Inventory can make your business look healthier than it is.
A full warehouse may suggest strong purchasing and reliable supply. But if too much of that stock is slow-moving, obsolete, or disconnected from current demand, it is not supporting growth. It is tying up cash that could be funding hiring, equipment, marketing, debt reduction, or your next strategic move.
For owners and operators of $3 million to $10 million businesses, inventory management is no longer a warehouse-only issue. It is a core part of cash flow, customer service, forecasting, and operational excellence.
The goal is not simply to carry less stock. The goal is to hold the right inventory in the right location, at the right time, with enough visibility to protect sales without overbuying.
Why inventory becomes a growth constraint
At an earlier stage, inventory decisions are often managed through experience, spreadsheets, and informal conversations.
The owner knows which products move. The purchasing manager knows which suppliers are unreliable. The warehouse team knows which items are difficult to find. Finance knows cash is getting tighter, but may not know exactly how much is sitting in aging stock.
That model becomes fragile as the business grows.
More SKUs, customers, locations, suppliers, and sales channels create more opportunities for disconnected decisions:
- Purchasing orders based on outdated demand.
- Sales promises inventory that operations cannot locate.
- Finance sees inventory value only after month-end.
- Warehouse counts do not match the accounting system.
- High-demand items stock out while low-demand items sit untouched.
- Teams expedite shipments because reorder points are unreliable.
- Excess stock is carried at full cost without a clear disposition plan.
This is where process optimization becomes a small business growth strategy. Better inventory management is not just about reducing storage costs. It improves working capital, customer reliability, and the capacity of your team to scale without constant firefighting.
Start with visibility between finance and operations
The first step is building one trusted view of inventory.
Your team should be able to see, by SKU and location:
- On-hand, allocated, available, and backordered quantities
- Inventory value at cost
- Sales volume and gross margin
- Last sale and receipt date
- Open purchase orders
- Supplier, minimum order quantity, and lead time
- Forecast demand and reorder point
- Safety stock and service-level expectations
- Inventory age
- Stockout history and expedite costs
Finance should also be able to reconcile inventory records to the general ledger. Operations should be able to trust that the quantities shown in the system reflect what is actually available to sell or use.
This is one reason an ERP should be treated as essential infrastructure for scaling, not optional software. A connected system can bring orders, purchasing, inventory, warehouse activity, and finance into the same operating picture. As IBM explains in its overview of inventory optimization, ERP systems can provide visibility into inventory levels, sales, orders, and deliveries while automating routine activities such as purchase orders.
The technology matters, but the process matters first. If item masters are inaccurate, counts are unreliable, and teams bypass approval steps, a new system will simply make bad information move faster.

Separate excess stock from dead stock
Not all slow-moving inventory requires the same response.
Excess stock is inventory that may still sell but exceeds what you need based on demand, lead time, and service requirements.
Dead stock has little credible future demand. It may be obsolete, superseded, damaged, expired, or tied to a product or customer that no longer exists.
That distinction creates a more practical action plan.
For excess inventory, consider:
- Pausing or reducing replenishment
- Transferring stock between locations
- Reducing order quantities
- Negotiating smaller minimum order quantities
- Returning eligible goods to suppliers
- Creating targeted promotions or bundles
- Using the inventory to fulfill existing customer commitments
For dead stock, set a decision date. Options may include supplier return, rework, markdown, liquidation, donation, recycling, or write-off according to your accounting policy.
Example: a distributor with 40% of SKUs sitting idle
Imagine a distributor with 5,000 active SKUs. A review shows that 40% have not sold in the last six months. The problem is not necessarily that every one of those items should be removed. Some may be seasonal, contract-specific, or strategically important.
But carrying all of them as if they have equal value is a problem.
The distributor can rank those items by inventory dollars, margin, age, customer relevance, and future demand. It might find that a relatively small group of high-value, aging SKUs represents most of the trapped cash. That creates a focused recovery plan instead of a broad, disruptive clearance effort.
The important outcome is not simply a lower SKU count. It is clearer purchasing discipline and cash released from inventory that no longer earns its place.
Improve inventory turns without creating stockouts
Inventory turnover is calculated as:
Inventory turnover = Cost of goods sold ÷ average inventory value
A higher turnover rate generally means inventory is selling and replenishing more quickly. A lower rate may indicate that cash is sitting in stock for too long.
But there is no universal “good” turnover target. J.P. Morgan notes that the right ratio depends on industry, business model, supply chain structure, and the balance between efficiency and resilience.
A business that reduces inventory too aggressively may create stockouts, lost sales, rush freight, and damaged customer relationships.
Track inventory turns alongside:
- Days inventory outstanding
- Fill rate
- Stockout rate
- Forecast accuracy and bias
- Inventory accuracy
- Aged inventory percentage
- Gross-margin return on inventory investment
- Supplier on-time, in-full performance
- Expedite costs
- Inventory write-offs
This balanced view helps you avoid optimizing one number at the expense of the business.
Use ABC and XYZ analysis to set better priorities
Not every SKU deserves the same level of attention.
ABC analysis groups items by value or volume:
- A items: High-value or high-impact products requiring close monitoring
- B items: Moderate-value products managed through standard controls
- C items: Lower-value products where simpler policies may be appropriate
Then add XYZ analysis based on demand predictability:
- X items: Consistent, predictable demand
- Y items: Moderate variation or seasonality
- Z items: Irregular or difficult-to-predict demand
ASCM recommends combining ABC and XYZ analysis so businesses can account for both item importance and demand variation.
This creates more useful decisions:
- AX items: High-value and predictable; automate replenishment where possible.
- AZ items: High-value but volatile; require management review and explicit service-level decisions.
- CX items: Low-value and unpredictable; consider buy-to-order, supplier stocking, or discontinuation.
This approach helps protect your top movers without giving every product the same safety-stock treatment.
Fix the process behind stockouts
Reducing excess inventory is only half the job. You also need to understand why important products go out of stock.
Example: a manufacturer with stockouts on top movers
Consider a manufacturer that repeatedly runs out of its three highest-volume components. At the same time, its warehouse contains months of supply for several lower-volume items.
The issue may not be a lack of purchasing effort. It may be a broken process:
- Demand forecasts are not adjusted for known customer orders.
- Supplier lead times are based on outdated assumptions.
- Safety stock is applied evenly instead of by item importance.
- Production, purchasing, and sales use different data.
- Purchase approvals happen too slowly.
- Stockouts are recorded as zero demand, which distorts future forecasts.
A better process sets reorder points using expected demand during lead time plus an appropriate safety stock. It also reviews supplier reliability, demand variability, and the financial impact of a stockout.
The business may decide to hold more protection for a critical top mover while reducing stock for low-value, unpredictable items. That is not simply “lean inventory.” It is selective availability based on economics and customer impact.
Why this matters at $3M–$10M
At this stage, many businesses are transitioning from founder-led operations to a scalable management system.
You may be adding locations, managers, product lines, or larger customers. The business can no longer rely on one person knowing what is selling, what is late, and what should be reordered.
This is the point where operational excellence requires repeatable systems:
- Clear ownership for purchasing decisions
- Defined approval thresholds
- Standard reorder and safety-stock policies
- Regular cycle counts
- A shared finance and operations review
- Consistent SKU and supplier data
- Auditability for changes and exceptions
- Dashboards that show problems before month-end
These practices align closely with Brown Paper Analytics’ Process & Efficiency framework, which focuses on cleaner handoffs, fewer rework loops, workflow standardization, supply chain optimization, and digital workflow unification.
Inventory improvement should become part of your ongoing operating model, not a one-time cleanup project.

A practical 90-day inventory improvement plan
Days 1–30: Establish the facts
- Reconcile physical inventory to the accounting records.
- Identify duplicate SKUs and negative balances.
- Produce inventory aging by SKU and value.
- Rank the highest-value excess and dead stock.
- Review open purchase orders against current demand.
- Pause uncontrolled buying for items above policy levels.
Days 31–60: Set better policies
- Run ABC and XYZ analysis.
- Define service levels by product category.
- Recalculate reorder points and safety stock for critical items.
- Review supplier lead times and minimum order quantities.
- Establish cycle-counting frequency by inventory class.
- Create an owner and deadline for every major excess-stock action.
Days 61–90: Connect the process to the system
- Link purchasing approvals to inventory policy and cash limits.
- Create dashboards for turns, aging, stockouts, fill rate, and forecast bias.
- Establish a monthly finance, sales, operations, and purchasing review.
- Measure cash released from inventory against actual balance-sheet movement.
- Document the process so it does not depend on one person’s memory.
The goal is controlled growth
Good inventory management is not about making the warehouse look empty. It is about making every inventory dollar work harder.
The right process helps you release cash from excess stock, protect high-value products, improve forecasting, reduce manual work, and make better supply chain decisions. It also gives finance and operations a shared language for balancing customer service with working-capital discipline.
If your business is growing but inventory decisions still depend on spreadsheets, personal knowledge, and last-minute expediting, it may be time to build the system underneath the growth.
Book a discovery call with Brown Paper Analytics to request an inventory process-to-system roadmap. We’ll help identify where cash is trapped, where stockout risk is highest, and which improvements should come first.
Sources and further reading
- Brown Paper Analytics: Process & Efficiency
- IBM: What Is Inventory Optimization?
- J.P. Morgan: Managing Inventory Turnover and Excess Inventory
- ASCM: The XYZs of Inventory Management
