Planning methods proven by real planners. Forecasting, disaggregation,
purchasing, scenario comparison - and every step can be run through an AI agent to automate
your workflow. No lengthy integration project. Nothing leaves your desktop.
Data stays local Forecast models built in CLI + agent ready
ScenariosEvery saved plan, priced and side by side
0forecasting model families
100%offline after install
0bytes of telemetry, ever
1installer, upgrades in place
What's inside
The whole planning workflow, one app
Everything ships in a single Windows installer: the forecasting stack, the
BI layer, the grids. Nothing to configure, nothing to host.
Forecasts you can trust
Classical statistics, gradient boosting and the Chronos-2 foundation model,
blended into one ensemble and scored only on weeks the models never saw, with
your real supplier lead time built into the test. Forecast at whatever level
your data supports, and sale spikes are modelled as themselves instead of
being smeared across the month.
Disaggregation that holds up
Push an approved forecast down through channel, category, style, size and
store. Pin a share, type over a cell, and everything else re-bases around it
automatically. Advanced logic, ordinary controls.
Purchasing that knows your constraints
Lead times, MOQs and target weeks of supply are real inputs, not spreadsheet
math bolted on afterwards. It is warehouse-aware, so it suggests moving stock
you already own before it suggests buying more.
From plan to financial impact
Set revenue targets in dollars and the plan solves back to them. Plan future
discounts and read margin rather than units alone, so the buy becomes a
financial decision instead of a units exercise.
Built by planners, not consultants
Starts from the Excel workbook you already have, and exports back to it. No
integration project, no APIs to wire up. Every input stays visible and
auditable, and smoothing your history is something you watch happen rather
than a setting you have to trust.
Automate it, then report on it
A first-party CLI and a local HTTP API drive the entire workflow headlessly,
so an AI agent can run your weekly cycle end to end. The built-in BI pivot
compares scenarios side by side, tracks forecast accuracy over time, and
exports straight to Excel.
How it works
Six steps from history to purchase orders
Each step hands the next one a reviewed number. Nothing leaves the
app until you've signed off on it.
Step 01
Data input
Load your sales history workbook
Step 02
Smoothing
See and shape the history you forecast on
Step 03
Run forecast
Configure models, run, compare
Step 04
Forecast results
Review and adjust the topline
Step 05
Disaggregate
Edit the mix down the hierarchy
Step 06
Purchase
Store splits, transfers and buy plan
Inside the app
Four screens most forecasting tools don't have
Forecast accuracy scored the way you actually buy, a free-form pivot
that ships in the box, a share split that keeps every sale in its own column, and a purchase
plan that colours every cell needing a decision.
Every candidate is scored on weeks it never saw, and ranked where you
can read it. Each origin cuts history, refits every model, holds a
freeze window the length of your supplier lead time - the stretch you could not react
inside anyway - and only then starts scoring. You get error and bias, in percent and in
units a month, so a model that is accurate on average while running consistently high is
not mistaken for a good one. The same channel, two horizons: Chronos2 forecasts the next
quarter to 15.4% error against a seasonal naive's 20.8%, and across the year that naive is
last at 68.5% while Prophet leads. The blend reweights with it - half on Chronos2 near in,
none of it far out. No model is simply the best one, which is the argument for scoring
every node and every horizon rather than picking a favourite and living with it.
The same runs drawn against the actuals, seven years of them. Where a
model could not score a window its line breaks rather than bridging the gap. The dark
reference line is actual demand, promotions and all - the models are fitted on a
smoothed series, so a promotional week is a spike they were never shown, and the gap at one
is the honest size of it.
Drag Scenario into Rows and two saved plans sit one per line, recomputed
server-side from the tidy fact table. Here an upside plan carrying a +12% revenue goal is set against
its base, month by month - the kind of thing you want to see before you commit the buy. It runs
in-process on your own machine, and it exports straight to Excel.
A topline forecast is only useful once it is split the way you actually buy.
Every level of your hierarchy gets its own share of its parent, seeded from history and editable in
place. Sale periods are their own columns, not smeared across the month that contains them -
so Black Friday lifting one category from 49% to 52% while another gives share back is a number you
can see and change, not an assumption buried in a weekly average.
The last mile most tools leave to a spreadsheet. Approved forecasts become
buy quantities per vendor and week, walked forward period by period - opening stock, inbound, buys,
transfers and demand down to ending units. Every week that needs a human says so in colour:
amber where cover falls under target, red where the stock runs out and the buy could not close the
gap. A clean plan shows neither. Cover runs as a sawtooth around your target rather than sitting
on it - an order has to carry the weeks until the next one lands as well as the target itself,
so the week stock arrives reads high and draws down from there.
Pricing
Priced for a planning team.
One subscription, three seats
Three planners are included in the base price, so a team can start without
counting heads. Add more whenever you need them. Checkout is handled by
Stripe and your download link is issued the moment payment clears.
Base subscription
$4,800 a year - three planner seats included
Each extra planner
+$300 a year, or $25 a month - added at checkout
Prefer to start small?
$490 a month, cancel any time - annual works out cheaper
Ten seats and up
Priced with you directly - the seat picker will hand you over
Updates
Every release while you subscribe, installed in place
PlanCore License
seats
$4,800per year
3 seats included
$4,800 a year, three seats included · +$300 per extra seat · 10+ seats priced with you directly Have a promo code? Enter it at checkout.
Full Windows desktop app - every feature, no tiers
Multi-planner ready - edits are attributed by user
Every update while you subscribe, installed in place
Personal onboarding & setup call included
Direct email support from the developer
Secure checkout via Stripe · instant download link ·
questions first? Get in touch
Digitally code-signed and verified by Windows before it runs, published with a
SHA-256 checksum, and fully offline after download. Upgrades install in place and
never touch your data.
Support & setup
You'll be talking to the developer
No ticket queues. Email lands directly with me, and every license
includes a hands-on setup session.
Immediately after checkout you land on a page with your personal download
link for the latest PlanCore-Setup.exe, plus install
instructions. You'll also get a Stripe receipt by email, and I'll follow up
to schedule your setup call.
Is the installer safe? Windows warned me about downloads before.
The installer is digitally code-signed, so Windows can verify the
publisher before running it, and each release ships with a SHA-256
checksum you can verify yourself. It's a large download (~1 GB) because
the entire forecasting stack is bundled - nothing is fetched at runtime.
Does my data go to the cloud?
No. PlanCore is fully offline after installation. Forecasting runs on
your machine, your workbooks stay in your local app data folder, and the
app never phones home - there is no telemetry of any kind.
How do updates work?
When a new version ships you'll get an email with the same permanent
download link. Run the new installer and it upgrades in place - your
scenarios, workbooks, and settings are never touched.
What are the system requirements?
Windows 10/11, 64-bit. 8 GB RAM minimum (16 GB recommended for AI
forecasting on larger datasets). No graphics card required: the forecasting
stack ships CPU-only and runs on an ordinary work laptop.
If the machine does have a recent NVIDIA card, the installer offers to
enable GPU acceleration for forecasting - it's a tick box during setup, and
it downloads about 2.4 GB the one time. It's only offered for cards
new enough to actually be faster, and if the card turns out not to work
the installer puts the CPU version back on its own.
Can I try it before buying?
Get in touch - I'm happy to do a live demo on a screen share with your
kind of data, and walk through whether it fits your workflow before you
spend anything.
Ready to plan with confidence?
One installer. Every model. Your data stays yours.