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Industry Solution · Industrial Manufacturing

Manufacturing Supply Chain Planning Software to Control Complexity With Confidence

Probabilistic AI for production and supply planning, multi-echelon inventory optimization, and S&OP — stabilize production plans and free working capital across complex, multi-tier manufacturing networks, even when demand is volatile and supply is unstable.

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Overview

In Manufacturing, the Cost of a Plan Is Locked in Long Before Demand Is Certain.

In industrial manufacturing, 15–35% of revenue is committed to inventory and work-in-progress long before demand is certain. Plan with deterministic forecasts, static safety stocks, and monthly S&OP cycles and you lock in the wrong bets — overstocking slow components while critical materials run short, driving stockouts, excess inventory, idle production lines, and premium freight to recover — all while long, multi-tier supplier lead times and complex BOMs amplify every error. ToolsGroup’s manufacturing supply chain planning software closes that gap with range-based probabilistic forecasting and decision intelligence that models every constraint — from probabilistic lead times to lot sizes and BOM dependencies — for feasible production and supply plans. It continuously steers demand, supply, and service toward your financial targets, keeping lines running and improving on-time-in-full (OTIF) delivery while freeing the capital trapped in inventory and WIP.

What Manufacturing Optimization Delivers

Aggregate outcomes across ToolsGroup customers in industrial manufacturing and multi-tier production networks.

  • 99 %+

    Product availability

  • 40 %

    Reduction in inventory

  • 50 %

    Cut in overtime and expedites

  • 90 %

    Less planner workload

Trusted by Manufacturers

Across automotive, industrial equipment, HVAC, building products & consumer goods

Why Traditional Planning Breaks in Manufacturing

When demand is volatile, supply is unstable, and BOMs are complex, legacy planning keeps teams firefighting — eroding service, inventory efficiency, and margin all at once.

Challenge 01

Unstable forecasts

Inaccurate, sales-led forecasting and disconnected local planning drive constant changes — and an unstable production plan that’s reworked again and again.

Challenge 02

Growing global inventories

Volatile demand and disrupted supply — component shortages, long lead times — push teams to hold inventory as insurance, inflating working capital.

Challenge 03

Upstream decisions ignore downstream

Production and procurement choices are made without seeing their impact on service, inventory, and margin later in the lifecycle.

Challenge 04

Decisions made in silos

Production, inventory, and service decisions are optimized independently, creating hidden trade-offs that surface later as cost, expediting, or missed commitments.

Challenge 05

Margin pressure

Inflation, tariffs, and global disruption drive up costs, while competition from sector giants pressures prices — squeezing margin from both sides.

Purpose-Built Capabilities for Complex Manufacturing

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

The forecasting problem

Why Deterministic Planning Fails in Manufacturing

Traditional planning is deterministic — a single forecast, fixed lead times, and static safety stock. That works when demand is steady. In manufacturing, it rarely is.

Demand is lumpy — project-based, engineered-to-order, or driven by OEM order patterns — while frequent new product introductions (NPIs) and model changes keep disrupting historical forecasts, and every forecast change forces planners to rework the whole plan. Layer on long, multi-tier supplier lead times and complex BOMs, and small errors cascade into idle lines, premium freight, and missed delivery commitments. Deterministic plans look precise, then break the moment reality deviates.

Probabilistic planning models the full range of demand and supply outcomes — including the variability in lead times and BOM components — instead of one fragile number. It produces stable, feasible production plans that anticipate variability rather than react to it — the foundation Decion builds on, across constraint-aware production planning, multi-echelon material positioning, and agentic AI.

Traditional planning
01 Single forecast
02 Fixed safety stock
Idle lines + excess WIP
Probabilistic planning
01 Range of demand & supply
02 Constraint-aware plan
03 Smooth production even with lumpy demand
Higher service + lower inventory
Featured analyst recognition

Recognized by Gartner for Managing Uncertainty in Manufacturing Supply Chains

In the Gartner® Magic Quadrant™ for Supply Chain Planning Solutions, 2026, ToolsGroup is noted for the strength of its probabilistic approach to managing demand and supply uncertainty — the core challenge facing manufacturers.

Also recognized: 4.5★ Gartner Peer Insights

Read the Gartner report

Built for manufacturers

If You Manufacture It, It’s Built for You

The hard part of manufacturing planning — volatile and project-based demand, long multi-tier lead times, complex BOMs, multi-echelon networks — is the same whatever you build. A few sectors where we have customers today:

  • Industrial equipment & machinery

    Bearings, motion, and capital-equipment manufacturers planning components, subassemblies, and WIP across multi-tier global networks.

  • Building & home products

    Kitchen, bath, shading, and building-system manufacturers balancing seasonality, long portfolios, and complex BOMs.

  • Consumer durables & goods

    Branded consumer-goods and durables manufacturers managing promotions, seasonality, and complex multi-market distribution.

  • Tools & hardware

    Tool and hardware manufacturers planning broad product portfolios across global plants and 100+ markets.

  • Packaging & materials

    Packaging and materials producers managing long lead times, capital-intensive production, and tight service commitments.

  • Engineered & make-to-order

    Project-based and configure-to-order manufacturers stabilizing lumpy, engineering-driven demand and constrained capacity.

Don't see yours? If you run a complex, multi-tier production network, the planning challenge is the same — and so is the fit.

Manufacturers Who Turned Complexity Into Advantage

Customer proof from production operations spanning industrial equipment, building products, and packaging.

  • Schoenberger Customer Story

    Schoenberger

    A 145-year-old blinds and shades maker ran demand planning on spreadsheets. Six months later, it was planning a seasonal, Far-East-sourced supply chain end to end.

    • -60% Inventory
    • 95% Product Availability
    Read the Story Success Story
  • Franke Case Study Customer Story

    Franke

    The kitchen and bathroom manufacturer plans 125,000 SKUs across 146 markets and 17 ERP systems. Nobody thought two people could do it.

    • 50% Faster Forecasting
    • 8 pts Forecast Accuracy (MAPE)
    • 1.4M SKU-Markets Managed
    Read the Story Success Story
  • CaseStudy_Boise paper.jpg Customer Story

    Boise

    From the tree to the warehouse, with weeks of stock sitting in rail cars — now managed to service levels, not inventory turns.

    • −20% Inventory — Double the Target
    • +3 pts Service Level
    Read the Story Success Story

Manufacturing Leaders in Their Words

  • Each product now has one global forecast, one planning method, one responsibility, and true end-to-end accountability.
    Joerg Schlager Business Transformation Manager SKF
  • We have been able to really standardize and centralize the whole S&OP process much more efficiently and with many more users than before. The combination of a leading system component with powerful algorithms, plus an easy-to-use web interface to collaborate with our European commercial teams, really unlocks full potential to be fully demand-driven.
    Ibrahim Cebban Supply Chain Manager Europe Melitta
  • We are very satisfied with our ToolsGroup implementation. The people were great to work with, showed a high level of expertise, were always open to listen and always found a solution that would help us manage our highly complex supply chain with confidence.
    Enrico Casalino Head of Logistics Planning & Engineering Franke

Go Deeper on Manufacturing Planning

Analyst reports, guides, case studies, and webinars on probabilistic forecasting, MEIO, and S&OP for complex manufacturers.

View All Resources

Manufacturing Supply Chain Planning FAQ

Questions buyers ask about manufacturing planning software.

What is manufacturing supply chain planning software?
Manufacturing supply chain planning software forecasts demand, plans production and supply, and optimizes inventory across multi-tier manufacturing networks. Unlike generic ERP planning, it models probabilistic lead times, complex BOMs, and production constraints — producing feasible, stable plans even when demand is volatile or project-based.
How is probabilistic forecasting different from deterministic planning?
Deterministic planning predicts a single number and assumes predictable lead times and demand. Probabilistic planning models the full range of demand and supply outcomes, so plans stay stable and feasible when demand is lumpy, project-based, or make-to-order.
What is multi-echelon inventory optimization (MEIO) for manufacturing?
MEIO optimizes the position of components, subassemblies, and finished goods across every tier of the network — suppliers, plants, DCs, and depots — instead of each location in isolation, driving to service targets at the lowest total inventory.
How does it integrate with ERP systems like SAP?
Decion connects through pre-built connectors and APIs for SAP, Oracle, Microsoft Dynamics, and other ERP and WMS systems. It syncs demand, inventory, and production data and runs alongside existing systems rather than replacing them.
Why not just plan production in our ERP?
ERP systems execute transactions; they plan with deterministic, average-based logic that breaks on volatile demand and long lead times. Manufacturing planning software adds probabilistic forecasting, constraint-aware production planning, and multi-echelon optimization on top of your ERP.
How does it handle lumpy, project-based, or make-to-order demand?
Range-based probabilistic modeling stabilizes MPS and MRP by anticipating variability rather than reacting to it — so a single forecast change doesn’t force planners to rework the entire production plan.
What is S&OP software and how does it help manufacturers?
S&OP software — and broader integrated business planning (IBP) — aligns demand, supply, production, and financial plans on a continuous cadence. ToolsGroup converts demand into feasible, constraint-aware production and supplier plans and enables cross-functional collaboration across sales, engineering, and operations.
What results do manufacturers see?
Results are customer-specific. Schoenberger reached 95% forecast accuracy while cutting inventory 60%; Bellota reached 96% service levels while reducing inventory 14%; Gaviota raised overall service 18 points while reducing stock 43%.
How long does it take to see results?
Results vary by operation, but manufacturers often see impact within months. Franke cut demand-planning time 50% and improved forecast accuracy during the project itself.
How does it handle complex BOMs and long supplier lead times?
Decion models probabilistic lead times and BOM dependencies, planning components, subassemblies, and WIP together so late or missing parts don’t stall production lines or trigger premium freight.
How does scenario planning protect against supply disruption?
S&OP scenario exploration lets teams model supply shortages, capacity losses, and demand surges — with financial-impact analysis layered in for fast, confident trade-off decisions before disruption hits operations.
Can it balance OEM production against aftermarket service demand?
Yes. Dual-sided optimization balances manufacturing demand against service-level commitments, modeling the trade-offs when OEM production and the service business compete for the same constrained components.
Which manufacturing sectors use it?
Manufacturers with complex, multi-tier networks: industrial equipment and machinery, building and home products, consumer durables and goods, tools and hardware, packaging and materials, and engineered or make-to-order producers.

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