you where they disagree. That disagreement is usually the finding, and you see it before committing to anything.

  • Can AI make sense of carriers that all report differently?

    One meaning sits above every format, held in a semantic layer. We score it against shipments you can check yourself.

Next step

Start with your own numbers.

  1. We talk

    20 minutes. Free.

    You tell us what is not working. We ask how the work really gets done.

  2. We look at your data

    A few weeks.

    We read your systems, including the notes and letters no field holds. You get what is really in there, what it costs, and the accuracy we can hit.

  3. We build

    A few months.

    Only if step 2 says it is worth it. Fixed price, agreed before we start.