Challenge 01
Working capital & margin erosion
Slow movers get overstocked while high-demand items run out — so working capital is used inefficiently and margins erode from both directions.
Industry Solution · Wholesale Distribution
Wholesale Distribution Supply Chain Planning Software to Optimize Inventory Without Compromising Service
Range-based probabilistic AI for long-tail demand forecasting, multi-echelon inventory optimization, and network rebalancing deliver higher service with less inventory across large, dispersed B2B distribution networks, even when demand is intermittent, margins are tight, and the cost of a stockout is high.
Overview
In distribution, your margin is trapped in inventory — most of it in the long tail.
In wholesale distribution, 15–30 cents of every revenue dollar is tied up in inventory and the cost of carrying it. Most SKUs move slowly or intermittently, so deterministic forecasting treats lumpy demand as a stable average — systematically overstocking slow movers while strategic items run short. Add long, unreliable supplier lead times, SKU proliferation, and "Amazon-standard" service expectations, and traditional planning breaks fast: stockouts, expediting, and working capital all climb at once. ToolsGroup’s wholesale distribution supply chain planning software closes that gap with range-based probabilistic forecasting built for the long tail and decision intelligence that rebalances inventory across your entire network — continuously steering service, cost, and margin toward your financial targets to deliver higher service with less inventory.
What Wholesale Distribution Optimization Delivers
Aggregate outcomes across ToolsGroup customers in B2B distribution networks.
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99 %+
Service levels
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Up to 30 %
Inventory reduction
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50 %
Fewer stockouts
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Up to 60 %
Less expediting
Trusted by Wholesale Distributors
Across electrical & electronics, packaging, industrial & MRO, and office products
Why Traditional Planning Breaks in Distribution
When demand is intermittent and the consequences of failure are huge, traditional planning breaks fast — leaving teams firefighting while working capital, expediting, and lost sales all climb at once.
Challenge 02
Poor forecast accuracy on the long tail
Intermittent, low-volume SKUs defy deterministic forecasting, so inventory gets held as insurance — tying up cash and hitting margin.
Challenge 03
Unreliable supplier lead times
Suppliers deliver inconsistently, with long, unreliable, and shifting lead times that make every stock position fragile.
Challenge 04
Rising "Amazon-standard" expectations
Customers demand faster lead times and higher fill rates across an ever more complex fulfillment network — while online rivals and price transparency squeeze margin.
Challenge 05
Manual, reactive planning
Disjointed systems and experience-and-guesswork planning keep teams firefighting, with fixed days-of-coverage stock and tribal knowledge walking out the door.
Purpose-Built Capabilities for Distribution
Every capability runs on Decion, ToolsGroup’s agentic decision intelligence platform — demand, inventory, and replenishment planning unified in one self-steering system, with pre-built ERP and WMS connectors.
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Long-tail probabilistic forecasting
Range-based probabilistic demand forecasting optimized for long-tail, intermittent, and highly seasonal demand — predicting what’s predictable and preparing for the rest without ballooning safety stock.
Probabilistic Demand Forecasting : Long-tail probabilistic forecasting -
Service-driven MEIO
Dynamic multi-echelon inventory optimization that drives to service targets while optimizing the stock mix across large, dispersed multi-region networks — service as a goal, not a byproduct.
Multi-Echelon Inventory Optimization : Service-driven MEIO -
Smart network rebalancing
Optimized transfer and rebalancing recommendations that move stock to where it’s needed — serving more demand from existing inventory before buying more.
Network Rebalancing : Smart network rebalancing -
Inventory-aware price optimization
Lifecycle price and markdown optimization tied to inventory — protecting margin and accelerating end-of-life sell-through, and buying at the right price break, not just the biggest.
Price Optimization : Inventory-aware price optimization -
Scenario-driven response planning & S&OP
What-if scenario planning with financial-impact analysis, so you can weigh cost, margin, and service trade-offs before surges, shortages, or disruptions hit operations.
S&OP : Scenario-driven response planning & S&OP -
Margin-driven replenishment
Dynamic replenishment tunnels ensure orders take advantage of price breaks and keep critical SKUs available without holding excess across the network.
Replenishment : Margin-driven replenishment
The forecasting problem
Why Deterministic Forecasting Fails in Distribution
Traditional forecasting is deterministic — a single number per SKU, with stock set on fixed "days of coverage." That works for steady, high-volume demand. In distribution, most SKUs are nothing like that.
Most of the catalog is long-tail — slow-moving and intermittent — so a single average systematically overstocks slow movers and starves the strategic items customers actually call about. Fixed days-of-coverage makes service a byproduct of stock decisions instead of a goal, and unreliable supplier lead times turn every error into a stockout or an expensive expedite.
Probabilistic planning models the full range of demand — including the intermittent long tail — instead of one fragile number, setting inventory to hit explicit service targets at the lowest total cost. It's the foundation Decion builds on, across multi-echelon inventory optimization, network rebalancing, and agentic AI.
Traditional planning
01 Single forecast
02 Fixed days of coverage
Overstock + stockouts
Probabilistic planning
01 Range of demand
02 Service target
03 Optimal inventory
Higher service + lower inventory
Featured analyst recognition
Read the Gartner report Recognized in the Gartner Magic Quadrant for Supply Chain Planning
In the Gartner® Magic Quadrant™ for Supply Chain Planning Solutions, ToolsGroup is noted for the strength of its probabilistic approach to managing demand and supply uncertainty — the core challenge facing large, dispersed B2B distribution networks with long-tail SKU portfolios.
Also recognized: 4.5★ Gartner Peer Insights
If You Distribute It, It’s Built for You
The hard part of distribution planning — long-tail intermittent demand, dispersed multi-region networks, unreliable lead times, high SLAs — is the same whatever you distribute. A few sectors where we have customers today:
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Electrical & electronics distribution
Components and electrical-equipment distributors managing huge catalogs, long-tail SKUs, and dispersed branch networks.
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Industrial, MRO & fluid systems
Industrial and maintenance distributors planning hundreds of thousands of item-location combinations against OEM and contractor demand.
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Packaging & shipping supplies
Multichannel packaging distributors balancing long-tail availability, seasonality, and fast 24–48h delivery promises.
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Office & business products
Office-automation and business-supply distributors automating replenishment across central warehouses and dealer franchises.
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Building & construction products
Construction and building-product distributors managing seasonal demand, project spikes, and wide regional networks.
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Apparel & consumer goods
Apparel and consumer-goods distributors handling strong seasonality, fashion change, and multi-channel fulfillment.
Don't see yours? If you run a large, dispersed network with a long-tail catalog and high service commitments, the challenge is the same — and so is the fit.
Distributors Who Deliver Higher Service With Less Inventory
Customer proof from B2B distribution operations spanning packaging, industrial supplies, and apparel.
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Gruppo Giovannini
The electronics distributor grew its product line 30% — and stayed profitable through a downturn that took 20% of its revenue.
- +30% Product Line, 70% Long-Tail
- −20% Revenue, Still Profitable
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Moleskine
1,000 SKUs, 25,000 points of sale in 105 countries, 20% of the range new every year — a notebook business with fashion-industry demand.
- 70% Better Forecast Accuracy
- -15% Working Capital
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Harrington
550,000 item-warehouse combinations across 57 branches — planned, until recently, with flat averages and gut feel.
- 550K Item-Warehouse Combinations
- 57 Branches, Hawaii to Florida
Distribution Leaders in Their Words
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We’re able to look at different scenarios, service classes and lead times to figure out if we need to raise or lower the service level. The demand planning helps me confidently forecast even items with unpredictable demand.
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ToolsGroup helped us stay profitable during a global economic downturn, freeing up capital to invest in long-term growth.
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ToolsGroup automated our manual replenishment process by providing accurate and easy-to-use replenishment mechanisms for the buying department.
Go Deeper on Distribution Planning
Analyst reports, guides, case studies, and webinars on long-tail forecasting, MEIO, and network rebalancing.
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How One Distribution Giant Adapted Quickly to Changing Market Conditions and Right-Sized Inventory While Maintaining Service Levels
How One Distribution Giant Adapted Quickly to Changing Market Conditions and Right-Sized Inventory While Maintaining Service Levels
Read more -
Nashua Increases Product Availability to 95% Using ToolsGroup
Find out how Nashua transformed their process – increasing product availability to 95 percent – using demand forecasting and inventory optimization solutions to generate a 50 percent growth in sales.
Read more -
Global Footwear Retailer Gives Competitors a Run for Their Money with ToolsGroup
By implementing allocation and replenishment software, this global footwear retailer sold 2 Million more units on Black Friday than the previous year – paying for the entire project in one day.
Read more -
Saving Lives through Improved Supply Chain Planning
Saving Lives through Improved Supply Chain Planning
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Harrington Plastics ditches forecasting guesswork and improves network integration and visibility
Harrington Plastics ditches forecasting guesswork and improves network integration and visibility.
Read more -
Global Eyewear Co.: Reducing Stock While Maintaining High Service Levels
This company had the challenge of intelligently managing inventory to maintain high service levels but avoid excess stock, so they sought the help of the ToolsGroup solution.
Read more -
Balancing Service Levels and Working Capital with S&OP
The electronics distribution business is competitive and Gruppo Giovannini needed to make optimal trade-offs between working capital and service levels.
Read more -
Improving Promotional Forecasting through Machine Learning
Granarolo required optimized inventory management and complete visibility in an environment characterized by short shelf life and promotional pressures.
Read more -
Taming the Long Tail of Spare Parts Demand
Sports car company’s management set a challenging target of raising the spare parts service level from 70% to 90% in two years, without increasing inventory levels.
Read more -
Mastering the eCommerce long tail
90% of Ratioform's inventory items were in the long-tail making it hard to balance costs with service level . The ToolsGroup solution came to the rescue.
Read more -
Moleskine Turns the Page and Optimizes Its Supply Chain
Moleskine had to manage supply chain planning across increasing brand complexity. They needed a demand forecasting tool that would increase service levels and reduce working capital.
Read more -
Overcoming long-tail SKUs to significantly decrease excess stock while providing high service levels
Lubinski faced a challenging environment of managing over 20K slow moving items in their warehouse. With the help of the ToolsGroup solution, they saw decreased stock and more.
Read more -
Improved Supply Chain Planning Leads to Dramatically Fresh Results
Multi-national food company needed a reliable forecasting tool capable of predicting lift to baseline demand from trade promotions and media events. SO99+ came to the rescue.
Read more -
Bellota increased its availability rate and reduced stock while growing its product portfolio
Bellota’s supply chain was challenged with increasing SKUs. To improve performance, they introduced a new KPI: availability rate. Now it needed a tool to deliver it.
Read more -
MRO provider reduces network inventory and product obsolescence while improving customer service
Amara, facing a challenging MRO environment, sought to reduce MRO inventory and stock obsolescence while improving customer service levels. These goals were achieved with the ToolsGroup solution.
Read more -
Significantly improved service while reducing inventory.
Global Energy Company wanted to start a project to improve product service levels and knew it would not be easy, that’s where we came in.
Read more
Wholesale Distribution Supply Chain Planning FAQ
Questions buyers ask about distribution planning software.
What is wholesale distribution supply chain planning software?
Wholesale distribution planning software forecasts demand, optimizes inventory, and automates replenishment across large, dispersed distribution networks. Unlike generic ERP planning, it uses range-based probabilistic forecasting built for long-tail and intermittent demand — driving to explicit service targets at the lowest total inventory.
How does it forecast long-tail and intermittent demand?
Range-based probabilistic forecasting models the full distribution of possible demand rather than a single average, so it predicts what’s predictable and prepares for the rest — setting policies for slow-moving, intermittent SKUs without ballooning safety stock.
What is multi-echelon inventory optimization (MEIO) and network rebalancing?
MEIO optimizes inventory across every tier — DCs, branches, and regional networks — as one system instead of silos. Network rebalancing then moves stock to where it’s needed, serving more demand from existing inventory before buying more.
How does it integrate with ERP systems like SAP or Microsoft Dynamics?
Decion connects through pre-built connectors and APIs for SAP, Oracle, Microsoft Dynamics, and other ERP and WMS systems. Ratioform, for example, integrated with Microsoft Dynamics AX in about six months. It runs alongside existing systems rather than replacing them.
Why not just plan inventory in our ERP?
ERP systems execute transactions; they plan with deterministic, fixed days-of-coverage logic that breaks on intermittent demand and unreliable lead times. Distribution planning software adds probabilistic forecasting, multi-echelon optimization, and service-driven replenishment on top of your ERP.
What is fair-share allocation in a shortage?
When supply is short, fair-share allocation uses AI-optimized rules to split limited stock across locations and channels based on service targets and network priorities — protecting strategic customers and regions instead of allocating informally or politically.
How does it optimize price breaks and total cost — not just unit cost?
Supplier price breaks tempt over-buying that lowers unit cost but raises total cost of ownership. Layered price-break optimization balances purchase savings against holding cost, recommending economically optimal order quantities — buying at the right break, not just the biggest.
What results do distributors see?
Results are customer-specific. Nashua reached 95% product availability and grew sales 50%; RAJA reached 98.92% service levels while cutting days of inventory 9%; Ratioform reached 97% service and recouped its software investment in under a year.
How long does it take to see results?
Results vary by operation, but distributors often see impact within months — Nashua moved stock-level analysis from monthly to daily and lifted availability within weeks. Phased rollouts can start with demand forecasting or inventory optimization, then expand.
How does it handle SKU segmentation and service levels?
Advanced service-class segmentation sets policy by behavior, margin, criticality, and demand pattern — giving every SKU the policy it deserves, not an average one. Service targets drive stocking decisions, so service is a goal rather than a byproduct.
How does it manage last-time-buy and obsolescence?
Scenario-driven lifecycle planning and cross-part substitution logic optimize phase-in/phase-out and last-time-buy decisions based on holding cost and future need — reducing obsolete stock and missed sales as product lines transition.
What is S&OP software for distribution?
S&OP software — and broader integrated business planning (IBP) — aligns demand, inventory, and financial plans on a continuous cadence. ToolsGroup generates forecasts, sets safety-stock levels, and provides replenishment feedback as the basis for monthly S&OP, with scenario simulation for risk.
Which distribution sectors use it?
Distributors across electrical and electronics, industrial and MRO, packaging and shipping supplies, office and business products, building and construction products, and apparel and consumer goods — anywhere long-tail demand meets dispersed networks and high service commitments.
Ready to Deliver Higher Service With Less Inventory?
Talk to a specialist who understands long-tail, dispersed distribution networks.