APS Solutions: A Practical Guide for Australian Businesses
Most Australian planning teams are running a business worth hundreds of millions of dollars on spreadsheets that one person understands. The demand forecast lives in one file, the production plan in another, and the inventory targets in a third that was last reviewed when the previous planning manager left. Every Monday the planners spend the morning rebuilding the picture of what is coming in, what is going out and what is sitting in the warehouse. Only then do they get to the part of the job that creates value: deciding what to do about it.
Advanced planning and scheduling (APS) solutions exist to fix that. Interest in them is high right now, and for good reason. But the market is confusing, the vendor claims are loud, and the failure rate is higher than anyone selling software will admit. This guide explains what APS solutions are, when an Australian business needs one, how to choose, and why so many implementations deliver a fraction of what the business case promised.
What is an APS solution?
An advanced planning and scheduling (APS) solution is software that decides what to buy, make, move and hold across a supply chain by modelling demand, supply, capacity and inventory together, and recommending a plan that balances cost against service.
That sentence hides a lot, so here is the plain version. Your ERP (SAP, Oracle, Microsoft Dynamics, NetSuite, Pronto, whatever you run) records what has happened: orders taken, stock received, invoices raised. Most ERPs include a planning engine, usually some form of MRP, that works backwards from demand and lead times to generate purchase and production proposals. MRP assumes capacity is infinite, lead times are fixed and the forecast is right. None of those things is true in any real supply chain.
An APS sits on top of the ERP, takes its data, and does the thinking the ERP cannot. It forecasts demand statistically and lets people adjust it with what they know. It sets inventory targets by item and by location based on service goals and demand variability, rather than a flat “four weeks of cover” for everything. It builds supply and distribution plans that respect real constraints: supplier capacity, shelf life, minimum order quantities, container fill, truck schedules. In manufacturing, it sequences production against finite capacity so the schedule is one the factory can actually run. And it brings all of that into a monthly sales and operations planning (S&OP) process where sales, operations and finance agree on one plan in one set of numbers.
Most APS solutions are modular. A business might buy demand planning and inventory optimisation first and add production scheduling or S&OP later. The labels vary by vendor (supply chain planning, integrated business planning, digital planning platform) but the job is the same: better decisions about demand, supply and inventory, made faster, with fewer people and less heroics.
Why APS solutions are back on the agenda in Australia
Three things are driving the current wave of interest, and a fourth is specific to this country.
The spreadsheet model has run out of road. McKinsey research found that close to three quarters of supply chain functions rely on spreadsheets, the simplest method available, and that more than half of those polled were still running SAP APO, a planning application introduced in 1998. It is not just a large-company problem. A CEL Consulting study found planners spend an average of 41 per cent of their planning time on data preparation, and 67 per cent of companies were dissatisfied with their current planning tools. Closer to home, the AFGC and Argon & Co supply chain survey of Australian food and grocery manufacturers, published in March 2025, found 55 per cent were using unsophisticated systems in the planning space, and that ERPs and advanced planning systems were the top planned technology investments over the following three years. Australian supply chain leaders know the gap exists. The Prological Supply Chain Pulse Check Survey 2026, which polled more than 200 Australian professionals, found 55 per cent cited cost reduction as a top priority while only 9 per cent reported high visibility across their operations. You cannot reduce cost in a supply chain you cannot see. news.lokad.com +3
SAP APO is being switched off. SAP’s mainstream maintenance for APO ends on 31 December 2027, and extending support beyond that date adds a premium to the maintenance cost and requires a commitment to buy S/4HANA. A large share of Australia’s biggest manufacturers, retailers and distributors run APO for demand planning, supply network planning or detailed scheduling. The default answer is to move to SAP IBP, but IBP is not a one-for-one swap for APO: it runs on a different data model and architecture, and detailed production scheduling (PP/DS) does not move to IBP at all but to S/4HANA, which can turn a planning migration into a parallel ERP project. A typical enterprise planning migration takes 12 to 24 months from selection to rollout. Any Australian business still on APO that has not made a decision by the first half of 2027 will be running unsupported planning software, whether it meant to or not. SAP APO Is Sunsetting in 2027: What to Know Before Choosing SAP IBP +2
The market has matured. For years supply chain planning software was built for global enterprises with global budgets. That has changed. Cloud deployment and subscription pricing have brought the entry point down to where a $150 million distributor or a $400 million food manufacturer can justify it. Machine-learning forecasting is now standard rather than a premium feature. And the analyst community has recognised that one size no longer fits all: in March 2026 Gartner published its first-ever Magic Quadrant for Supply Chain Planning Solutions for discrete industries, alongside a separate report for process industries. When analysts split a category in two, it means the products have become specialised enough that a dairy processor and an equipment manufacturer should be looking at different shortlists. toolsgroupgartner
The Australian problem is distance and concentration. An Australian supply chain carries more inventory per dollar of sales than its European or American equivalent, and that is not a planning failure, it is geography. Inbound lead times from Asia and Europe run to eight or twelve weeks. Domestic freight legs are long and the east-west corridor is fragile. Customer concentration is extreme: in grocery, hardware, pharmacy and liquor, two or three customers can represent most of a supplier’s volume, and their promotional calendars drive demand swings that no statistical forecast will catch on its own. Under those conditions, forecast error turns into cost faster than almost anywhere else in the world. Either you hold expensive stock to cover it, or you air freight and expedite your way out of trouble. Both show up in the P&L. An APS does not shorten the ocean leg, but it does mean you place the right order, for the right quantity, before the ship sails.
Ai Group’s Australian Industry Outlook 2026 found industry leaders expecting another mediocre year, with a strongly positive outlook for technology investment. That combination, flat revenue and a willingness to spend on technology, is exactly when planning investment makes sense. When growth is not going to fix your margin, your inventory and your service have to. australianindustrygroup
Do you actually need an APS solution?
Not every business does. The most useful thing a consultant can tell a client is sometimes “not yet”. Here are the signs that point each way.
Signs you need one
Your planners spend more time assembling data than making decisions. If the weekly planning cycle starts with three days of downloads, lookups and reconciliation, you are paying senior people to be a data pipeline.
Service and inventory are both wrong at the same time. The classic symptom: stockouts on your A items while slow movers pile up in the back of the warehouse. That pattern means your inventory policy is uniform across items that behave completely differently. A flat weeks-of-cover rule cannot fix it. Segmented, variability-based targets can.
Nobody can answer “what happens if” in less than a week. A tariff change, a supplier going down, a customer bringing a promotion forward, a new distribution centre: if each of those takes a fortnight of spreadsheet work to evaluate, you are making those decisions late or by instinct. The AFGC survey found 21 per cent of Australian food and grocery companies had no formal risk planning or scenario analysis for supply chain disruptions, and another 14 per cent were still developing it. packagingnews
Planning depends on individuals. If one person leaving would take the forecast logic with them, the business is carrying a risk it has not priced.
Expediting is routine. Air freight, overtime, split deliveries and changeover-heavy production runs are each a symptom of planning that did not see the problem early enough to solve it cheaply.
The S&OP meeting argues about whose numbers are right instead of what to do. When sales, operations and finance each walk in with a different version of demand, the meeting spends its time on reconciliation rather than decisions. One system, one set of numbers, is what fixes that.
Signs you don’t, or not yet
Your range is small and your demand is stable. A few hundred SKUs, one site and predictable customers can be planned well in a properly configured ERP with a disciplined process. The money is better spent on configuring MRP properly and training the people who use it.
Your master data is poor. Lead times that have not been updated since go-live, minimum order quantities that are wrong, bills of materials that do not match what the factory makes, routings nobody trusts. An APS fed with that data will produce confident nonsense at scale. Fix the data first. You will need to do it for the APS anyway, and in the meantime the ERP’s own planning will improve.
There is no planning process to automate. If nobody owns the forecast, there is no S&OP, and purchasing decisions are made by whoever shouts loudest, software will not fix it. The tool amplifies the process you have. A bad process in a good tool is a bad process that runs faster.
What APS solutions actually do
It helps to think about an APS not as a list of modules but as a set of decisions it improves. Here are the ones that matter.
Demand planning: how much, where, and when
The system builds a statistical baseline forecast from cleaned sales history, strips out the effect of past promotions and stockouts so they do not pollute the baseline, and then layers on the inputs people have that the algorithm does not: a new listing with a major retailer, a competitor exiting a category, a promotion moving from June to May. Good tools track forecast value added (FVA), which measures whether each human adjustment made the forecast better or worse. That single measure changes behaviour more than any amount of training. When a sales team sees that its overrides have been making the forecast worse for six months, the overrides stop.
The honest position on accuracy is this: a statistical forecast will beat a human on most of the range, and a human will beat the statistics on the small number of items where something has changed. The system’s job is to tell them apart.
Inventory optimisation: what to hold, and where
This is where most of the money is for Australian distributors and retailers. The system calculates the inventory each item needs at each location to hit a defined service level, given its demand variability, supply variability and lead time. High-value, stable items get tight targets. Erratic, low-value items get looser ones or a different fulfilment model. Multi-echelon tools go further and decide how much to hold centrally versus in regional distribution centres, which is a real question in a country where Perth is four days by road from Melbourne.
Vendors and consultancies regularly cite inventory reductions in the range of 10 to 30 per cent from this kind of work. In our experience the number depends almost entirely on the starting point: a business that has never defined service targets by segment will see a large reduction, while a business that already runs disciplined inventory policy will see a smaller one but a better service outcome for the same stock. The number to put in your business case is the one you can derive from your own data, not the one in the brochure.
Supply and distribution planning: what to order, from whom, and how to ship
Given the forecast and the inventory targets, the system generates purchase and transfer proposals that respect how supply actually works. Supplier lead times and capacity. Minimum order quantities and price breaks. Container and pallet fill. Shelf life and best-before windows. Truck departure schedules between your distribution centres. The output is an order book that a buyer can review by exception rather than build from scratch, and a replenishment plan between sites that does not strand stock in the wrong state.
Production planning and scheduling: what to make, in what order, on which line
This is the “scheduling” in APS, and it is where manufacturers get their value. Finite-capacity scheduling sequences work against the real constraints of the plant: line capacity, changeover times between products, labour availability, tooling, and in process industries, campaign lengths, yield variability and shelf life. The difference from MRP is not subtle. MRP will happily schedule 140 hours of work onto a 120-hour week and tell you nothing. A finite scheduler will tell you what will be late, give you the options, and show the cost of each.
For Australian food, beverage and dairy manufacturers, the process-industry capabilities matter: allergen sequencing, clean-in-place windows, tank and silo constraints. For discrete manufacturers and fabricators, it is component availability and multi-level bills of materials. Make sure the tool you are evaluating is built for your type of manufacturing. This is exactly why Gartner now assesses the two separately.
Sales and operations planning: one plan, one set of numbers
An APS makes S&OP possible at scale by giving sales, operations and finance the same view of demand, supply and inventory, and by letting the meeting run scenarios live rather than taking them away for two weeks. What it cannot do is create the discipline. S&OP is a management process, not a module. If the executive team does not turn up, does not make decisions and does not hold people to the plan, the software is an expensive reporting layer. We have seen excellent S&OP run from a well-structured spreadsheet and dreadful S&OP run from a $2 million platform. The tool is the enabler, not the process.
Scenario planning: what if
Modern platforms let a planner change an assumption (a supplier is out for six weeks, a tariff adds 15 per cent to landed cost, a major customer brings forward a promotion) and see the effect on service, inventory and margin in minutes. This is the capability Australian businesses most consistently lack and most consistently regret not having when the next disruption arrives. The last five years have delivered a pandemic, a shipping crisis, floods that cut the east-west rail line, and tariff shocks. The next five will deliver something else.
How the APS market is organised
The market is crowded, and the vendor names mean little until you understand the three broad groups.
ERP vendors’ planning suites. SAP IBP, Oracle Supply Chain Planning and Microsoft Dynamics 365 Supply Chain Management sit here. The appeal is integration and one vendor relationship. The trade-off is that the roadmap is the vendor’s, not yours, and the suites are typically built for the vendor’s largest global customers. For SAP shops specifically, the APO to IBP path deserves hard scrutiny rather than a default yes. The migration is a rebuild. Treat it as a chance to redesign how you plan, or do not do it at all.
Large best-of-breed platforms. Kinaxis, o9 Solutions, Blue Yonder, OMP and Anaplan (as a connected planning platform rather than a pure APS) are the names that dominate the global enterprise segment. They are deep, fast at scenarios and increasingly built around AI. They are also expensive, and implementations are long. For an Australian business turning over less than a billion dollars, they can be more platform than you need and more implementation than you can staff.
Specialist and mid-market platforms. ToolsGroup, GAINS, RELEX (particularly in retail and consumer goods), Arkieva, AIMMS, Slimstock and Netstock, among others. These tend to be strong in demand planning and inventory optimisation, faster to implement, and priced for businesses in the $100 million to $2 billion range. Scope is narrower, so check scheduling depth if you are a manufacturer. Trace has worked hands-on with GAINS on fabrication planning for a large Australian distributor, and we rate it where a business wants inventory optimisation and supply planning producing results in months rather than years. We are open about that preference, and we will tell you when it is not the right fit.
Two pieces of advice for reading this market. First, read both of the 2026 Gartner reports if you are a manufacturer, because the vendors that suit process industries and discrete industries differ. Second, every vendor now claims AI. Ask what it does in practice: probabilistic forecasting, automated exception detection, a planning assistant that explains why the system recommended an order. Then ask to see it on your data, not the demo dataset.
Why most APS implementations under-deliver
Our view, after a lot of years around these projects, is that APS implementations fail for business reasons far more often than technical ones. These are the patterns.
Over-scoping. SAPinsider’s reporting on IBP implementations identifies over-scoping as the top cause of failure: teams roll out more than they can realistically adopt and end up with a system more sophisticated than their process maturity supports. The same is true across every vendor. Buy the whole suite, switch everything on, adopt none of it. arkieva
Rebuilding the old logic in the new tool. The spreadsheet had a rule that added 20 per cent to every forecast for a major customer, so the APS gets the same rule. The APO macro was convoluted, so the IBP configuration replicates it. The business pays for a new engine and keeps driving the old way.
Master data was worse than anyone admitted. Lead times, minimum order quantities, bills of materials, production versions, calendars, shelf-life parameters. Master data readiness is a widely underestimated risk, and gaps in production versions and material data are a repeat cause of project delay. The data clean-up should be the first workstream, not the one that starts when testing fails. arkieva
Planners do not trust the output. If the forecast is a black box and nobody has explained why it moved, planners override it. Override rates above 50 per cent mean you have bought a very expensive spreadsheet. Forecast value added, exception-based review and training that explains the maths in plain language are what fix this.
Nobody owns the process. The system goes live, the project team leaves, and nobody is accountable for forecast accuracy, inventory targets or the S&OP calendar. Within a year the parameters are stale and the business is back on spreadsheets with the APS running in the background.
Integration was underestimated. The APS needs clean, timely feeds from the ERP, the warehouse management system, point of sale, supplier portals and sometimes customers’ systems. Batch integration that runs overnight means the plan is always a day old. Agree the integration design before you sign.
Benefits were never measured. No baseline was set before the project, so nobody can say whether inventory went down or service went up. If you cannot measure it before, you cannot prove it after.
The implementation partner was the wrong one. Large system integrators know the software but not your business. Vendor professional services teams are paid to get you live, not to get you value. The partner you want understands your supply chain first and the software second, and sits on your side of the table.
How to choose an APS solution
The process below is the one we use. It is deliberately decision-led rather than feature-led, because feature checklists reward whichever vendor ticks the most boxes, and that is rarely the right answer.
Start with decisions, not features. List the ten decisions in your supply chain that cost the most money when they are wrong. How much to buy from an overseas supplier with a twelve-week lead time. How to split stock between Sydney and Perth. Which products to run on which line this week. Whether to accept a customer’s promotional volume. Those decisions become your requirements.
Assess your data and process honestly. Before any demo, measure forecast accuracy, inventory by segment, service by customer and expediting spend. Audit the master data. Fix the five worst problems now. This work is not wasted: it improves planning immediately, and it makes the eventual implementation faster.
Write short requirements. Two pages built from those decisions, plus the non-negotiables: integration with your ERP and WMS, Australian support hours, data residency, pricing model, implementation partners available in this country. Not a 200-line feature matrix.
Shortlist across the three groups. Three or four vendors, chosen so that you see at least one ERP suite, one large platform and one specialist. The comparison will teach you what you actually need.
Run scripted demos on your data. Give each vendor the same dataset and the same scenarios: a supplier outage, a promotion, a new distribution centre, a capacity constraint. Watch how long it takes and how much the vendor had to pre-configure. Ask the planners who will use it, not the executives, which one they would rather work in every day.
Cost it over five years. Licence, implementation, integration, internal time, ongoing administration. Implementation commonly runs at one to two times the first-year licence. Internal effort is the number everyone forgets and the one that most often blows out.
Check references that look like you. In Australia, in your industry, at your scale. Ask what went wrong. A reference that reports nothing went wrong is not being candid.
Choose the implementation partner with the same care as the software. Meet the people who will actually do the work, not the sales team.
Phase the implementation around one measurable outcome. A first release in six to nine months that delivers something you can count, such as inventory in a defined category or forecast accuracy for a key customer, builds the confidence and the evidence to fund the next phase.
Building the business case
An APS business case lives or dies on specificity. The benefits are real but they come from decisions that change, not from software that is installed, and a CFO will ask which number on which line moves, by when, and who owns it.
The money comes from five places. Working capital, through lower inventory, fewer write-offs and less obsolescence. Revenue, through fewer stockouts and, for suppliers to major retailers, fewer DIFOT penalties and delisting risk. Cost, through less expediting and air freight, less overtime, fewer changeovers and better container utilisation. Productivity, through planners spending their time on decisions rather than data. And risk, through the ability to evaluate a disruption in minutes rather than weeks, which is hard to value until the day you need it.
Size each one from your own baseline. If your inventory is $40 million and the C items that make up 60 per cent of the range are carrying 20 weeks of cover, you can calculate the opportunity without a vendor’s help. If expediting cost you $1.8 million last year, that is a number. Resist the temptation to put the brochure percentages in the case. The board has seen them before and the finance team will discount them to zero.
Then tie every benefit to a person. Inventory reduction in the slow-moving range is owned by the inventory planner, and it happens when she stops overriding the system’s targets. Fewer changeovers is owned by the production scheduler, and it happens when he lets the finite scheduler sequence the week. A benefit without an owner is a hope, not a plan.
How Trace Consultants Can Help
Trace Consultants is an Australian supply chain, procurement and operations advisory firm. We work with businesses that have complex planning problems: multiple sites, long lead times, demanding customers, and ranges that behave in very different ways. Our teams are senior and hands-on, and we measure ourselves on the result in the client’s numbers, not on the deliverable. Here is how we help with APS.
Working out whether you need one. Our planning and operations diagnostic looks at your process, data, people and tools together and gives you a plain answer. Sometimes that answer is “configure your ERP properly and run a real S&OP first”. We will say so, because a client who buys software they are not ready for does not come back.
Selecting the right APS solution. Through our technology practice we run decision-led selections: requirements built from the decisions that cost you money, scripted demonstrations on your data, five-year costing, reference checks and commercial negotiation. We are platform-literate across the ERP suites, the large platforms and the specialist tools, and we have hands-on experience with GAINS. We tell you where each one fits and where it does not.
Getting the data and the process ready. Master data clean-up, inventory policy and segmentation, forecast process design and S&OP design are things we do with your team, and they deliver value whether or not you buy software. Our warehousing and distribution work means we understand how the plan has to land in the warehouse and on the truck, not just in the system.
Running the implementation from the business side. Our project and change management team sits with you, not the vendor. We design the processes the tool will run, train planners in why the system recommends what it does, set up forecast value added and exception management, and track benefits against the baseline we set before the project started.
Fitting the plan to the network. Planning decisions and network decisions are linked: how much to hold in each distribution centre depends on where the distribution centres are. Our strategy and network design work makes sure the APS is planning the right network, not optimising the wrong one.
We do this work across FMCG and manufacturing, retail and health and aged care, where the planning problems are hardest and the cost of getting them wrong is highest.
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Where to begin
You do not need a software project to start. You need 90 days and some discipline.
In the first month, measure. Forecast accuracy by product group and customer. Inventory by segment, in weeks of cover and in dollars. Service by customer. Expediting and air freight spend for the last twelve months. Write the ten decisions that cost the most when they are wrong, and name who makes each one.
In the second month, fix the worst of the master data and run one S&OP cycle properly, even if it is in a spreadsheet: one demand number, a supply response, a reconciled view, and an executive meeting that makes decisions rather than reviewing slides. You will learn more about your real requirements from that one cycle than from any vendor presentation.
In the third month, if the evidence says you need a tool, build the shortlist and the business case from the numbers you now have. You will walk into the vendor conversations knowing what you need, what it is worth, and what you will not pay for.
If you are on SAP APO, compress that timeline. The maintenance deadline is fixed and the implementation window is already tight. The decision about what replaces APO is a supply chain decision before it is an IT decision, and it needs to be made in the next six months.
The bottom line
APS solutions are not new, but the combination of cloud pricing, mature machine-learning forecasting and the end of SAP APO has made this the moment many Australian businesses will decide what the next decade of their planning looks like. The tools are good. Most of the risk sits in the business: data that is not ready, processes that do not exist, planners who were never brought along, and benefits that were never measured.
Get those right and an APS will pay for itself many times over in inventory, service and cost. Get them wrong and you will own a sophisticated system that runs quietly in the background while the planners go back to their spreadsheets.
If you want a plain assessment of where you stand and what it is worth fixing, we are easy to talk to.
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