Warehouse interior with shelving racks stretching toward vanishing points, amber overhead lighting
STOCKPILE VMI — SYSTEM LIVEFEB 26 2026 · 05:46:32
Vendor Managed Inventory

The warehouse
reads itself.

0%
FILL RATE
avg across all facilities
0%
CARRYING COST
reduction in first 90 days
0-DAY
REPLENISHMENT CYCLE
average lead-to-shelf
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Multi-Location SyncDemand-Signal ForecastingAuto-Reorder TriggersSupplier EDI IntegrationReal-Time Bin CountsCycle Count AutomationSafety Stock OptimizationLead-Time ModellingMulti-Location SyncDemand-Signal ForecastingAuto-Reorder TriggersSupplier EDI IntegrationReal-Time Bin CountsCycle Count AutomationSafety Stock OptimizationLead-Time Modelling
Performance Audit — FY2025
SECTION 02
MULTI-LOCATION MODULE
412SKUs
AUTOMATED

Multi-location visibility module tracks every SKU across all three of your facilities simultaneously — no manual counts, no spreadsheet reconciliation.

DEMAND FORECASTING
$1.2M
FREED FROM INVENTORY

Demand-signal forecasting replaces gut-feel safety stock with statistically calibrated minimums. Capital stops sitting on shelves.

AUTO-REORDER ENGINE
99.1%
ORDER ACCURACY

Automated purchase orders generated from live consumption data, not lagging ERP snapshots. The right part arrives before the line notices it's gone.

LEAD-TIME INTELLIGENCE
2.6DAYS
AVG REPLENISHMENT CYCLE

Supplier lead-time modelling and pre-negotiated replenishment windows compress the gap between consumption signal and bin restock.

COST OPTIMIZATION
−31%
CARRYING COST REDUCTION

Right-sized safety stock, eliminated obsolescence, and optimized reorder quantities. Your operations VP finally has the number they've been looking for.

PROCUREMENT AUTOMATION
200+
SKUs MANAGED PER FACILITY

A single procurement director's entire portfolio — tracked, forecasted, and reordered without a single manual touch across all supplier relationships.

How The Engine Works
SECTION 03
01
< 90ms latency
REF: SP-01

Sense

Real-Time Bin Intelligence

RFID readers, barcode scans, and weight sensors feed a live consumption stream. Stockpile registers the pull before the picker closes the bin.

< 90ms latency12 sensor types supported
02
18-week rolling window
REF: SP-02

Signal

Demand-Pattern Modelling

Historical velocity, seasonal shifts, and upstream production schedules are weighted against supplier lead times to generate a forward-looking reorder signal.

18-week rolling windowMRP-aware forecasting
03
EDI + API supplier links
REF: SP-03

Supply

Automated Replenishment

Purchase orders are generated, sent to pre-qualified suppliers, and tracked to dock. Your procurement director reviews exceptions — not routine orders.

EDI + API supplier links< 4% exception rate
Resource Library
SECTION 04

Operational Evidence,
Not Marketing Copy.

Every download is a primary document — frameworks, models, and case data built for plant managers who need proof, not promises.

Open binder with engineering diagrams and inventory charts on a factory desk
MOST DOWNLOADED
34 pp·4.2 MB
WHITEPAPER

The VMI Playbook

A 34-page operational framework for transitioning from reactive reordering to vendor-managed replenishment. Covers supplier contracts, KPI benchmarks, and a 90-day implementation roadmap.

Spreadsheet with financial calculations and inventory cost projections on screen
INTERACTIVE TOOL
Interactive·1.1 MB
CALCULATOR

Carrying Cost ROI Model

Input your current inventory value, SKU count, and carrying rate. The model returns a 12-month projection of capital freed, stockout risk reduction, and net margin improvement.

Automotive parts warehouse with organized bins and workers in safety vests
CASE STUDY
18 pp·2.8 MB
CASE STUDY

Midwest Auto Parts: 0 Stockouts in 14 Months

How a 3-facility Tier 2 automotive supplier eliminated line stoppages, reduced on-hand inventory by 28%, and cut procurement labor by 40% after deploying Stockpile across 310 SKUs.

Checklist document on clipboard with industrial supply chain background
QUICK REFERENCE
8 pp·0.6 MB
GUIDE

Supplier Onboarding Checklist

The 12-step process for integrating a new supplier into an automated VMI loop — covering EDI setup, lead-time agreements, minimum order quantities, and exception escalation paths.

Data analytics dashboard showing inventory trend graphs and forecasting charts
TECHNICAL DEEP-DIVE
22 pp·3.1 MB
WHITEPAPER

Demand Volatility & Safety Stock

Statistical framework for setting safety stock levels under volatile demand — covering coefficient of variation, service-level targeting, and dynamic reorder points.

Electronics manufacturing floor with component bins and assembly lines
CASE STUDY
14 pp·2.3 MB
CASE STUDY

Electronics Contract Manufacturer: −38% Carrying Cost

A PCB assembler managing 480 component SKUs across two facilities reduced excess inventory by $890K in the first two quarters using Stockpile's demand-signal forecasting module.

Ready to Automate Your Inventory?

Start with the playbook.
End with zero stockouts.

The VMI Playbook is a 34-page operational framework used by procurement teams at mid-size manufacturers to implement vendor-managed inventory in 90 days or less.

Talk to an Engineer
412+
SKUs automated
0
stockouts in pilot cohort
90
day deployment