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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 - delivering higher service with less inventory across large, dispersed B2B distribution networks, even when demand is intermittent and the cost of a stockout is high.

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Real Results from Distribution Leaders

98.92%
Service levels
Raja / Raja Pack Italia



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+50%
Growth in sales
Nashua



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+30%
Product line (70% long-tail), no added stock
Gruppo Giovannini



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In distribution, your margin is trapped in inventory - most of it in the long tail.

Wholesale distribution supply chain planning software that helps distributors forecast demand, optimize inventory, manage replenishment, and balance service levels across warehouses, branches, and distribution networks while reducing working capital requirements.

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. It continuously steers service, cost, and margin toward your financial targets, helping distributors improve product availability, reduce excess inventory, lower carrying costs, and deliver higher service levels with less inventory.

What Wholesale Distribution Optimization Delivers

99%+
Service levels
across complex distribution networks
Up to 30%
Inventory reduction
across multi-echelon networks
Up to 30%
Less lost sales
reduction in lost sales, even during promotions
Up to 60%
Less expedited shipments
reduction in premium freight and expediting

Trusted by Wholesale Distributors Across Electrical & Electronics, Packaging, Industrial & MRO, and Office Products

Why Traditional Planning Breaks in Distribution

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.

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.

Unreliable supplier lead times

Suppliers deliver inconsistently, with long, unreliable, and shifting lead times that make every stock position fragile.

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.

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

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.

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.

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.

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.

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.

Service-driven replenishment

Automated, service-based replenishment tuned to uptime and SLA targets - keeping critical SKUs available without holding excess across the network.

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
01Single forecast
02Fixed days of coverage
Overstock + stockouts
Probabilistic planning
01Range of demand
02Service target
03Optimal inventory
Higher service + lower inventory

Named a Leader in the IDC MarketScape for supply chain planning

ToolsGroup is positioned as a Leader in the IDC MarketScape: Worldwide Supply Chain Planning for Spare Parts/MRO Industries 2024 Vendor Assessment - ranked #1 in current capabilities, with IDC recommending it for companies with large SKU portfolios and complex distribution networks.

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:

Electrical & electronics distribution

Components and electrical-equipment distributors managing huge catalogs, long-tail SKUs, and dispersed branch networks.

Industrial, MRO & fluid systems

Industrial and maintenance distributors planning hundreds of thousands of item-location combinations against OEM and contractor demand.

Packaging & shipping supplies

Multichannel packaging distributors balancing long-tail availability, seasonality, and fast 24–48h delivery promises.

Office & business products

Office-automation and business-supply distributors automating replenishment across central warehouses and dealer franchises.

Building & construction products

Construction and building-product distributors managing seasonal demand, project spikes, and wide regional networks.

Apparel & consumer goods

Apparel and consumer-goods distributors handling strong seasonality, fashion change, and multi-channel fulfillment.

Distribution Leaders in Their Words

“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.”

– Matthew Fuller, Inventory Planner, Harrington

“The results we've achieved with ToolsGroup have made Rajapack Italia a benchmark for the group's subsidiaries in replenishment management.”

– Lorenza Zanardi, General Manager, RAJA Italy

“ToolsGroup automated our manual replenishment process by providing accurate and easy-to-use replenishment mechanisms for the buying department.”

– Kathy Allan, Logistics Manager, Nashua

Wholesale Distribution Supply Chain Planning FAQ

Still evaluating distribution planning software? These are the questions supply chain leaders ask most often.

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.