PartsIQ | Spare Parts Planning & Inventory Intelligence

The Challenge

Stop Guessing. Start Planning.

Without PartsIQ

Stockouts cause service delays and customer dissatisfaction
Dead stock ties up capital with parts nobody needs
Forecasts based on gut feel instead of actual product demand data
No visibility into inventory gaps across locations
Supplier lead times and reliability are a mystery
Compatibility gaps — wrong parts ordered for appliance models

With PartsIQ

AI-driven recommendations prevent stockouts before they happen
Dead stock detection with liquidation and transfer suggestions
Product-demand-led forecasting, cascaded into parts demand via BOM and claims data
Gap analysis shows exactly what to order and when
Supplier intelligence tracks lead times, reliability, and pricing
Part-model compatibility ensures the right parts are available

Platform Modules

Complete Parts Intelligence Suite

Every module works together to give you end-to-end visibility across your parts supply chain.

Command Center

Single dashboard showing real-time inventory health, stockout risks, pending POs, and exception alerts. Filter by category, appliance type, location, or supplier.

Demand Forecasting

Product-demand-led forecasting — forecast demand at the product, model, or category level first, then cascade it into parts demand using BOM mapping and claims-driven repair data. Time-series, regression, and intermittent-demand methods with market signal adjustments and confidence scoring.

Gap Analysis

Compare available stock + incoming against forecasted demand to identify inventory gaps. Get suggested purchase quantities with urgency ratings and part-level explanations.

Supplier Intelligence

Track supplier reliability scores, actual vs. promised lead times, quality scores, and pricing per part. Primary and alternate supplier assignments with cost comparison.

Purchase Orders

Full PO lifecycle — draft, ordered, partially received, received, closed. Track items with expected delivery dates, received quantities, and delivery performance.

Exception Alerts

Real-time alerts for stockout risk, reorder required, delayed POs, overstock, dead stock, forecast errors, and missing mappings. Severity-ranked with recommended actions.

Dead Stock Management

Identify slow-moving and dead stock with days-since-last-demand tracking. Get recommendations — discount, transfer, return to supplier, or scrap — with stock value impact.

Market Signals

Incorporate external signals — seasonality, promotions, product launches, competitor actions, regulatory changes — to adjust demand forecasts with impact direction and confidence scoring.

Service Performance

Track service levels by part, location, and category. Monitor forecast accuracy (wMAPE), bias, ABC/XYZ classifications, and on-time delivery performance across your network.

How It Works

From Data to Decisions

PartsIQ connects your existing data to generate actionable inventory intelligence.

1. Integrate Your Data

Import parts catalog, appliance models, part-model compatibility, supplier data, stock balances, claims history, and repair mappings. Bulk CSV import or API integration.

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2. Generate Intelligence

PartsIQ forecasts product demand first, then converts it into parts demand using BOM mapping and claims data, analyzes inventory positions against forecasts, evaluates supplier performance, and detects exceptions automatically.

3. Review Recommendations

Review gap analysis, shortage planning, last-buy recommendations, and dead stock actions. Each recommendation includes an urgency rating, explanation, and confidence score.

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4. Execute & Optimize

Create purchase orders, track goods receiving, monitor stock movements, and continuously improve with service performance analytics and forecast accuracy tracking.

Capabilities

Built for Service Supply Chains

Appliances

Home & kitchen

Electronics

Consumer & industrial

Repair Networks

Multi-location service

Manufacturing

Aftermarket parts

Warranty

Claims-driven demand

Distribution

Multi-warehouse

Returns

Good/defective/scrap

Service Ops

Performance analytics

FAQ

Frequently Asked Questions

PartsIQ is designed for spare parts planning across appliance, electronics, and repair categories. It supports any industry with service supply chains — home appliances, consumer electronics, industrial equipment, automotive aftermarket, and warranty service networks. You define your own categories, appliance models, part types, and repair mappings.

PartsIQ forecasts demand at the product, model, or category level first — recommending time-series, regression, or intermittent-demand methods based on your data pattern. Approved market signals (promotions, warranty waves, seasonality) adjust that product forecast. The adjusted product demand is then converted into parts demand using BOM (bill of materials) mapping and claims-driven repair data — so parts planning is never done in isolation from actual product demand.

PartsIQ has a built-in Import Center supporting CSV uploads for all data entities: parts catalog, appliance models, part-model compatibility, suppliers, locations, opening stock, stock movements, claims records, repair mappings, and market signals. The import pipeline validates data, reports errors, and lets you fix issues before import. API integration is also available for ongoing data sync.

Gap Analysis goes beyond simple reorder points. It compares current stock + incoming orders against forecasted demand, calculates safety stock based on lead time variability and service level targets, and identifies the exact inventory gap per part per location. Each recommendation includes suggested order quantity, urgency, confidence score, and an explanation so you understand exactly why action is needed.

Spare Parts Planning & Inventory Intelligence