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
Real Results from Aftermarket Leaders
BorgWarner
Learn More →
Mitsubishi Electric
Learn More →
Lennox
Learn More →
Spare parts don't behave finished goods - so they can't be planned like them.
Aftermarket supply chain planning software helps manufacturers, distributors, and service organizations forecast demand for spare parts, optimize inventory across multiple locations, maintain service levels, and support products throughout their lifecycle. 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 parts - 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. It continuously steers demand, supply, and service toward your financial targets, helping organizations maintain high parts availability, improve fill rates, reduce excess inventory, and free the capital trapped in the long tail of spare parts inventory.
What Aftermarket Optimization Delivers
through multi-echelon optimization
on critical, strategic SKUs
Trusted by Aftermarket Leaders Across Automotive, Industrial, HVAC & MRO
Purpose-built Capabilities for Spare and Service Parts
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.
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.
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.”
“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.”
“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.”