Netstock alternatives and demand forecasting for Xero and MYOB users

If you run inventory on Xero or MYOB, you have almost certainly bumped into Netstock. It is one of the better-known demand-planning add-ons in the ANZ market - a tool that bolts onto your accounting or inventory system, reads your sales history, and tells you what to order, when, and in what quantity. It does that job well. But it is not the only way to solve the problem, and for a lot of Australian operators it is not even the cheapest or simplest one.

This post is about what demand planning genuinely does, the realistic alternatives if you are shopping around, and where a built-in reordering engine like OpsUI's fits versus a dedicated specialist tool. No vendor cheerleading - just the trade-offs.

What demand planning software actually does

Strip away the dashboards and demand planning comes down to three connected jobs. Get these right and you stop both stocking out on your best sellers and tying up cash in slow movers.

• Forecasting: project future demand per SKU from sales history, usually with some allowance for trend and seasonality. A good forecast separates a genuine upward trend from a one-off spike.
• Safety stock: the buffer you hold to absorb demand variability and supplier lead-time variability. Set it too low and you stock out; too high and you bankroll dead inventory.
• Reorder points and order quantities: the trigger level that says 'order now', and the suggested quantity that balances holding cost against the cost of ordering too often.

Netstock layers a clean interface and inventory classification (your A/B/C items, your movers versus your duds) over those three jobs, then writes suggested purchase orders back into your system. That classification is the real value - it tells you where to spend your attention.

The catch is that every one of these calculations is only as good as the data feeding it. Garbage lead times in, garbage reorder points out. That is true of Netstock, of OpsUI, and of every tool in this category - so fixing your master data is step one regardless of which route you choose.

Where Netstock sits - and why people look for an alternative

Netstock is a planning layer, not an operations system. It sits on top of Xero, MYOB, Cin7, Unleashed, QuickBooks and similar, pulls data out, runs its forecasting and classification, and pushes recommendations back. That architecture is its strength and its limit at the same time.

Strength: you keep your existing finance and inventory stack and add forecasting brains on top. Nothing rips and replaces.

Limit: it only knows what your underlying system tells it. If your stock-on-hand is wrong because your warehouse process is loose, the forecast inherits that error. Netstock plans; it does not run your receiving, picking or stocktake.

Why ANZ operators go looking for an alternative

Netstock is a genuinely capable tool, so when operators start shopping around it is usually for one of a few practical reasons rather than because the forecasting is bad. The common ones are fairly consistent:

• Cost: per-SKU or tiered subscription pricing that climbs as the catalogue grows, on top of whatever the underlying inventory system already costs.
• Tool sprawl: planning lives in one app, inventory in another, finance in a third, and the warehouse team works in a fourth. Every seam is a place data drifts.
• Data-quality limits: a planner cannot fix counts it cannot see. If the operations layer underneath is weak, the planning layer is polishing bad numbers.
• They want planning baked into the system that runs the warehouse, not a separate login.

The three honest alternative routes

If you decide Netstock is not the fit, you are really choosing between three approaches. None is universally right.

Route 1: a different dedicated planning add-on

There are other specialist forecasting tools in the same shape as Netstock - StreamLine, Inventory Planner, the planning modules inside Cin7 or Unleashed, even a well-built spreadsheet for a small catalogue. This route makes sense when forecasting sophistication is your core problem: complex seasonality, promotional uplift modelling, multi-echelon networks, or hundreds of suppliers with messy lead times. A purpose-built planner with deep statistical models will out-forecast a general-purpose system, and you should be honest about that.

Route 2: use what your inventory system already has

Cin7, Unleashed and a few others ship basic reorder-point and minimum-stock features. For a stable catalogue with predictable demand, the simple min/max reorder logic already in your system may be all you need - and you are paying for it anyway. The trap is treating a static reorder point as a forecast; it is not. A fixed min/max does not adapt to a trend or a seasonal swing, so it works until your demand pattern moves.

Route 3: consolidate planning into your operations layer

Instead of a planner reading from a separate inventory system, run inventory and reordering in the same system that runs your warehouse - so the reorder point is calculated against live, accurate on-hand and live receiving data, not a nightly export. This is the route that removes the data-drift seam entirely, and it is the one OpsUI is built around. It wins when your real bottleneck is data accuracy rather than forecasting maths.

Fix the data before you pick a tool

Whichever route you take, the single biggest lever on planning quality is not the software - it is the quality of the numbers underneath. Three inputs decide whether any reorder point is trustworthy:

• Stock-on-hand accuracy: if your recorded quantity does not match the shelf, every reorder suggestion is wrong by exactly that gap. Regular cycle counting beats a once-a-year stocktake here.
• Supplier lead times: planning tools assume the lead time you give them is real. Stale or guessed lead times quietly inflate or starve every safety-stock buffer.
• Clean sales history: returns, sample-outs and one-off bulk orders left in the demand history teach the forecast the wrong pattern.

Get those three right and a modest tool produces good plans. Get them wrong and the most sophisticated forecasting engine on the market produces confident nonsense. So before you compare a Netstock alternative on features, be honest about whether your problem is the planning maths or the data feeding it - the answer usually decides the route for you.

How OpsUI fits

Built-in reordering only beats a bolt-on planner when the reorder maths runs on numbers you can actually trust - which is exactly the gap OpsUI is built to close. Inventory, reordering and forecasting live in the same system that runs receiving, picking, stocktake and orders, so the numbers the reorder engine reads are the numbers your warehouse is actually working to, updated as stock moves rather than synced overnight.

Concretely, the inventory-management module tracks live stock-on-hand by location and bin. Reorder points and safety-stock buffers are calculated against that live position and your recorded supplier lead times, so a suggestion reflects what is genuinely available to promise, not a stale snapshot. Cycle-counting keeps that on-hand figure honest in the background, which matters more than any forecasting model - because the most sophisticated forecast in the world still fails if it is multiplying against the wrong stock count.

For the forecasting and classification side - trend, seasonality, demand-variability modelling and A/B/C-style prioritisation - the ml-ai-predictions module is where that lives, working off the same clean transactional history rather than an exported copy of it. The business-rules-engine then lets you encode the policies a generic planner forces into one mould: different safety-stock rules for fast movers versus long-lead imports, supplier-specific minimum order quantities, or hold-and-review thresholds for high-value SKUs.

Here is the fair part. If demand forecasting is the single hardest problem in your business - deep seasonality, heavy promotional modelling, a multi-warehouse replenishment network - a dedicated planner that does nothing but forecasting may still model it better than an operations platform with built-in planning, and you should weigh that honestly. OpsUI's advantage is not out-forecasting a specialist on raw statistics; it is that the planning runs on accurate, live data with no integration seam, and it is one fewer system, login and subscription to manage. For most ANZ operators whose real pain is inaccurate stock and tool sprawl rather than forecast precision, that trade is the right one.

And you do not have to move your ledger to get it. Keep Xero, MYOB or NetSuite for the books and run OpsUI as the operations and planning layer underneath - bidirectional NetSuite sync is live in production today, while Xero and MYOB sync is wired during rollout through the finance-accounting module. Flat modular pricing from A$399/module/mo - full breakdown at /pricing.

If you want to pressure-test the maths before committing to anything, our /tools/reorder-point-calculator-au runs the reorder-point and safety-stock formula on your own numbers in a couple of minutes. For the wider picture of running materials planning off your accounting system, /blog/mrp-software-for-xero-au covers how MRP-style logic works for Xero shops. When you are ready to see live reordering against real warehouse data, book a walkthrough at /book-demo.