Most inventory planners hit the same moment. A stock-out lands on a Friday, or a spreadsheet formula breaks, and someone says, “Let’s just ask ChatGPT.” It works. The answer is quick, the explanation is clear, and for a while it feels like a free software upgrade.
Then the business grows, and the conditions you plan against keep moving. Netstock’s 2026 Supply Chain Planning Benchmark Report found that lead-time variability affects 74% of SMBs. A chat answer reflects the data you pasted in on the day you asked, so every shift in supplier timing means repeating the exercise. The workaround that saved an afternoon starts to cost a week. You may have outgrown your AI workaround if you cannot get the same answer twice, every analysis starts with an ERP export, or one person is the only one who knows how it works.
The 10 questions below help you assess the process in about five minutes. They also help identify when a dedicated planning layer, such as Netstock’s supply and demand planning software, could be a better fit alongside your existing ERP.
Key takeaways
- General AI assistants can help explain concepts, draft communications and support one-off analysis. They are not a complete inventory planning process.
- Warning signs include inconsistent results, manual data refreshes, limited scale, weak traceability, execution gaps, data governance concerns and reliance on one person.
- Score yourself on the 10 questions. Seven or more points means your workaround may have become a business risk.
- In many cases, the next step is inventory and demand planning software that integrates with your ERP rather than replacing it.
What counts as an “AI workaround”?
An AI workaround is any routine where you export data from your ERP or accounting system, paste or upload it into a general tool such as ChatGPT, Microsoft Copilot in Excel or a similar chatbot, and use the answer to decide what to order, how much safety stock to hold or where to move inventory.
It’s common because it’s easy. There’s no project, no budget request and little training. For businesses with a small SKU count and a single warehouse, it can be a sensible starting point for analysis or drafting.
The challenge is that the workaround sits outside your planning process. It does not automatically maintain your planning history, know when supplier lead times or demand patterns change, or carry approved decisions into your ERP. Useful output still depends on someone repeating manual steps correctly.
A purpose-built inventory and demand planning solution like Netstock connects to ERP data and provides AI-driven forecasting, inventory optimization and replenishment recommendations within a dedicated planning workflow.
The 10-question checklist
Answer each question “yes” or “no” based on how your team works today. Be honest about what actually happens, not what should happen.
1. If you ask the same question twice, do you get the same answer?
Planning decisions need to be repeatable. General AI tools can return different forecasts or safety stock figures from the same data on different runs, depending on how the question is worded and how the data is presented. If two planners can ask the same question and get different numbers, you do not have a consistent method.
Warning sign: You re-run the question until the answer looks right.
2. Does every analysis start with a manual export?
If someone has to pull a report from the ERP, clean it and paste it in before anything useful happens, the analysis may already be out of date when it starts. Manual refreshes also mean the process only happens when someone has time.
Warning sign: Nobody can say when the data was last refreshed.
3. Can it cover every SKU and every location?
Chat tools have limits on how much data they can handle at once. Teams may work around this by analyzing a sample, a top-20 list or one warehouse. That leaves the long tail of products and smaller locations less visible, even though they can also carry stock-out and excess inventory risks.
Dedicated inventory optimization software is designed to help teams review inventory across SKUs and locations and identify items that need attention.
Warning sign: You analyze “the important items” and hope the rest looks after itself.
4. Can you explain how a number was calculated?
A reorder point or safety stock figure should come with a method you can explain to your CFO or supplier. That means known inputs such as demand history, lead time and variability, service-level targets, and a consistent calculation. An AI answer that says “I recommend 450 units” without a verifiable method is hard to audit and harder to trust when it’s wrong. See Netstock’s guide on forecast accountability and audit trails.
Warning sign: Your explanation is “the AI suggested it.”
5. Does it update when lead times and demand change?
Supplier’s slip and demand shifts. A safety stock level that was right in March may be wrong in September. A snapshot answer does not know anything has changed unless someone repeats the exercise. Effective inventory forecasting and planning processes use updated data to help teams respond to changing demand and supply conditions.
Warning sign: Your safety stock levels have not changed in months, but your suppliers and customers have.
6. Does it tell you what to work on first?
Planners do not have time to review every SKU every day at every location. They need to see which items require attention, prioritized by impact. A chat answer lists what you asked about. It does not necessarily scan the full range to surface issues you did not think to ask about.
Netstock’s inventory ordering capabilities provide a prioritized view of orders and items that need attention.
Warning sign: You find out about a stock-out from a customer, not from your planning solution.
7. Do approved decisions get into the ERP without retyping?
An answer in a chat window does not create a purchase order or transfer. Someone has to take the number and key it in. Retyping is slow, and every manual step creates another opportunity for error.
Netstock can send order information back to the connected ERP, which remains the system of record.
Warning sign: Your planning process ends with copy and paste.
8. Are you comfortable with where your data is going?
Uploading ERP exports to a general chatbot may expose supplier names, costs, customer demand and margins outside your business systems. Check your company policy and the tool’s data terms. Your IT or finance team may not have approved the practice, leaving the planner to carry the risk.
For any planning tool, ask how your data is accessed, stored, processed and protected.
Warning sign: You would not want your IT director to see what you uploaded last week.
9. What happens if the person who built it leaves?
Workarounds can live in one person’s head, one set of prompts and one personal spreadsheet. If that planner is sick, on leave or moves on, the process may go with them. Business continuity requires a process that another team member can pick up. Learn more about the hidden maintenance costs of custom AI tools.
Warning sign: Only one person knows which prompt to use and which cells to change.
10. Is the effort growing faster than the business?
Track the hours your team spends on planning each month. If time spent rises as you add SKUs, suppliers or locations, the workaround may not scale. If you have been telling yourself you will fix it after the busy season, and the busy season keeps getting longer, that’s your answer.
Warning sign: You are considering hiring another planner just to run the same manual process.
Score yourself
Count your “no” answers to questions 1, 3, 4, 5, 6, 7 and 8, and your “yes” answers to questions 2, 9 and 10. Each one is a point.
| Score | What it means | What to do |
| 0 to 3 | The workaround is working for your size | Keep using it for analysis and drafting. Review again in six months, or when SKUs, locations or suppliers grow. |
| 4 to 6 | You are at the edge | Write down your biggest two risks. Start comparing planning software and ask what it would take to connect to your ERP. |
| 7 to 10 | You have outgrown it | The workaround may now be a business risk. Start a planning software evaluation this quarter. |
What to do if you have outgrown it
The answer is rarely “replace everything.” You already have an ERP or accounting system, and it holds the data that matters. What may be missing is a planning layer on top of it.
Look for software that:
- Connects to your ERP and imports data automatically, reducing reliance on manual exports.
- Works at SKU and location level across your range, not just a sample.
- Recalculates forecasts, safety stock and reorder recommendations as demand and supply conditions change.
- Prioritizes by impact, so planners can focus on exceptions rather than scanning every line.
- Returns approved order information to the ERP, which remains your system of record.
- Supports data governance, with clear access controls and documented data practices.
- Makes its recommendations explainable, so your team can understand the inputs and rationale.
None of this means dropping AI. A general AI assistant can still be useful for explaining a concept, drafting an email or sense-checking a formula. The shift is to use it as a helper beside a planning system, rather than as the planning system itself.
Where Netstock fits
Netstock is a cloud-based supply and demand planning solution for small and mid-sized businesses. It is not an ERP. It works alongside the ERP a business already uses, turning its raw data, including sales history, inventory levels and supplier lead times, into demand forecasts, inventory insights and actionable planning recommendations. It helps planners identify stock-out risks, excess inventory and changing demand patterns, while AI-powered insights highlight where attention is needed most. This enables SMBs to make better-informed purchasing decisions, improve product availability and optimize inventory levels without replacing their existing ERP.
Netstock’s capabilities include:
- ERP connectivity: Netstock integrates with leading ERP systems, including Sage, NetSuite, Microsoft Dynamics, SAP Business One, Acumatica, MYOB, Cin7 Core, SYSPRO and Unleashed.
- Inventory forecasting: Forecasting tools account for patterns such as seasonality and trends, with forecasting models selected at item level.
- Inventory optimization: Netstock helps classify inventory and adjust safety stock based on risk, supporting decisions around stockouts and excess inventory.
- Prioritized replenishment: It generates recommended orders and provides a focused view of items that need action.
- Supplier performance insights: Netstock can analyze supplier data, adjust safety stock based on supplier risk, flag underperforming suppliers and help draft communications for late or at-risk orders.
- ERP remains the system of record: Order information can flow back to the ERP, helping teams reduce manual re-entry while retaining their existing transaction system.
Netstock’s AI supports planners by analyzing inventory data across all locations to identify risks and opportunities that might otherwise go unnoticed. Through AI Opportunities, it highlights where businesses could prevent stock-outs, reduce excess inventory and capture additional sales. It helps planners focus on the issues with the greatest potential impact, turning complex inventory data into practical, actionable recommendations. Planners can then review these insights and decide which actions to take, applying their own knowledge of the business to make informed inventory decisions.
“AI Opportunities give me instant visibility into the exceptions that matter most. I can’t monitor every item at every location, so having a tool that pinpoints problems and helps us resolve them in just 10 minutes a day is incredibly valuable.” – Furnmart
