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Industry Solution · Aftermarket Parts

Aftermarket Parts Planning Software to Maximize Service While Freeing Capital

Probabilistic AI for intermittent, long-tail demand forecasting and service-driven multi-echelon spare parts inventory optimization that plans and steers execution across your service network — all built to deliver high SLAs.

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Overview

Spare parts don’t behave like products — so they can’t be planned like them.

In an aftermarket catalog, 70–90% of parts are slow-moving or intermittent, and 15–30 cents of every revenue dollar is tied up in inventory and the cost of carrying it. Plan spare and service parts with deterministic, finished-goods methods and you systematically overstock slow movers while stocking out on the critical part — even as customers increasingly expect next-day or same-day service, across a multi-echelon network and service commitments that run 10–15 years. ToolsGroup’s aftermarket supply chain planning software closes that gap with range-based probabilistic forecasting and decision intelligence that unifies planning and execution — continuously steering demand, supply, and service toward your financial targets, keeping service high while freeing the capital trapped in the long tail.

What Aftermarket Optimization Delivers

Representative outcomes across ToolsGroup customers in aftermarket and service-parts networks.

  • 30 %

    Lower total network inventory

  • 3–10 pts

    Service-level gains

  • 50 %

    Better forecastability of long-tail SKUs

  • 12–25 %

    Reduction in inventory holding costs

Trusted by Aftermarket Leaders

Across automotive, industrial, HVAC & MRO

Why Traditional Planning Breaks on Spare and Service Parts

When demand is intermittent and the cost of failure is high, legacy tools turn service parts management into constant firefighting — eroding both service and margin.

Challenge 01

Inventory imbalances

Slow movers sit overstocked while high-demand components run out, wasting working capital and eroding margin across the network.

Challenge 02

Inaccurate forecasts

Deterministic methods treat intermittent, low-volume SKUs as stable averages, so inventory is held as insurance — hitting margin and cash.

Challenge 03

Costly, chaotic logistics

Planning can’t scale across hundreds of thousands of SKU-locations, driving expedited shipping costs and underutilized inventory.

Challenge 04

Pricing inefficiencies

Massive parts catalogs make it hard to manage price changes against rising costs, let alone optimize them dynamically by lifecycle stage.

Challenge 05

Manual, reactive decisions

Responding to disruption after the fact means the damage is done — planners fix errors instead of preventing them, and tribal knowledge walks out the door.

Purpose-Built Capabilities for Spare and Service Parts

Every capability runs on Decion, ToolsGroup’s agentic decision intelligence platform — spare parts planning and finished-goods planning unified in one self-steering system, with pre-built ERP and WMS connectors.

The Forecasting Problem

Why Traditional Forecasting Fails for Spare Parts

Traditional forecasting is deterministic — it predicts one expected number per part and sizes safety stock around it. That works for steady, high-volume demand. Spare parts are the opposite.

Most spare-parts demand is intermittent — sporadic orders with long gaps of zero — and 70–90% of the catalog is long-tail, slow or unpredictable. A single average can’t represent that, and can’t scale across hundreds of thousands of SKUs. You get the worst of both worlds: capital trapped in overstock, and stockouts on the critical part when it matters most.

Probabilistic demand forecasting models the full range of demand instead of one number — including the zero-demand periods. It asks not “how many will we sell?” but “what stock hits the service target at the lowest cost?” That’s what delivers higher service on critical parts while freeing capital from the tail — the foundation Decion builds on, across multi-echelon optimization, automated replenishment, and agentic AI.

Traditional planning
01 Average demand
02 Safety stock
Overstock + stockouts
Probabilistic planning
01 Range of demand
02 Service target
03 Optimal inventory
Higher service + lower inventory
Featured Analyst Recognition

Named a Leader in the IDC MarketScape: Worldwide Supply Chain Planning for Spare Parts/Service Industries

Independent analyst validation specific to aftermarket and service-parts planning — recognizing ToolsGroup’s range-based probabilistic forecasting and multi-echelon inventory optimization.

Also recognized: 4.5★ Gartner Peer Insights

Download the report

If You Plan Spare Parts, it’s Built for You

The hard part of aftermarket planning — intermittent demand, long-tail catalogs, multi-echelon networks, strict service commitments — is the same whatever you make. A few sectors where we have customers today:

  • Automotive aftermarket

    Warranty parts, service campaigns, and dealer-network inventory across global aftersales — from volume models to luxury and heritage fleets.

  • HVAC & building systems

    Seasonal demand, contractor pull, and emergency service-call availability for heating, cooling, and refrigeration parts.

  • Industrial machinery & equipment

    Installed-base spares and field-service fulfillment for capital equipment and production systems.

  • Powersports & recreational vehicles

    Dealer-network parts for snowmobiles, ATVs, motorcycles, and other recreational and off-road vehicles.

  • Energy, utilities & renewables MRO

    MRO inventory for power generation, grid, and renewable-energy operations across dispersed networks.

  • Tire distribution

    Long-tail tire and component availability across large distribution and dealer networks.

  • Appliances & consumer durables

    Service and replacement parts for appliances and durables, from warranty repair to refurbishment.

  • Heavy & off-highway equipment

    Parts for agricultural, construction, and commercial-vehicle fleets with long serviceable lifecycles.

Don’t see yours? If it has a spare-parts catalog, the planning challenge is the same — and so is the fit.

Aftermarket Leaders Who Transformed Their Planning

Customer proof from operations spanning automotive, powersports, and industrial spare parts.

  • BorgWarner Customer Story

    BorgWarner

    59,000 SKUs, 17,000 order lines a day, and parts that must stay available for 15 years — the aftermarket network that can't run out.

    • 98% Customer Service Level
    • −4M Inventory, First Year
    Read the Story Success Story
  • Aston Martin Case Study Customer Story

    Aston Martin

    The iconic British marque raised first-time parts availability across every car category — from classic Heritage models to today's — without adding a penny of inventory.

    • 97% first-time availability
    • 18% less safety stock
    Read the Story Success Story
  • Lubinski Case Study Customer Story

    Lubinski

    20,000 spare parts, 75% of them slow movers, once needed two full-time planners. Now it takes one, one day a week.

    • €1.5M First-Year Savings
    • −25% Stock, at 96–97% Service
    Read the Story Success Story

What Aftermarket Leaders Say

  • We had a good 87 percent service level but this came at the expense of building up more and more obsolete parts in our warehouse. We set out to modernize in order to reduce inventory, strive for even higher service levels and gain more useful insights through our planning.
    Thomas Schuhmann GM, Business Development & Sales Direct Markets Mitsubishi Electric
  • With ToolsGroup, we have the AI-driven supply chain planning solutions that allow us to adapt quickly and stay flexible, helping us meet our own business goals while delivering on our promises to customers and strengthening our relationships with suppliers.
    Sarah Voorhees VP Demand and Inventory Planning American Tire Distributors
  • Thanks to ToolsGroup applying its new machine learning technology to our problem in a creative way, we’re now much better geared up to serve our demanding client base without impacting our bottom line.
    Nick Wilson Former Senior Inventory Planner, Parts Operations Aston Martin

Go Deeper on Aftermarket Planning

Analyst reports, guides, case studies, and webinars on spare-parts forecasting and multi-echelon optimization.

View All Resources

Aftermarket Parts Planning FAQ

Questions buyers ask about spare parts planning software.

What is aftermarket parts planning software?
Aftermarket parts planning software forecasts demand, optimizes inventory, and automates replenishment for spare and service parts. Unlike generic ERP planning, it handles intermittent, long-tail demand, multi-echelon service networks, and strict SLAs — using range-based probabilistic forecasting instead of single-point averages.
How is spare parts demand forecasting different from finished goods?
Spare-parts demand is intermittent and lumpy, with long stretches of zero demand. Deterministic, finished-goods forecasting treats that as a stable average and systematically overstocks slow movers while missing critical parts. Range-based probabilistic forecasting models the full distribution of outcomes instead.
What is multi-echelon inventory optimization (MEIO)?
MEIO is spare parts inventory optimization that works across every tier at once — central warehouses, regional DCs, depots, and local service points — instead of each location in isolation. It drives to service-level targets while minimizing total network inventory, typically by up to 30%.
How does it integrate with ERP and WMS systems?
Decion connects through pre-built connectors and APIs for systems such as SAP, Oracle, and Microsoft Dynamics. Integration syncs demand, inventory, and replenishment data and is designed to run alongside existing systems rather than replace them.
Why not just plan spare parts in our ERP system?
ERP systems are built to execute transactions, not to plan intermittent demand. Their deterministic, average-based logic systematically overstocks slow movers and misses critical parts. Aftermarket planning software adds range-based probabilistic forecasting and multi-echelon optimization on top of your ERP — syncing data both ways rather than replacing it.
Can spare parts be planned in spreadsheets?
Spreadsheets can’t scale across hundreds of thousands of SKU-locations or model lumpy, intermittent demand, so teams hold inventory as insurance and firefight stockouts. They also lock planning logic in a few experts’ heads — a growing risk as planners retire. Purpose-built planning automates the long tail and captures that expertise in the system.
What service levels can AI-driven planning achieve?
Results are customer-specific. BorgWarner reached 98% availability network-wide; Lubinski cut inventory around 25% while holding 96–97% service across a largely long-tail catalog; Aston Martin reached 97.1% first-time availability while cutting safety-stock value 18%.
What is the typical ROI of aftermarket planning software?
ROI comes from inventory reductions, service-level gains, and lower distribution and obsolescence costs. Representative aftermarket outcomes range from 15–40% less long-tail inventory to up to 50% lower obsolescence and 3–10 service-point gains on critical SKUs. Request a scoped estimate for your operation.
How long does it take to see results?
Results vary by operation, but aftermarket teams often see impact in months, not years. Aston Martin cut safety-stock value 18% within two months of go-live, and Amara reached a 12% MRO inventory reduction in six months.
How does it handle slow-moving and no-history parts?
In a typical catalog, 70–90% of parts are slow-moving or intermittent. Decion uses range-based probabilistic planning to model uncertainty — including zero-demand periods — without ballooning safety stock. For new SKUs with no history, analog and attribute-based methods plan demand before launch.
How does it manage product phase-outs and last-time buys?
Phase-ins, phase-outs, and supersessions create excess stock, obsolescence, and poor last-time buys. Decion applies scenario-driven lifecycle planning and recommends optimal last-time-buy quantities based on holding cost and future need — cutting obsolescence by up to 50% during transitions.
How do you plan repairable parts and returns?
Returns, repairs, and refurbishment create unpredictable inflows that distort planning and erode margin through scrap. ToolsGroup forecasts return flows probabilistically and treats refurbished parts as planned supply, aligned to repair lead times — lowering scrap and obsolescence while recovering value from resale and refurb.

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