Solving planner turnover and key-person risk with Netstock

Key-person risk in inventory planning is the exposure a business carries when one planner holds the spreadsheets, formulas, supplier knowledge and judgment calls that drive buying decisions.

If that planner leaves, goes on leave or is simply unavailable, the business cannot explain or repeat its own replenishment decisions.

The fix starts with standardizing how planning is done. From there, the planning logic needs to be visible to the whole team, and everyone needs to work from a single, consistent source of truth. Purpose-built inventory and demand planning software, such as Netstock, connects to your ERP and supports each of these steps.

Key takeaways

• Key-person risk in inventory planning occurs when one planner holds the spreadsheets, formulas, supplier knowledge and judgment calls behind buying decisions.
• When that planner leaves, reorder points and safety stock stop being reviewed. Within one or two buying cycles, this typically shows up as stock-outs on fast-moving SKUs and excess stock on slow movers.
• Homegrown AI setups built on ChatGPT exports, custom GPTs or scripts usually move the dependency to whoever wrote the prompts rather than removing it.
• Reducing the risk starts with a standardized planning process, where the logic and data are visible to the whole team in one ERP-connected system.
• Surface Art, which relied on a 20-tab spreadsheet built by its founder, cut stock-outs by 50% after moving planning onto Netstock.
• A quick test: if your business would struggle to run a buying cycle with your lead planner away for two weeks, the risk is already real.

What is key-person risk in inventory planning?

Key-person risk (also called single point of failure or “bus factor” risk) exists when critical knowledge sits with one individual and nowhere else. In inventory planning, it typically shows up as:

• A master spreadsheet that only one planner fully understands
• Reorder points and safety stock levels that were set once and never documented
• Supplier lead time adjustments that live in someone’s head
• Manual overrides to the forecast with no record of why they were made
• Macros, hidden tabs and linked files that break if anyone else edits them
• Prompts, custom GPTs or AI scripts that one planner built to clean data or suggest orders

This is common in small and mid-sized inventory-holding businesses, where one experienced planner has built the process over years. It works well until that person is not there and when the business starts adding more SKUs, locations and suppliers.

Why does spreadsheet knowledge sit with one person?

Spreadsheets are flexible, familiar and quick to build, which is exactly why they concentrate knowledge. Over time, a predictable pattern sets in:

• The workbook grows organically. Each new SKU range, supplier or exception adds another formula, tab or manual adjustment.
• Logic is embedded, not documented. The reasoning behind a number is inside a cell reference, not in a process anyone can read.
• Ownership becomes informal. Because the planner built it, only the planner maintains it, and nobody else is trained to.

None of this is a failing of the planner. It is the natural result of using a general-purpose tool for a job that needs a shared, repeatable process.

What are the risks of relying on spreadsheets for inventory planning?

When planning knowledge is held by one person, the business is exposed in several ways:

Risk	What it looks like in practice
Planner turnover	A resignation leaves the team unable to run the next buying cycle with confidence
Stock-outs	Reorder triggers are missed because nobody knows which assumptions to check
Excess stock	Orders continue on outdated parameters because nobody dares change the file
Slow onboarding	A new planner spends months reverse-engineering the workbook
Hidden errors	Formula mistakes and broken links go unnoticed because only one person reviews them
Limited scalability	The process cannot absorb more SKUs, locations or channels without more manual effort
Weak audit trail	Finance and operations cannot see why a purchase decision was made

The cost of planner turnover is rarely one dramatic failure. Reorder points and safety stock stop being reviewed, and buyers fall back on repeating last month’s order quantities. Within one or two buying cycles, that shows up as stockouts on fast-moving SKUs and excess stock on slow movers, while the team rebuilds what was lost.

Listen to Netstock’s Co-Founder and CTO talk about what happens when you rely on a single person to build out your demand plan.

What one-person dependency can cost: an illustrative example

Take a distributor with $20 million in annual revenue and $4 million in inventory. Its lead planner, who earns $75,000, resigns, and it takes three months to hire and ramp up a replacement. During that time, buyers repeat old order quantities instead of reviewing reorder points.

Cost area	Assumption	Estimated cost
Replacing the planner	0.5x annual salary, the low end of Gallup’s range	$37,500
Excess stock	Excess grows by 5% of inventory ($200,000), carried for 3 months at a 25% annual carrying cost	$12,500
Lost sales from stock-outs	1% of one quarter’s revenue	$50,000
Total cost over three months		$100,000

Disclaimer: This is a hypothetical example for illustration only. The figures are based on assumptions, not Netstock customer data, and actual costs will vary by business. 

On top of that, the extra $200,000 of excess stock stays on the balance sheet until it sells. Every figure here is conservative, and a business with a longer ramp-up or a more complex range would see higher numbers.

What key-person risk looks like in a real business

Netstock customers, Surface Art, a family-owned tile distribution company based in Seattle, ran its purchasing from a highly intricate 20-tab spreadsheet originally built by the company’s founder. The workbook held the lead times, minimum order quantities and grouping rules for 15 to 20 vendors, each with its own requirements. Only one person fully understood how it worked, and the business named that dependency on a single individual as one of its biggest operational risks.

“Before Netstock, we were classic spreadsheet warriors, working through cryptic data that delayed decision-making and exposed us to significant risks,” says Kevin Stupfel, President of Surface Art.

After moving to Netstock, Surface Art reduced stock-outs by 50% and improved fill rates by 5-10%. The logic that once lived in the founder’s workbook is now something the whole team can see and use. As the team puts it, “Netstock is a vital organ of our company, just like our sales, warehouse, and customer service teams. Without it, we’d be blind.”

Read more about their success once moving off spreadsheets.

Surface Art isn’t unusual. Adventure Operations, the premier wholesaler of outdoor leisure and industrial products, ran its planning from an Excel file of more than 2,500 SKUs that would frequently crash and could take up to a day to restore. Compiling the monthly review took close to two weeks. With Netstock, the team reduced excess inventory by over 30% in under 12 months while maintaining a 95% fill rate.

“We are confident in the data, and we trust the order recommendations that we get from Netstock. We never had confidence in our data before”, says Steve Drew, Demand Planner.

Why volatility makes key-person risk worse

Key-person risk has always existed, but today’s planning conditions raise the stakes. When lead times, costs and demand all move at once, the number of judgment calls a planner makes each week grows faster than any one person can track or document.

Netstock’s 2026 Supply Chain Planning Benchmark Report shows how much is in motion when it comes to inventory and supply chain planning:

• 74% of surveyed SMBs report supplier lead-time variability. Every one of those adjustments is a decision that may live only in a planner’s head.
• 24% of businesses surveyed say more than 10% of their inventory is dead stock, up from 12% in 2024. Outdated parameters that nobody dares to change are one way dead stock builds up.
• Only 7% of respondents met all four of the report’s inventory performance measures, which shows how hard it is to keep every part of the plan under control at once.

In steady conditions, an experienced planner’s instinct can cover the gaps in an undocumented process. When conditions keep shifting, the gaps widen, and the business needs a process that doesn’t rely on one person’s memory.

Doesn’t AI solve this? Not if it depends on one person

Many teams are now trying to get around the spreadsheet problem with AI. A planner exports ERP data into ChatGPT or another general-purpose LLM, builds a custom GPT, or writes scripts that ask an AI model to clean data and suggest order quantities. It feels like progress, but it usually moves key-person risk rather than removing it.

A homegrown AI setup tends to depend on one person in the same ways a master spreadsheet does:

• The prompts are the new formulas. The instructions that produce a forecast or an order suggestion are usually written, refined and stored by one person, often in a personal account.
• The workflow is undocumented. Which data gets exported, how it is cleaned and which steps run in which order typically live in that person’s routine.
• Only one person knows when to trust the output. General-purpose LLMs can give confident answers that are wrong. Knowing which results to check and which to override is judgment that sits with whoever built the setup.
• Results aren’t repeatable. The same question can return a different answer on a different day, so a new planner can’t easily reproduce last month’s decisions.
• Data leaves the system. Copying inventory and supplier data into outside tools creates governance gaps. Netstock’s 2026 Benchmark Report found that data integrity and security has been the top AI challenge for SMBs for three years running, rising from 23% of respondents in 2024 to 39% in 2026.

The answer isn’t to avoid AI. It is to use AI that is built into a shared planning system, so every recommendation comes from the same ERP-connected data and can be traced back to the numbers behind it. That way the intelligence belongs to the business rather than to whoever wrote the prompts.

What happens when a planner leaves: an example 90-day view

Here is how the first three months typically unfold when planning knowledge sits in one workbook, compared with a team working from a shared planning system.

	Planning in one person’s spreadsheet	Planning on a shared system
Week 1	Nobody can explain how reorder points or safety stock were set. Buyers hold off on orders or repeat last month’s quantities.	Policies, assumptions and recommendations are already visible. The next buying cycle runs as scheduled.
Month 1	Missed reorder triggers start to show up as stockouts, and defensive over-ordering adds excess elsewhere.	Exceptions are flagged automatically, so the team knows which items need a decision.
Month 3	The new hire is still reverse-engineering formulas and tracking down undocumented supplier rules.	The new hire is trained on a documented process and is planning independently.

The difference isn’t the quality of the planner. It is where the planning knowledge lives.

How do you make inventory planning less dependent on individual planners?

Reducing key-person risk does not mean removing planners’ expertise. It means moving that expertise out of one person’s file and into a shared, repeatable system. There are three practical steps.

1. Standardize the planning process

Define how planning is done so that any trained planner can pick it up. At a minimum:

• Agree on how SKUs are classified (for example, by value and demand pattern)
• Set consistent inventory policies by class, such as service level targets and review cycles
• Document the steps in a regular planning cycle, from forecast review to order approval
• Define when and how a planner may override a recommendation, and require a reason

Standardization removes the “it depends who you ask” problem. Two planners looking at the same SKU should reach the same starting point. GRPI’s Tony Mapes says, “moving from spreadsheets to Netstock required a complete shift in how we think about planning. Once we aligned our processes and cleaned up our ERP data, everything started to click, that’s when we really began to see the value.” They found $1.5M in excess stock thanks to Netstock.

2. Make planning logic visible

If the logic behind a forecast, safety stock level or order recommendation cannot be seen, it cannot be reviewed, challenged or handed over. Visible logic means:

• Calculations that are transparent rather than buried in nested formulas
• Assumptions (lead times, demand variability, service levels) stored in one place
• Overrides and exceptions that are recorded, not silent
• Recommendations that can be traced back to the data behind them

This is what turns a handover from a long knowledge transfer into a short orientation.

3. Give the team a consistent source of truth

When each planner, buyer and finance contact works from a different file, the business has several versions of reality. A single source of truth means:

• Everyone sees the same inventory, forecast and supplier data
• Data is drawn directly from the ERP rather than copied between files
• Reports and dashboards come from the same underlying numbers
• Planning, procurement, sales and finance discuss the same figures in S&OP conversations

How does Netstock reduce key-person risk?

Netstock is a purpose-built supply and demand planning solution that connects to your ERP data, with the broadest range of ERP integrations in the market, including NetSuite, Microsoft Dynamics, Acumatica, SAP and Sage. It adds planning capability on top of your ERP without replacing it, so the logic and the data no longer depend on one person’s workbook. Customers typically see ROI within weeks, with onboarding usually completed within 90 days depending on the business and its data readiness.

Here is how it supports each of the three steps.

1. Standardized processes

• Automated inventory classification and dynamic policy application apply consistent rules across the range.
• An end-to-end planning workflow runs from forecasting and policy setting through order recommendations, ERP sync and daily safety stock recalculation.

2. Visible planning logic: know where the risk is

• Forecasts, risk and recommendations are calculated daily at SKU level for every location, with recommended actions ranked by financial impact, so the team can see what needs attention and why.
• AI Opportunities (formerly Opportunity Engine) analyzes inventory data daily to identify stockouts, overstocking and supplier delays before they occur. Because it runs inside the planning platform, every planner sees the same recommendations and there are no prompts to write or maintain. More than 75% of customers have unlocked an opportunity worth $50K or more.
• Exception-based planning directs planner time to the items that need a decision, rather than relying on one person to know where to look.

3. A consistent source of truth you can trust

• ERP-connected data keeps planners, buyers and finance on the same numbers.
• Dashboards and Report Builder let stakeholders create custom .xlsx reports and executive dashboards without IT involvement, which reduces the need for personal side spreadsheets. [VERIFY with product]
• Sales and operations planning capabilities centralize inventory and demand planning, so sales forecasts, inventory, procurement, operations and finance work from one view.

Backed by scale

Netstock has focused solely on inventory and demand planning for 15 years. Today it supports 2,500 customers, manages more than $26 billion in inventory and has delivered over 1.4 million AI recommendations. Every recommendation is built on 42TB of proprietary SMB supply chain data, the largest dataset of its kind.

Customers see an average 25% reduction in stockholding, a 15% improvement in fill rates and 70% less time spent on planning and ordering. That last figure matters for key-person risk: when planning takes less time and runs on shared logic, a handover stops being a months-long rescue job.

The result is a planning function where knowledge belongs to the team and the system. A planner’s departure becomes a hiring task rather than a business continuity event.

A practical checklist: how exposed are you to key-person risk?

Answer yes or no to each statement.

• Only one person can explain how our reorder points and safety stock are calculated.
• Our main planning file would be difficult for someone else to update.
• Forecast overrides are made without a recorded reason.
• Supplier lead time knowledge is held informally.
• A new planner would need months to become effective.
• Finance and operations work from different versions of inventory numbers.
• We would struggle to run a buying cycle if our lead planner were unavailable for two weeks.
• Our planning relies on prompts, custom GPTs or AI scripts that one person set up.

Each “yes” is a sign that planning knowledge is concentrated in too few hands. Two or more is a good reason to review how planning is structured.

How to start reducing key-person risk this quarter

1. Map where the knowledge sits. List the files, formulas and judgment calls only one person understands.
2. Document the current logic. Even a rough written description of how key numbers are produced is better than none.
3. Agree on standard policies. Settle on classification, service levels and review cycles the whole team follows.
4. Move planning onto a shared system. Use ERP-connected planning software so data, logic and recommendations are visible to everyone.
5. Cross-train. Make sure at least two people can run each part of the planning cycle.

Make planning a team capability

Your planners’ experience is valuable. The goal is to make sure it strengthens a shared process instead of sitting in one workbook, so the business keeps its planning knowledge to whoever is at the desk.