Windows desktop · fully offline · one installer
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.
Shares Editor Two levels of the hierarchy, edited together
What's inside
Everything ships in a single Windows installer: the forecasting stack, the BI layer, the grids. Nothing to configure, nothing to host.
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.
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.
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.
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.
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.
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
Each step hands the next one a reviewed number. Nothing leaves the app until you've signed off on it.
Load your sales history workbook
See and shape the history you forecast on
Configure models, run, compare
Review and adjust the topline
Edit the mix down the hierarchy
Store splits, transfers and buy plan
Inside the app
Forecast accuracy scored the way you actually buy, a free-form pivot that ships in the box, and a purchase plan that colours every cell needing a decision.
Every candidate is scored, not just the winner, on weeks no model in the blend had seen.
Each origin cuts history, refits every candidate, holds a freeze window the length of your supplier lead time - the stretch you could not react inside anyway - and only then starts scoring. Every model is drawn against the actuals, so a model that only looks good on average has nowhere to hide; where one could not score a window its line breaks rather than bridging the gap.
| Category | FY27 Base | FY27 Upside | Total | ||
|---|---|---|---|---|---|
| Revenue | Units | Revenue | Units | ||
| Accessories | $806,017 | 8,684 | $865,304 | 9,329 | 1,689,334 |
| Bottoms | $2,845,133 | 19,691 | $2,903,527 | 20,096 | 5,788,447 |
| Knitwear | $2,784,343 | 22,398 | $3,316,506 | 26,661 | 6,149,908 |
| Outerwear | $5,677,491 | 17,168 | $7,164,354 | 21,665 | 12,880,678 |
| Tops | $1,234,701 | 14,688 | $1,286,825 | 15,320 | 2,551,534 |
Put Scenario in Columns and two saved plans sit side by side, recomputed server-side from the tidy fact table. Here the upside plan puts its growth in knitwear and outerwear and leaves the rest alone - 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.
| Style | Vendor | On hand | Cover | Suggested buy | Wk 44 | Wk 45 | Wk 46 | Wk 47 |
|---|---|---|---|---|---|---|---|---|
| SS-2210 Merino Crew | Aravind Knits | 1,240 | 3.1 wk | 6,000 | 1,500 | 1,500 | 1,500 | 1,500 |
| FW-0338 Field Jacket | Porto Outerwear | 410 | 1.4 wk | 4,200 | 1,050 | 1,050 | 1,050 | 1,050 |
| SS-1042 Poplin Shirt | Aravind Knits | 5,880 | 9.6 wk | 0 | - | - | - | - |
| AC-7715 Leather Belt | Cordoba Leather | 930 | 2.7 wk | 1,800 | 450 | 450 | 450 | 450 |
| SS-1180 Linen Trouser | Setúbal Mills | 2,410 | 7.2 wk | 900 | 225 | 225 | 225 | 225 |
The last mile most tools leave to a spreadsheet. Approved forecasts become buy quantities per vendor and week, and every cell that needs a human says so in colour - red for a projected stockout, amber where vendor capacity or open-to-buy is spent, teal where an inbound transfer already covers the gap.
Pricing
No subscription and no renewal. One base licence, then a small add-on for each extra planner. Checkout is handled by Stripe and your download link is issued the moment payment clears.
PlanCore License
$2,900one-time
for 1 seat
$2,900 one time, first seat included · +$600 per extra seat · 10+ seats priced with you directly
Have a promo code? Enter it at checkout.
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
No ticket queues. Email lands directly with me, and every license includes a hands-on setup session.
FAQ
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.
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.
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.
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.
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.
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.
One installer. Every model. Your data stays yours.