Demand planning is the forecast that everything downstream inherits: purchasing, production, stock.
This guide separates the statistical engines from the consensus platforms, because those solve different problems, and ranks on what the first ninety days cost in data work, what the bill becomes at scale, and how the numbers get out.
Vendors can pay for more visibility on this website, for example a higher place in a ranking or more room on a page. Commercial relationships can also affect which products we feature and how prominently. Every vendor link is marked the same, whatever the arrangement behind it. How that works.
In short
What demand planning software does
Demand planning software produces a forecast of future sales by item and location, and gives the people who disagree with it a structured way to change it.
Setup effort, true cost, data portability, exit options and buyer fit are the five tests, applied in that order to every demand planning tool here. A separate rule reserves the first three places for challengers and moves the household names to place 4 and below. Reasons for the choice of tests, and for skipping a score out of ten, can be read on the how we work page.
Desktop-strength forecasting that connects to mid-market ERPs
Ranked #1 of 14 in Best Demand Planning Software in 2026.
Published pricingNorth America
Streamline is the practical middle: proper statistical forecasting, inventory optimisation, ERP connectors and a consensus plan on top, with a free account to try it on your own data, although the price is now quoted after a call rather than published.
For a single planner it removes the spreadsheet without introducing a programme. The design still shows its desktop lineage in the interface and in how it handles several people working at once, and complex distribution networks with intermediate warehouses are where it starts to strain.
What stands out
Trial on own data
ERP connectors
Forecast plus inventory
Where it costs you
Consensus and S&OP features are lighter than the dedicated platforms
Struggles with large multi-echelon networks
Right for
One planner or a small team wanting real forecasting without a project
Wrong for
Multi-site groups running a heavy S&OP cycle across many teams
United StatesQuoted; pricing tailored after a sales call, with a free account to try it
Ranked #2 of 14 in Best Demand Planning Software in 2026.
Pricing on requestEurope
Slim4 is competent software, but the reason Slimstock keeps winning is the consultants who arrive with it and spend the first weeks on classification, service levels and who owns which decision.
In a market where forecasts fail on ownership rather than mathematics, that is the right emphasis. It also means an ongoing relationship, a quoted price, and limited ability to change the setup without picking up the phone.
What stands out
Consulting included
EU vendor
Wholesale focus
Where it costs you
Pricing is never published and always includes services
Configuration depends on the vendor rather than your team
Right for
European wholesalers who need the process fixed, not just the software
Wrong for
Teams that want to configure and run the tool themselves
NetherlandsSubscription, quoted; implementation included
Forecasting and reorder advice for small sellers, now sold only inside Cin7
Ranked #3 of 14 in Best Demand Planning Software in 2026.
Pricing on requestEurope
Inventoro did the part small distributors actually need: classify the catalogue, forecast, and say what to reorder this week. Since Cin7 bought it in 2024 it has become Cin7 ForesightAI, built into Cin7 Core and Omni and not sold separately, with GMV-based pricing shown to existing customers only.
That removes the old appeal of a published price and an afternoon trial on its own. For a Cin7 customer it is the obvious add-on. The ceiling is low and clearly marked: manual adjustments are allowed, but there is no consensus process and no way to model a promotion.
What stands out
Cin7 add-on
Reorder automation
Small catalogues
Where it costs you
No consensus workflow or override trail
Promotions and tenders are invisible to the model
Sold only as an add-on to Cin7 Core or Omni
Right for
A small seller already on Cin7 Core or Omni, reordering a few thousand items
Wrong for
Companies not on Cin7, or where sales and finance argue about the forecast
CzechiaAdd-on to a Cin7 Core or Omni subscription, priced on GMV; not published
Forecast and reorder layer that plugs into an existing ERP
Ranked #4 of 14 in Best Demand Planning Software in 2026.
Published pricingAfrica
Netstock deliberately trades sophistication for speed. It reads your ERP, classifies items, and produces reorder recommendations and stock health reports after an implementation the vendor puts at six to ten weeks, which is why so many mid-market companies get value from it where a larger project would have stalled.
The forecasting underneath is conventional. Promotions, events and collaborative forecasts are handled in the separate Demand Planning product; without it, a promotion or a single large customer will leave the recommendations confidently late.
What stands out
ERP add-on
Fast deployment
Mid-market
Where it costs you
Core forecasting is simple; promotions need the Demand Planning product
Opinionated defaults are hard to argue with
Right for
Mid-market distributors and manufacturers who want results within weeks
Wrong for
Businesses whose demand is driven by campaigns or large contracts
South AfricaAnnual subscription by product and bundle; published starting price of $900 a month
Probabilistic forecasts turned into ranked purchase decisions by Lokad's own analysts
Ranked #5 of 14 in Best Demand Planning Software in 2026.
Pricing on requestEurope
Lokad skips the single-number forecast and works with the full probability of demand, then ranks every possible purchase by expected return. For spare parts, fashion and other erratic demand that is the right mathematics, close to ToolsGroup's argument.
The service model is the question: the logic is written in Lokad's own language by their scientists, so leaving means rebuilding it, and planners cannot simply override a number in a meeting.
What stands out
Probabilistic forecasting
Analyst included
Decision lists
Where it costs you
The model is written and maintained by Lokad's staff
No consensus or S&OP workflow for planners to adjust
Right for
Companies with erratic demand wanting purchase decisions rather than a forecast screen
Wrong for
Teams wanting a tool their own planners configure
FranceMonthly subscription, quoted; analyst time included
Retail forecasting that plans down to the store shelf
Ranked #6 of 14 in Best Demand Planning Software in 2026.
Pricing on requestEurope
RELEX forecasts at store, item and day, which is the granularity grocery actually needs, and it models weather, promotions, shelf life and space in the same engine. For a food retailer it is the reference point.
The same design makes it a heavy fit elsewhere: RELEX does sell master planning and production scheduling to manufacturers, but the data volumes, the implementation effort and the commercial scale are set by its retail base, and a small manufacturer will pay for machinery it never switches on.
What stands out
Retail and grocery
Store-level detail
Fresh goods
Where it costs you
Retail-first in scope and price, despite its manufacturing modules
Implementation is a substantial data project
Right for
Grocers and retailers forecasting fresh products at store level
Wrong for
Manufacturers with a few hundred finished goods
FinlandQuoted per organisation; subscription by volume
Forecasting and S&OP with a European consumer goods base
Ranked #7 of 14 in Best Demand Planning Software in 2026.
Pricing on requestEurope
FuturMaster, now renamed Sunstice, is built around the monthly planning cycle rather than around a forecasting algorithm, and its promotion modelling reflects the way European grocery retail buys.
That combination suits food and drink manufacturers with a demand planner, a supply planner and a meeting where the two argue. It is less compelling as a pure statistics engine. Delivery is not only in-house: resellers and integrators implement it too, and it has offices in Paris, Austin, Birmingham, Singapore and Beijing.
What stands out
S&OP process
Promotion planning
EU vendor
Where it costs you
Interface feels dated in parts of the suite
Less compelling as a pure statistics engine
Right for
European food and consumer goods companies running a real S&OP cycle
Wrong for
Distributors who only need a statistical reorder signal
Probabilistic forecasting aimed at long-tail, lumpy demand
Ranked #8 of 14 in Best Demand Planning Software in 2026.
Pricing on requestNorth America
For items that sell irregularly, fitting a time series is the wrong mathematics and ToolsGroup has argued that for decades. The service-level-driven stock targets it produces are usually better than what a planner would set by hand.
The adoption risk is human: the model outputs a distribution, the sales director wants a number, and if nobody can bridge that gap the system gets overridden into irrelevance within a year.
What stands out
Probabilistic model
Service-level driven
Spare parts
Where it costs you
Probabilistic output is hard for planners to explain
Quoted enterprise pricing with an implementation attached
Right for
Spare parts and industrial distribution with intermittent, lumpy demand
Wrong for
Companies wanting a forecast number they can defend line by line
United StatesQuoted per organisation; subscription
Intermittent demand forecasting with a long spare-parts record
Ranked #9 of 14 in Best Demand Planning Software in 2026.
Pricing on requestNorth America
Smart Software has spent a long time on one problem: what to stock when an item sells a handful of times a year and a stockout grounds equipment. Smart IP&O produces defensible service-level targets from that pattern and connects to the ERPs those organisations run, Epicor's among them since Epicor bought the company in 2024.
It is not trying to be a broad planning suite, the presentation is plain, and buyers with fast-moving catalogues should look at the statistical products higher up this list.
What stands out
Intermittent demand
Service parts
Long track record
Where it costs you
Narrow scope with plain reporting
Little value for fast-moving consumer goods
Right for
Service parts organisations forecasting slow and erratic movers
Wrong for
Retail or consumer goods planning with promotions and seasonality
United StatesSubscription, quoted; per user and item volume
Established supply chain planning suite, licensed module by module
Ranked #10 of 14 in Best Demand Planning Software in 2026.
Pricing on requestNorth America
Logility, now an Aptean company, has been in supply chain planning long enough to have solved most of the ordinary problems, and its demand, inventory and supply modules work together without heroics. That maturity is the pitch.
The catch is the shape of the deal: each capability is a licence line, the implementation runs in quarters not weeks, and screens vary in age depending on which part of the suite you are in. Price the whole bundle before comparing.
What stands out
Modular suite
Long history
Enterprise mid-market
Where it costs you
Modules are licensed separately and quotes grow accordingly
Long implementations and a patchy interface refresh
Right for
Established mid-market and enterprise manufacturers wanting one planning suite
Wrong for
Small companies expecting a quick, self-serve deployment
United StatesQuoted per organisation; licensed by module
Fast scenario replanning across the whole supply network
Ranked #11 of 14 in Best Demand Planning Software in 2026.
Pricing on requestNorth America
Kinaxis wins on the speed of the what-if. Because Maestro recalculates the whole network concurrently, a planner can test a supply disruption and see the effect on customer orders during the meeting rather than the next morning. Companies with volatile supply value that enormously.
The forecasting, machine learning and external signals included, is less distinctive than the replanning, the integration work to build the network model is the real project, and outside the packaged Planning One edition the licence assumes an enterprise budget.
What stands out
Scenario speed
Concurrent planning
Enterprise
Where it costs you
Enterprise pricing and a long data integration phase
Forecast engine is less distinctive than the replanning
Right for
Global manufacturers who replan constantly against supply disruption
Wrong for
A single-site company with stable demand and simple supply
CanadaQuoted subscription; priced by user tier and volume
Graph-based planning platform sold as an enterprise programme
Ranked #12 of 14 in Best Demand Planning Software in 2026.
Pricing on requestNorth America
The o9 pitch is one connected model across commercial and supply planning, and where a group genuinely runs those cycles together it removes reconciliation work that costs real money.
It is bought as a transformation programme, priced accordingly, and normally delivered with an integrator. Companies that arrived because their forecast was poor will spend two years and a great deal of money solving a much larger problem than the one they had.
What stands out
Knowledge graph
Enterprise scale
Programme-sized
Where it costs you
Multi-year programme with a systems integrator attached
Far more scope than a forecasting problem requires
Right for
Large groups planning demand, supply and finance on one model
Wrong for
Anyone whose actual problem is only forecast accuracy
United StatesQuoted per organisation; multi-year subscription
Ranked #13 of 14 in Best Demand Planning Software in 2026.
Pricing on requestEurope
IBP earns its place through proximity: the same master data as S/4HANA, and an Excel add-in that planners will actually open, which matters more than most vendors admit. The awkwardness is commercial.
Demand, response, inventory and S&OP are separate modules, so the capability shown in a demo may sit behind another licence, and the configuration that makes it useful normally arrives with a consultant.
What stands out
S/4HANA integration
Excel front end
Module licensing
Where it costs you
Module licensing puts useful capability behind a second purchase
Weak case for anyone outside an SAP landscape
Right for
SAP manufacturers who want planning on the same master data
Wrong for
Non-SAP companies looking purely at forecasting quality
GermanyQuoted subscription; licensed by module and user type
Retail demand forecasting inside a wider inventory, promotion and planogram suite
Ranked #14 of 14 in Best Demand Planning Software in 2026.
Pricing on requestElsewhere
LEAFIO is built for retailers and their suppliers, and its demand planning forecasts each item and store from sales history, promotions, store traffic, seasonality and weather. The baseline is an average daily usage taken from valid days only, leaving out promotion days and wholesale orders, and overlapping promotions in a category are adjusted for cannibalisation.
Replenishment, promotion, assortment and planogram modules sit beside it, and the vendor says it serves 250+ retailers in 45+ countries. Gains of up to 50% in forecast accuracy are the vendor's own claim, no price is published, and offices are listed in Warsaw, Delaware and Brazil without a named head office. Data arrives by SFTP, S3-compatible storage or a REST API.
What stands out
Retail focus
Promotion forecasting
SFTP and REST API
Not stated by the vendorNot published; demo on request
Demand planning software produces a forecast of future sales by item and location, and gives the people who disagree with it a structured way to change it. A feature table will not settle this choice. These steps will.
01
Check who publishes a price
12 vendors on this page sell by quote, while 2 publish a pricing model you can read today: GMDH Streamline, Netstock.
02
Weigh the vendor's home jurisdiction
The vendors on this page are based in 9 countries (North America 6, Europe 6, Africa 1, Elsewhere 1). The country of the contracting company sets which authorities can ask it for your data, whatever the hosting region.
Statistical baseline or consensus process
Two different products are sold under one name. A statistical engine takes history and produces a baseline: Inventoro, GMDH Streamline and Smart Software are this, and they are judged on the quality of the number. A consensus platform assumes the number will be argued with, and gives sales, marketing and finance a place to override it with their reasons recorded: SAP IBP, FuturMaster and o9 Solutions are this, and they are judged on the workflow.
Buying the wrong one is the common expensive error. A distributor with eight thousand items and no opinions needs a better baseline. A consumer goods company where the sales director overrides everything needs a process, and a better algorithm will change nothing.
Ask who currently changes the forecast, and whether that is written down anywhere.
Count how many items carry ninety per cent of your revenue.
Decide whether you are buying a number or a meeting. Both is a bigger project.
Nobody owns the forecast, and that is the actual problem
Forecast accuracy projects fail for a reason software cannot fix: there is no single person whose job depends on the number. Sales forecast optimistically because targets follow, operations plan pessimistically because stockouts hurt, and finance keeps a third version. Every product here will let all three exist.
Slimstock is ranked where it is because it sells consultants alongside the software and spends the first weeks on exactly this, which is unglamorous and usually the difference. Before choosing a tool, name the person who signs off the consensus number, name the meeting where it happens, and agree what accuracy measure everyone will be judged on. If that cannot be agreed, buy nothing yet.
Write the name of the forecast owner on one line. If it takes two, stop.
Pick one accuracy measure, at one level of aggregation, before the trial.
Ask what the last three overrides were, and whether anyone recorded why.
The shape of your demand picks the vendor
The mathematics that works for one demand pattern is wrong for another, and this is where the shortlist should be cut. Fast-moving items with seasonality and promotions are what RELEX Solutions and FuturMaster are built for, down to weather and shelf life.
Items that sell twice a year need a probabilistic or intermittent model instead: ToolsGroup and Smart Software exist because a time series fitted to mostly zeroes produces confident nonsense. A long tail of slow movers inside a fast-moving catalogue is the awkward case, and it is worth asking any vendor to run their engine over your worst two hundred items rather than your best. The demo data will always be well behaved.
Classify your catalogue by movement before shortlisting, not after.
Give every vendor the same extract, including the difficult items.
Ask which model the tool chose for a given item, and why.
What it costs to keep the forecast running
The licence is the visible cost. The invisible one is the data pipeline and the planner's week. A forecast needs history cleaned of one-off events, a product hierarchy that survives reorganisation, and someone to review exceptions every Monday. Netstock is ranked high because it is deliberately narrow, can be live in weeks on an ERP you already have and publishes a starting price, which keeps the running cost small and visible.
Kinaxis, o9 Solutions and SAP IBP all deliver more, and all of them assume a planning team that exists. Before signing, count the hours per week the new process will take and ask who is giving those hours up. A forecast nobody reviews decays quietly.
Budget the weekly review time as a named person's hours, not a percentage.
Ask how history is cleaned of stockouts and one-off orders, and by whom.
Check what happens to the model when the product hierarchy changes.
What goes wrong most often when buying demand planning software
Judging a vendor on forecast accuracy at total company level. Aggregate forecasts are always accurate and never useful.
Buying a consensus platform when nobody attends the consensus meeting. The workflow will sit empty and the spreadsheet will survive.
Feeding in shipment history and calling it demand. Everything you could not supply is missing from that number.
Treating the forecast as a target. The moment it carries a bonus, it stops being a prediction and becomes a negotiation.
07
Frequently asked questions
6 answers
What is the best demand planning in 2026?
First of 14 on this page is GMDH Streamline. Lets you open a free account and run it on your own data before any sales conversation, though the prices themselves are no longer published: the pricing page now asks for details and a call.
The forecasting and inventory optimisation are solid for a single planner or a small team. It now pitches consensus and S&OP planning too, but the interface shows its desktop origins, and large multi-echelon networks are not where it is comfortable.
Which demand planning tools publish their pricing?
The ones that do, with the model each states:
GMDH Streamline: Quoted; pricing tailored after a sales call, with a free account to try it.
Netstock: Annual subscription by product and bundle; published starting price of $900 a month.
Everything else on the list is priced on request.
Is there a free demand planning tool?
No. None of the 14 offer a usable free tier.
Where are these demand planning vendors established?
In 9 countries across 4 regions: North America 6, Europe 6, Africa 1, Elsewhere 1.
GMDH Streamline: United States.
Slimstock: Netherlands.
Cin7 ForesightAI (formerly Inventoro): Czechia.
Netstock: South Africa.
Lokad: France.
RELEX Solutions: Finland.
Sunstice (formerly FuturMaster): France.
ToolsGroup: United States.
Smart Software: United States.
Logility: United States.
Kinaxis: Canada.
o9 Solutions: United States.
SAP IBP: Germany.
LEAFIO AI: Not stated by the vendor.
What should you use instead of GMDH Streamline?
Second is Slimstock, which suits European wholesalers who need the process fixed, not just the software. Third is Cin7 ForesightAI (formerly Inventoro), which suits a small seller already on Cin7 Core or Omni, reordering a few thousand items.
Who should not buy GMDH Streamline?
Multi-site groups running a heavy S&OP cycle across many teams. Consensus and S&OP features are lighter than the dedicated platforms.
Makers of demand planning products can ask us to look at theirs. Say what it does and who uses it. We choose what to add, and nothing can be bought; see software advice for what a listing means.
