Inventory control manages stock accuracy within a warehouse. Inventory management determines how much stock a business should hold and when to replenish it. Distribution systems need both systems working together to prevent stock-outs, reduce excess inventory, and improve cash flow.
Small to mid-size (SMB) distributors often operate with strong inventory control processes but limited inventory management tools. Warehouse teams may execute transactions correctly, but planners lack forecasting and replenishment tools for proactive decision-making. The gap between accurate execution and proactive planning leads to missed sales, tied-up capital, and reactive ordering.
If you want to serve your business better, begin by understanding the difference between inventory control and inventory management. Although they might sound similar, they serve different business objectives.
Key takeaways
- Inventory control tracks what you have. Inventory management decides what you need.
- Accurate inventory control is required before forecasting and planning can work.
- Control without management leads to reactive decisions. Management without control leads to bad decisions.
- Forecasting and replenishment reduce stock-outs, excess inventory, and tied-up cash.
- Combining both, especially with AI, improves visibility, speed, and inventory performance.
What is inventory control?
Inventory control is the process of tracking, storing, and moving inventory within a warehouse to maintain accurate stock records and ensure efficient order fulfillment. It applies to distribution businesses that need real-time visibility into stock levels, locations, or transactions.
Inventory control systems are typically part of an enterprise resource planning (ERP) or warehouse management system (WMS). Inventory control prioritizes execution, or what happens to inventory after it arrives at the warehouse.
Another way to think about it is that inventory control is the transactional level that allows you to:
- Receive inventory
- Process stock takes
- Process inter-branch transfers
- Process inter-branch receipts
- Pick, pack, and ship stock
- Process purchase orders for supplies
- Process customer invoices for your sales
- And more
| Inventory control activities and business impact | ||
|---|---|---|
| Inventory Control Activity | What Happens | Business Impact |
| Receiving inventory | Incoming stock is recorded in the system | Prevents discrepancies between physical and recorded inventory |
| Stock counts and cycle counts | Inventory is regularly verified | Reduces shrinkage, errors, and write-offs |
| Pick, pack, and ship processes | Orders are fulfilled and dispatched | Supports on-time delivery and customer satisfaction |
| Inter-warehouse transfers | Inventory is moved between locations | Balances stock across multiple sites |
| Purchase order processing | Supplier orders are received and tracked | Improves inbound visibility and supplier coordination |
| Sales order processing | Outbound inventory is recorded | Maintains accurate stock levels after sales |
What is inventory management?
Your inventory management is the brain that processes data from your inventory control and turns it into valuable insights to help you make critical business decisions.
Inventory management includes forecasting demand, setting optimal stock levels, and planning replenishment to balance service levels and working capital. It applies to distribution businesses that need to decide what to order, when, and how much inventory to carry.
| Inventory management functions and business impact | ||
|---|---|---|
| Inventory Management Function | What Happens | Business Impact |
| Demand forecasting | Future sales are predicted using historical data and trends | Reduces stock-outs and excess inventory |
| Safety stock calculations | Buffer stock levels are set based on variability | Protects service levels during demand or supply fluctuations |
| Reorder point calculations | Triggers are set for when to reorder inventory | Prevents late or missed replenishment |
| Replenishment planning | Order quantities are recommended automatically | Optimizes purchasing decisions and reduces manual planning |
| Fill rate tracking | Service performance is measured | Identifies gaps in product availability |
| Obsolescence identification | Slow-moving or excess stock is flagged | Reduces carrying costs and frees up working capital |
Industry example: Retail inventory optimization vs. traditional inventory management method
Retail and distribution businesses that use manual inventory methods often react to demand after problems occur. Businesses using inventory optimization solutions act on data before issues impact service levels or cash flow.
One example is Sunbeam Foods, a packaged food distributor operating across multiple locations. They struggled with inconsistent stock projections, which were manually generated and based on basic information from their Sage 100 accounting system. That, paired with the practice of walking warehouse aisles to see what bins were low on inventory, established inventory ordering practices that were far from ideal.
The use of manual inventory processes left customers frustrated, and salespeople tied up in conversations about backorders and client issues. On top of that, Sunbeam Foods had low fill rates and excess, obsolete inventory that tied up warehouse space and working capital.
Once the business implemented an inventory planning platform, it automated forecasting and replenishment decisions via an ERP integration that created a seamless data flow between tools.
“Netstock has completely transformed our business,” said Brian Savage, CEO.
Just 17 months after implementing the solution, Savage reports, “a fill rate that has exceeded 99%, an increase of over 15 percentage points.”
Other results include:
- 52% drop in inventory value
- 80% reduction in excess stock
- “Remarkable improvement” in staff morale and job satisfaction
- Salespeople with more time for prospecting and closing new business
- Happier warehouse staff who don’t have to deal with excess stock taking up valuable space
Comparing inventory control vs. inventory management
Inventory control answers what’s happening now. Inventory management answers what should happen next.
The distinction matters because execution without planning leads to inefficiency, while planning without execution leads to unreliable outcomes. Distribution teams need both functions to operate efficiently and make informed decisions.
| Inventory control vs. inventory management: Key similarities and differences | ||
|---|---|---|
| Category | Inventory Control | Inventory Management |
| Primary Focus | Warehouse operations and execution | Planning and optimization |
| Core Function | Track and move inventory | Determine optimal stock levels |
| System Type | ERP or warehouse management system | Inventory planning or optimization software |
| Data Usage | Records real-time transactions | Analyzes historical and real-time data |
| Time Horizon | Present-focused | Future-focused |
| Key Question | What inventory do we have right now? | What inventory should we have? |
| Business Outcome | Accurate stock records and efficient fulfillment | Reduced excess inventory and improved availability |
How control and inventory management work together
Inventory control and inventory management work together by connecting accurate data with forward-looking decisions. Inventory control captures what is happening in the warehouse. Inventory management uses that data to determine the next steps your team needs to take.
Inventory control provides the inputs. Inventory management provides the direction.
This relationship follows a clear structure:
- Inventory control → records real-time stock movements
- Inventory management → analyzes demand and supply patterns
- Result → better replenishment decisions and reduced inventory risk
The business impact of inventory management and control
It’s great to talk about how inventory management and control can impact businesses, but what does that look like in real life? The following case studies offer real-world examples of significant benefits.
Example 1: Manufacturer reduces surplus inventory by over $2.8M
Davey Textiles, a manufacturing business with complex SKUs and long lead times, moved from spreadsheet-based planning to automated inventory optimization.
| Before Implementation | After Implementing Netstock |
| Replenishment decisions required manual calculations | Fill rate improved from 89.4% to 95% |
| Excess inventory accumulated due to poor visibility, which impacted planning | Surplus inventory reduced from $3.8M to under $1M |
| Long lead times created stock imbalances | Better planning around supplier lead times and demand variability |
| Inefficient production planning department | Full visibility of sales orders with bill of materials functionality |
Example 2: Education supplier reduces stock holding by £4.5M
A large education resources supplier, Hertz FullStop, managing more than 8,000 active SKUs, used Netstock to overcome supply chain disruption challenges. Before implementation, the business faced inventory huddles that strained operations and working capital. Teams were reactive, tied up in issue remediation rather than proactive planning.
“The busier we became, the more our service level would suffer,” said Glenn Facey, CEO. “COVID forced us to rethink everything, from stock levels to warehouse management.”
The company needed tighter control over inventory investment while maintaining service across a complex mix of direct-to-school and wholesale demand.
| Before Implementation | After Implementing Netstock |
| Inventory planning was difficult across a large SKU base | Inventory management became more structured across 8,000+ active SKUs |
| Excess stock tied up significant working capital | Stock holding was reduced by £4.5 million, and stock turns improved from 2.5 to 6+ |
| The business needed better visibility into inventory decisions at scale | The business improved control over inventory investment while supporting service requirements |
Herts FullStop used Netstock dashboards to focus efforts on high-value SKUs.
“Netstock has allowed us to align the stock we hold with actual demand. That’s freed up about a third of our warehouse space – which we can now utilise to generate new revenue streams.” – Glenn Facey
How to get control of inventory to improve stock management
Achieving results like these SMB distribution businesses have is possible when you follow a structured, step-by-step approach.
1. Standardize inventory control processes
Define consistent processes for receiving, counting, and moving inventory to ensure accurate stock records. Standardization reduces errors and improves data reliability across teams and locations.
2. Implement regular cycle counting
Cycle counting verifies inventory accuracy without disrupting operations. Frequent counts on key SKUs help identify discrepancies early and maintain confidence in inventory data.
3. Centralize inventory visibility across locations
Centralized visibility provides a single, real-time view of inventory across all locations. This improved inventory visibility across SKUs and locations helps businesses identify shortages, redistribute stock, and prevent imbalances.
4. Automate demand forecasting
Demand forecasting uses historical data and trends to predict future sales. Automation improves forecast accuracy for distribution businesses managing multiple SKUs and variable demand. The automation also reduces reliance on manual estimates.
5. Set reorder points and safety stock levels
Reorder points and safety stock define when and how much to reorder. Reorder points and safety stock thresholds help prevent stock-outs while avoiding unnecessary excess inventory.
6. Automate replenishment decisions
Automated replenishment systems generate order recommendations based on demand and stock levels. Automation reduces manual work and improves decision consistency.
7. Identify and address inventory risks early
Inventory risk monitoring highlights potential stock-outs, excess inventory, and slow-moving items before they occur. Early visibility allows businesses to act before issues impact performance.
8. Use AI-driven insights to prioritize decisions
AI inventory management tools analyze inventory data to identify risks, recommend actions, and prioritize decisions. AI helps planners respond faster to demand changes and focus on the most impactful inventory decisions.
What this process achieves
Businesses that follow this structured approach move from reactive inventory management to proactive planning. Accurate inventory control leads to reliable forecasting. Reliable forecasting enables better replenishment decisions. That equates to fewer stock-outs, lower excess inventory, and improved cash flow.
Putting it all together
Inventory control ensures that inventory data is accurate. Inventory management uses that data to plan demand and optimize stock levels. Businesses relying on only one source either react too late or make decisions based on unreliable data.
Marrying inventory control and inventory management with technology
To improve inventory management, you first need to strengthen your inventory control. Once that is automated, it’s advisable to implement a proven inventory management tool to ensure you have the right amount of product on hand, maximizing your profits and minimizing your inventory investment.
Inventory management platforms connect ERP data with forecasting and replenishment tools to turn data into actionable decisions. Netstock helps businesses automate planning, improve visibility, and respond faster to demand.
