Inventory Intelligence Platform

Know what
you need
before you
need it.

Forecast watches raw material flows, production cycles, and supplier lead times to tell your floor managers exactly what to order — 90 days before the line runs dry.

Run a Sample ForecastSee How We Calculate
LIVE ALERT — Aluminum Rod 6061-T6 · 12,400 units · Reorder trigger in 9 days
FORECAST — INVENTORY INTELLIGENCE
LIVEUpdated 14s agoQ2 2026

Demand Forecast vs Actual Consumption

Aluminum Rod 6061-T6 · Plant A · Rolling 90-day window

ForecastActual
REORDER THRESHOLDREORDER IN 9d

Active SKUs — Risk Sorted

Aluminum Rod 6061-T6REORDER NOW
12,400 unitsT–9 days
Steel Plate A36 — 4mmWATCH
8,750 unitsT–23 days
Hex Bolt M12×50 GR8.8STABLE
94,200 unitsT–41 days
Bearing 6205-2RSWATCH
3,100 unitsT–17 days

Supplier Delivery Probability

94.7%↑ 2.1pp
0%50%100%
12 suppliers monitored·847 SKUs tracked·Forecast horizon: 90 days·Model accuracy: 97.9%2026-02-24 21:30:45
LIVE DATA
Scroll
Aluminum Rod 6061-T6REORDER IN 9 DAYSSAP IntegrationCONNECTEDAvg Forecast Error2.1 DAYSSteel Plate A36WATCH — 23 DAYSLine Uptime YTD98.6%Bearing 6205-2RSWATCH — 17 DAYSCarrying Cost Δ−37% vs BASELINESupplier On-Time94.7%Hex Bolt M12×50STABLE — 41 DAYSActive Alerts3 CRITICALAluminum Rod 6061-T6REORDER IN 9 DAYSSAP IntegrationCONNECTEDAvg Forecast Error2.1 DAYSSteel Plate A36WATCH — 23 DAYSLine Uptime YTD98.6%Bearing 6205-2RSWATCH — 17 DAYSCarrying Cost Δ−37% vs BASELINESupplier On-Time94.7%Hex Bolt M12×50STABLE — 41 DAYSActive Alerts3 CRITICAL
Measured outcomes

Numbers from the floor, not the pitch deck.

Carrying Cost
0%

Reduction in carrying costs

Midwest auto-parts manufacturer, 6 months post-deployment

BEFOREAFTER FORECAST

Eliminated $2.4M in dead stock. Safety stock recalculated weekly against 90-day demand curves instead of annual averages.

Forecast Accuracy
0 days

Average forecast error

Across 847 SKUs, rolling 90-day window

vs 11.4d industry
Line Uptime
0%

Production line uptime

Tracked across 14 plant deployments

0 STOCKOUT HALTS IN Q4 2025

Previous baseline: 3.2 per quarter

Earliest Signal
0 days

Earliest reorder signal

12,400 units. Supplier lead time: 14 days. Buffer: 5 days. Signal fired automatically.

Supplier Reliability Heatmap — 90 days

DisruptionDelayedOn-time
Model Architecture

How We Calculate

Three signal layers fused into a single reorder point. No black box — every weight is inspectable, every assumption is documented.

See How We Calculate ↓

Layer 1: Consumption Signal

Rolling weighted average of actual line consumption. Weights recent weeks 3× more than historical baseline. Outlier-resistant via median absolute deviation filtering.

Formula

W(t) = Σ[w_i × c_i] / Σw_i where w_i = e^(−λ·Δt)

All parameters visible in your dashboard settings
Compatible Systems

Connects to your existing stack in under a day.

SAP ERP

ERP

live

Oracle NetSuite

ERP

live

Microsoft Dynamics

ERP

live

Infor CloudSuite

ERP

live

Siemens Opcenter

MES

live

Rockwell FactoryTalk

MES

live

Epicor Kinetic

ERP

live

Plex MES

MES

beta

Fishbowl

WMS

live

Manhattan WMS

WMS

live

REST API

Custom

live

CSV / SFTP

Import

live

No custom middleware. Forecast reads directly from your ERP via certified connectors. Average setup time: 6 hours.

Live Sandbox

See your inventory through Forecast's eyes.

The sandbox loads anonymized data from an auto-parts manufacturer with 847 SKUs and 12 suppliers. Manipulate lead times, change order quantities, and watch the forecast recalculate in real time. No form. No sales call.

  • Drag supplier lead time sliders
  • Trigger a simulated stockout
  • Export a 90-day forecast report
Run a Sample Forecast →See How We Calculate