Products · #08 · Operations & Forecasting
TIER S BLUEPRINT

Demand Forecasting (LT calendar)

Forecasts with honest prediction intervals and scenario planning - cut inventory cost without stockouts.

from €1,990

SKU 4212 · PIENAS 2.5% 1L · STORE 4 - 14-DAY FORECAST

actual sales forecast (P50) P10-P90 interval
16012080400 MontodayFri+7d+14d PROMO P90 · 148 P50 · 112 P10 · 74

Order proposal

96 units

covers P90 through Friday at your 95% service target
drivers: trend +4% · Fri peak · promo widens the interval - honestly

🟡 PROPOSAL - your planner approves
backtest ▸ beats seasonal-naive by 18% (pinball) · coverage 94.7% vs 95% nominal · logged ⛓

How it works

01

Connect ERP / WMS, read-only

Sales at SKU-store-day level, promotions, stock, lead times. Hierarchical: SKU → category → store → total, reconciled so the numbers add up.

02

Forecast as a range, not a guess

P10/P50/P90 for the next 14 days, with the Lithuanian calendar built in - holidays, paydays, and that first hot week of summer.

03

Safety stock from the math

Order proposals sized to your service-level target per category - perishables and slow-movers get different treatment, automatically.

04

Coverage is watched, honestly

If the 90% interval stops containing ~90% of outcomes, the model recalibrates and tells you - a forecast that can say "I'm less sure this week" is one you can plan on.

The Four Guarantees™ - this build

Measured value

~30% less overstock writedown + ~25% fewer stockouts + working capital freed. Pinball-loss + interval-coverage eval gate vs seasonal-naive.

Defensible

Driver decomposition per forecast - trend, seasonality, promo, holiday. Auditable assumptions; every scenario logged.

Self-correcting

Interval coverage (PICP) tracked live; recalibration triggers on coverage breach; demand-pattern drift alerts.

Yours & everywhere

ERP read + write-back of proposals; your cloud, full source. MCP endpoint for procurement agents.

The number, sized honestly

Reference buyer: Lithuanian / Baltic retailer or distributor, ~€10M revenue, ~500 SKUs, ~5% stockout rate, ~€100k/yr overstock writedowns.

~30% overstock writedowns cut ≈ €30k/yr - the agreed number (conservative)
~25% fewer stockouts ≈ €40-60k/yr revenue recovered
€50-100k working capital freed via honest safety-stock sizing
~2 mo payback at the PoC tier

Three ways to own it

Tier What you get Price
Scaffolding The full repo - models + conformal intervals + pinball/PICP eval harness, audit log, MCP server. Reference run on public retail data. €1,990
PoC ★★RECOMMENDED Trained on your sales history - forecast accuracy and interval coverage backtested against your actual demand, LT calendar included. Code + quality report yours. No guarantee before the backtest speaks. from €6,000
Implementation ★★★ Production: live forecasts in your planning flow, coverage monitoring, re-forecast cadence, retraining, monthly accuracy-vs-naive report - the agreed number (conservative) attaches here. from €18,000

★ = engagement depth. PoC is the recommended path: quality proven on your data before production money. The PoC carries no performance guarantee by design; the agreed number (conservative) attaches at Implementation, informed by the PoC report.

What we don't promise

New SKUs and promo spikes are the hard cases - and the model says so. It handles them with wider intervals instead of confident nonsense, and your planner keeps override authority on every order. With less than two full years of history, expect wider intervals in year one - the chart above shows uncertainty honestly because that's the only kind of forecast worth planning on.

Ready to see your own number?

Request the build: within 48h you get a personal reply with the value sized to your volume.

No commitment · reply within 48h · your data stays in the EU