Supply chain planning

See the shortage before it stops the line.

plnnd reads your own orders, stock and lead times, then shows what is coming: a forecast per material, the week stock runs short, and which materials need you first. Built on your data, so the plan fits your business, not an industry average.

14 days on a sample dataset for your industry. No payment details. It ends on its own.

MAT-10482 · Hydraulic seal kitstock, units

Stockout riskGlobal LightGBM ML: drops below safety stock in W41. Reorder this week.

What plnnd does

Your history in, a plan you can act on out.

Forecasts from your own data

Demand per material and site, learned from your order history. Each forecast shows a range, so you can see how sure it is.

MAT-10482 · W40412 units
80% range356 – 470

Switch forecasts, compare the outcome

Six forecast models, from a simple baseline to machine learning. Pick one per material and see straight away how stock and risk change. Keep the one that fits.

Baseline (90-day mean)
Moving Average (12w)
Croston TSB
Holt-Winters Seasonal
AutoETS (Multiplicative)
Global LightGBM ML

Stockouts and criticality

plnnd flags the week each material drops below safety stock and ranks everything by what it would cost you, using your lead times and bill of materials.

MAT-10482Critical
MAT-20931Warning
MAT-30117Healthy
AI integration

Connect your own AI model. Ask it why.

Link the model you already use with your own API key. plnnd only sends it encrypted data. In return you get plain-language answers about your plan: what drives a forecast, why a material is critical, and which forecast model suits it best.

API key ····7f3aConnectedEncrypted data only
Why is MAT-10482 critical?
Under Global LightGBM ML, stock drops below safety stock in W41. The lead time is 6 weeks, so an order placed after W35 arrives too late. Two production orders on Line 2 depend on it.
Which forecast model fits MAT-20931?
Croston TSB. Demand is intermittent: 31 of the last 52 weeks had no orders, which averages-based models handle poorly.
Why teams switch

Less firefighting. More say over what happens next.

No more surprises on the shop floor

Shortages show up weeks ahead, while there is still time to reorder, expedite or reschedule.

Monday starts with a short list

Stop rebuilding the spreadsheet every week. Open plnnd and see the few materials that need you, in order.

Numbers that hold up in the meeting

Every forecast comes from your own history and shows its range. When someone asks why, the answer is right there.

Stock where it earns its keep

Buy for what you will actually use. Less cash sitting on shelves, fewer rush orders at premium prices.

14-day free trial

Fourteen days on a real-world dataset. Then it simply ends.

No payment details, no data to upload, nothing to cancel.

  1. 1

    Pick your industry

    Start with the sample dataset that looks most like your business.

    Discrete manufacturingLinea Apparel B.V. · multi-echelon fashion and industrialSpare parts and MRO
  2. 2

    Explore the plan

    Run forecasts, switch models, test a supplier delay and see the criticality ranking move.

  3. 3

    Day 14: the trial ends

    Your access stops on its own. Want plnnd on your own orders, stock and lead times? We onboard you, and from then on every number is yours.

Questions first?

Talk to the people who built it.

Ask about your data, your systems or how onboarding works.