Operations & Supply Chain

Best Demand Planning Software in 2026

Thirteen demand planning and forecasting platforms compared for 2026, from Kinaxis, o9, Blue Yonder and SAP IBP to Netstock and Streamline.

Demand planning software forecasts how much of each product customers will buy, by location and period, and turns that forecast into the inputs for inventory, replenishment, production and financial plans. Modern tools combine statistical and machine-learning forecasting with collaboration workflows in which sales, marketing and finance adjust the baseline, and most sit inside broader supply chain planning suites that also cover supply, inventory optimisation and sales and operations planning (S&OP).

This list covers thirteen products available in November 2026. It ranges from enterprise planning platforms, such as Kinaxis Maestro, whose maker reported 2025 revenue of US$548 million, o9 Solutions, Blue Yonder and SAP Integrated Business Planning, which SAP says is used by more than 1,000 companies, to retail-focused RELEX, probabilistic specialists ToolsGroup and Lokad, and mid-market tools such as Netstock, whose pricing starts at US$900 per month.

Entries are ordered by planning scope, the scale of organisations served and published evidence about each vendor, not by review scores.

Contents
  1. What is demand planning software
  2. History and market
  3. Key features to compare
  4. Pricing models
  5. How to choose
  6. Methodology
  7. The list
  8. Comparison table
  9. Alternatives by use case
  10. Recent developments
  11. Frequently asked questions
  12. See also

What is demand planning software

Demand planning is the process of estimating future customer demand so that a company can buy, make and position stock ahead of it. Software for the task ingests sales history, open orders, promotions, prices, seasonality and, increasingly, external signals such as weather or point-of-sale data; generates statistical or machine-learning forecasts at item-location level; lets planners review exceptions and add judgement; and publishes a consensus forecast to downstream processes. Demand sensing, a related function, uses very recent signals to adjust short-term forecasts.

Demand planning is usually one module of a supply chain planning (SCP) suite. Supply planning converts the forecast into purchase and production plans under capacity and lead-time constraints; inventory optimisation sets safety stocks and reorder points, often across several echelons of a distribution network; and S&OP or integrated business planning reconciles operational and financial plans each month. Adjacent categories include ERP software, whose built-in forecasting is generally basic; inventory management software, which executes stock transactions; warehouse management systems; and procurement software. Retailers often buy demand planning bundled with merchandise, assortment and price optimisation.

History and market

Commercial supply chain planning software dates from the 1980s and 1990s, when vendors began running planning calculations separately from ERP transactions. Kinaxis traces its history to June 1984, when it was founded as Cadence Computer Corporation; it launched an in-memory planning engine in 1986, was renamed Kinaxis in 2005, released its first cloud platform the same year and listed on the Toronto Stock Exchange in 2014. ToolsGroup was founded in Boston in 1993 by Joseph Shamir and Eugenio Cornacchia around probabilistic forecasting, RELEX was founded in Finland in 2005, and Lokad has worked on probabilistic supply chain forecasting since 2008.

The market has consolidated around large owners. Panasonic acquired 20% of Blue Yonder in July 2020 and completed the purchase of the remaining 80% in September 2021. Logility, a supply chain planning vendor with more than 50 years in business, now operates as an Aptean company brand. Kinaxis, the largest listed pure-play planning vendor, reported 2025 revenue of US$548.0 million, up 13%, SaaS revenue of US$362.4 million, up 17%, and annual recurring revenue of US$433 million, and guided to 2026 revenue of US$620–635 million.

The latest phase is AI-driven planning. Vendors now describe agentic AI (Blue Yonder, SAP), neurosymbolic AI (o9) or autonomous planning (GMDH Streamline) in their positioning, and Gartner's 2026 Magic Quadrant for Supply Chain Planning Solutions named Kinaxis a Leader, according to Kinaxis.

Key features to compare

Forecasting method

Tools differ in whether they produce a single-number forecast or a probability distribution. Probabilistic forecasting, central to ToolsGroup and Lokad, models the full range of possible demand and is useful for intermittent and long-tail items such as spare parts.

Granularity and scale

Retailers forecast at store-SKU-day level for millions of combinations; manufacturers often forecast monthly by product family and region. ToolsGroup cites an industrial customer managing 1.4 million SKU-market combinations across 42 locations.

Demand sensing and external signals

Short-horizon adjustment from orders, point-of-sale data and events reduces near-term error. SAP IBP and Logility both list demand sensing among their functions.

Collaboration and consensus

Workflow for sales, marketing and finance overrides, with audit trails of who changed the forecast and why, is essential for S&OP.

Integration with supply and inventory planning

An end-to-end suite links the forecast directly to supply plans and safety stocks; a point solution must export to the ERP. Kinaxis, o9, Blue Yonder and SAP IBP span the full chain.

Scenario planning

What-if simulation of demand shocks, supply disruptions or tariffs is a core feature of concurrent-planning platforms such as Kinaxis Maestro.

Implementation time and ERP connectors

Mid-market tools emphasise prebuilt ERP connectors and short projects: Netstock says implementations typically take 6 to 10 weeks.

Pricing models

Demand planning software is almost always sold on annual subscriptions, and few vendors publish prices. Enterprise platforms (Kinaxis, o9, Blue Yonder, SAP IBP, RELEX, Anaplan) are quoted individually, typically on the basis of modules, planning volume such as SKU-location combinations, and user counts, and they are delivered with multi-month implementation projects by the vendor or a systems integrator.

Mid-market vendors are more transparent. Netstock states that subscriptions depend on product and bundle and start at US$900 per month, billed as annual subscriptions. GMDH and others provide customised quotes after a needs discussion. Lokad works through engagements in which its own supply chain scientists build and run the models, so its fees cover service as well as software.

Implementation and change-management costs often exceed licence fees in the first year for enterprise deployments, and data preparation, especially cleaning sales history and master data, is the most common source of overruns.

How to choose

Large manufacturers with complex multi-tier networks and frequent disruptions typically shortlist Kinaxis Maestro, o9 and Blue Yonder; companies standardised on SAP ERP add SAP IBP. Grocery and general retailers forecasting at store level evaluate RELEX and Blue Yonder, both of which also cover replenishment and merchandising.

Distributors and manufacturers with long-tail or intermittent demand, including spare parts businesses, often favour probabilistic tools such as ToolsGroup, Slimstock's Slim4 or Lokad. Mid-sized companies moving off spreadsheets and ERP forecasting modules can start with Netstock, GMDH Streamline or John Galt's Atlas, which emphasise fast implementation. Finance-led organisations that want demand plans inside a wider connected-planning model sometimes choose Anaplan.

Regardless of size, a proof of concept using the company's own history is the most reliable way to compare forecast accuracy, since vendor-reported improvements are measured on different baselines.

Methodology

Products were included if they provide statistical or machine-learning demand forecasting with planner workflows as a core capability and were sold in November 2026. Ordering reflects planning scope (demand only versus end-to-end planning), the scale and complexity of organisations each product is designed for, and the published evidence of each vendor's scale, such as audited revenue, customer counts and analyst positioning reported on vendor pages. Retail specialists and probabilistic specialists follow the end-to-end suites; mid-market tools follow those. Customer outcome figures quoted by vendors are reported as vendor claims. No review scores were used.

The list

1

Kinaxis Maestro

Best for: Large manufacturers needing concurrent scenario planning

Kinaxis is a supply chain planning company founded and headquartered in Ottawa, Canada. It was founded in June 1984 as Cadence Computer Corporation, launched an in-memory planning engine in 1986, was renamed Kinaxis in 2005, released its first cloud platform the same year and listed on the Toronto Stock Exchange (KXS) in June 2014. Its current platform, Maestro, is described as an AI-infused, end-to-end supply chain platform.

Maestro's distinguishing approach is concurrent planning: demand, supply, inventory and capacity plans run on one in-memory data model, so a change in the forecast propagates immediately and planners can compare scenarios. Kinaxis added AI and machine-learning applications from 2018 and joined planning with execution in 2022. It says it was named a Leader in the 2026 Gartner Magic Quadrant for Supply Chain Planning Solutions for process and discrete industries.

Kinaxis reported 2025 revenue of US$548.0 million, up 13%, SaaS revenue of US$362.4 million, up 17%, and year-end ARR of US$433 million, up 20%, with 2026 revenue guidance of US$620–635 million. Razat Gaurav is chief executive. Pricing is quote-based and projects are substantial, making Maestro better suited to large manufacturers than to small distributors.

Key features

  • Concurrent demand, supply and inventory planning
  • In-memory scenario simulation
  • AI and machine-learning forecasting
  • Planning linked to execution
  • Open platform for third-party developers

Pricing

Quote-based SaaS subscription; no published prices.

Recent results

FY2025: revenue US$548.0m (+13%), SaaS revenue US$362.4m (+17%), ARR US$433m (+20%), adjusted EBITDA margin 25%; FY2026 guidance US$620–635m.

Founded
1984
Headquarters
Ottawa, Canada
Listed on
TSX (KXS)
Revenue (FY2025)
US$548.0m
CEO
Razat Gaurav

Strengths

  • Single data model for concurrent planning
  • Strong scenario and what-if capabilities
  • Audited public-company financials
  • Long planning heritage

Limitations

  • No published pricing
  • Large implementation effort
  • Oriented to big manufacturers
  • Retail store-level forecasting less central
2

o9 Solutions

Best for: Global enterprises integrating commercial and supply planning

o9 Solutions is an enterprise planning software company co-founded by Sanjiv Sidhu, a board member, and Chakri Gottemukkala, its executive chairman and chief executive. o9 has offices in the Americas, Asia, Europe, Oceania and India and serves automotive, consumer products, energy and resources, high tech, industrial manufacturing, life sciences, retail, telecoms and wholesale distribution customers, in more than 30 industries in total.

The o9 platform, the o9 Enterprise Brain, uses what the company calls neurosymbolic AI to connect enterprise knowledge with AI reasoning for demand planning and coordinated action. Its applications cover demand planning and sensing, supply planning, integrated business planning, revenue management, price optimisation and procurement on one graph-based data model, so commercial and financial plans can be reconciled with supply.

o9 is typically selected by large consumer-goods, industrial and retail companies replacing older planning suites. It does not publish prices, customer counts or financial results, and implementations require significant data-modelling work by o9 or partners.

Key features

  • Enterprise knowledge graph data model
  • Demand planning and sensing
  • Integrated business planning
  • Revenue management and price optimisation
  • Neurosymbolic AI reasoning

Pricing

Quote-based; no published prices.

Co-founders
Sanjiv Sidhu, Chakri Gottemukkala
CEO
Chakri Gottemukkala
Industries served
30+
Pricing
Quote-based

Strengths

  • Broad commercial-to-supply planning scope
  • Single graph data model
  • Strong presence in consumer goods and retail
  • Founders with long planning-software history

Limitations

  • No published pricing or customer counts
  • Privately held with limited financial disclosure
  • Data-modelling effort during implementation
  • Overkill for mid-sized firms
3

Blue Yonder

Best for: Retailers and consumer-goods firms wanting planning plus execution

Blue Yonder is a supply chain software company owned by Panasonic. Panasonic bought a 20% stake in July 2020 and completed the purchase of the remaining 80% in September 2021, after antitrust and regulatory approvals. Blue Yonder says it has close to 40 years of customer engagements, more than 3,000 customers and customers in 81 countries and territories; Duncan Angove is chief executive.

The company's AI-driven platform covers supply chain planning, including demand planning, along with warehouse management, transportation management, order management and returns, on a common data cloud, with a multi-enterprise network for collaboration with suppliers and partners. Blue Yonder markets predictive, generative and agentic AI and has launched what it calls Cognitive Solutions. Published customer examples include DHL, Carlsberg and Walgreens.

Blue Yonder's breadth across planning and execution is unusual and particularly strong in retail and consumer goods, where demand forecasting at store and channel level feeds replenishment and fulfilment. Prices are quote-based, and customers on older on-premises versions face migration projects to the cloud platform.

Key features

  • AI demand planning and forecasting
  • Supply and inventory planning
  • Warehouse and transportation management
  • Order management and returns
  • Multi-enterprise supply chain network

Pricing

Quote-based subscription; no published prices.

Owner
Panasonic (100% since September 2021)
CEO
Duncan Angove
Customers
3,000+
Countries with customers
81

Strengths

  • Covers planning through fulfilment and returns
  • Deep retail and consumer-goods experience
  • Large customer base
  • Backed by Panasonic

Limitations

  • No published pricing
  • Complex suite with long implementations
  • Older on-premises customers face migration
  • Limited separate financial disclosure
4

SAP Integrated Business Planning

Best for: Companies running SAP ERP

SAP Integrated Business Planning (SAP IBP) is SAP's cloud supply chain planning solution. It integrates demand, supply, inventory and sales and operations planning, and it integrates with SAP ERP and third-party systems. SAP says more than 1,000 companies use SAP IBP, ranging from multinationals to medium-sized enterprises in manufacturing, retail, consumer goods, pharmaceuticals, automotive and aerospace.

For demand planning, SAP IBP offers AI-powered algorithms, statistical modelling, demand sensing and automated outlier correction in sales history. Supply planning models multi-level bills of materials across locations, inventory optimisation balances carrying costs, stockouts and service levels, and the S&OP process combines financial and operational planning with simulations of demand and supply changes. SAP now markets IBP alongside AI agents and a unified platform that connects sales, demand, inventory, supply and production; published users include SMA Solar, BYK and Microsoft.

SAP IBP is the default shortlist candidate for SAP ERP customers because of native integration. Non-SAP companies may find specialist suites quicker to deploy, and SAP does not publish IBP prices.

Key features

  • Statistical and AI forecasting
  • Demand sensing and outlier correction
  • Multi-level supply planning
  • Inventory optimisation
  • Sales and operations planning with simulations

Pricing

Quote-based cloud subscription; SAP offers a value estimator but no published prices.

Vendor
SAP
Companies using it
1,000+
Deployment
Cloud
Pricing
Quote-based

Strengths

  • Native integration with SAP ERP
  • Covers demand, supply, inventory and S&OP
  • Demand sensing included
  • Large SAP partner ecosystem

Limitations

  • No published pricing
  • Less attractive outside SAP landscapes
  • Configuration requires specialist consultants
  • Store-level retail forecasting less specialised than retail suites
5

RELEX Solutions

Best for: Grocery and specialty retailers

RELEX Solutions was founded in Finland in 2005 by three supply chain scientists, Mikko Kärkkäinen, Johanna Småros and Michael Falck, to reduce waste in the consumer goods value chain. The company now has more than 2,300 employees in 21 countries and says it is trusted by about 700 customers globally.

RELEX describes its product as an AI platform for planning and decision-making across demand, inventory, merchandising, pricing and supply for retailers, manufacturers and wholesalers. Its demand forecasting works at granular store and product level and feeds automated replenishment, allocation, space and assortment planning, promotion planning, and price and markdown optimisation, so a forecast change flows through to orders and shelf decisions. The company emphasises reduced food waste and fresh-goods forecasting, a key use case for grocery customers.

RELEX is strongest in grocery, convenience and specialty retail and in consumer-goods manufacturers that collaborate with retailers. Manufacturers with complex production constraints may need a separate supply planning tool. Pricing is quote-based.

Key features

  • Store-level demand forecasting
  • Automated replenishment and allocation
  • Promotion and markdown planning
  • Space and assortment planning
  • Price optimisation

Pricing

Quote-based subscription; no published prices.

Founded
2005
Origin
Finland
Employees
2,300+
Customers
About 700

Strengths

  • Deep retail forecasting and replenishment
  • Strong fresh-food capabilities
  • Unified planning from forecast to shelf
  • Fast-growing vendor with global presence

Limitations

  • No published pricing
  • Less suited to complex manufacturing supply planning
  • Large retail-scale implementations
  • Privately held with limited disclosure
6

ToolsGroup

Best for: Distributors and manufacturers with long-tail demand

ToolsGroup was founded in Boston in 1993 by Joseph Shamir and Eugenio Cornacchia on the premise that supply chains are probabilistic and planning should be too. The company says it built the first service-driven supply chain planning software and the first multi-echelon inventory optimisation. It reports more than 300 enterprise customers.

ToolsGroup's planning software generates probabilistic demand forecasts, sets inventory targets to achieve chosen service levels across multi-echelon networks, and supports replenishment and retail planning. The company cites an industrial manufacturer managing 1.4 million SKU-market combinations across 42 locations and 17 ERP systems with a global team of two, and a customer that cut spare-parts stock by 30% while raising service levels from 87% to 97% over three years; these are vendor-reported results. ToolsGroup says it was recognised in the 2026 Gartner Magic Quadrant for Supply Chain Planning Solutions: Discrete Industries.

The probabilistic approach suits long-tail, intermittent and service-parts demand. ToolsGroup is less known for S&OP and finance integration than the end-to-end suites, and it does not publish prices.

Key features

  • Probabilistic demand forecasting
  • Multi-echelon inventory optimisation
  • Service-level-driven planning
  • Replenishment and retail planning
  • Handles millions of SKU-location combinations

Pricing

Quote-based; no published prices.

Founded
1993
Founders
Joseph Shamir, Eugenio Cornacchia
Origin
Boston, US
Customers
300+ enterprises

Strengths

  • Pioneer of probabilistic forecasting
  • Strong multi-echelon inventory optimisation
  • Good fit for intermittent demand
  • Scales to very large SKU counts

Limitations

  • No published pricing
  • Narrower S&OP and finance integration
  • Smaller vendor than end-to-end suites
  • Results figures are vendor-reported
7

Logility

Best for: Mid-sized and large consumer-goods and apparel firms

Logility is a supply chain planning vendor with more than 50 years in business and more than 800 customers. It now operates as an Aptean company brand. Its suite spans demand planning, inventory optimisation, supply planning, scenario planning, merchandise planning, product lifecycle management, supplier management, network optimisation and manufacturing execution.

For demand planning, Logility offers DemandAI+ and demand sensing, complemented by InventoryAI+, multi-echelon inventory optimisation and automated inventory policies; S&OP and sales and operations execution (S&OE) are delivered through a Decision Command Center. Logility's published customer examples include Tillamook County Creamery Association, which it says cut finished-goods inventory by 75%, Reynolds Consumer Products with a 20% improvement in forecast accuracy and Ferguson with a 70% improvement; these are vendor-reported outcomes.

Logility serves consumer goods, food and beverage, apparel and industrial companies in the mid-market and lower enterprise segments. Its integration into Aptean, a group of ERP and industry software businesses, may bring closer ERP ties; pricing is not published.

Key features

  • DemandAI+ forecasting
  • Demand sensing
  • InventoryAI+ and multi-echelon optimisation
  • S&OP and S&OE command centre
  • Merchandise and product lifecycle planning

Pricing

Quote-based; no published prices.

Owner
Aptean
Years in business
50+
Customers
800+
Pricing
Quote-based

Strengths

  • Broad planning suite including apparel merchandising
  • AI forecasting and demand sensing
  • Large installed base
  • Mid-market friendly

Limitations

  • No published pricing
  • Ownership change brings roadmap uncertainty
  • Outcome figures are vendor-reported
  • Less presence in very large global enterprises
8

Anaplan

Best for: Finance-led integrated business planning

Anaplan is a planning platform company that has operated since 2006 and says more than two million models have been deployed on its platform. It is best known for financial planning and analysis, sales performance management and workforce planning, but also sells supply chain applications, including demand planning, supply planning and S&OP, on the same multidimensional modelling engine.

Anaplan's distinguishing feature is its modelling flexibility: planners build models in a spreadsheet-like but centrally governed environment, linking demand forecasts to revenue, margin and workforce plans. The company emphasises AI at the core of the platform and says it achieved ISO/IEC 42001 certification for responsible AI governance. Delivery is typically through a global partner network.

Anaplan suits finance-led organisations that want demand plans tightly connected to financial plans, or that run integrated business planning across many functions. Its supply chain optimisation algorithms are less specialised than those of dedicated planning vendors, so companies with complex inventory networks often pair it with a specialist tool. Pricing is quote-based.

Key features

  • Multidimensional connected-planning models
  • Demand and supply planning applications
  • Financial and workforce planning on one platform
  • AI capabilities with ISO/IEC 42001 certification
  • Partner-delivered implementations

Pricing

Quote-based subscription; no published prices.

Operating since
2006
Models deployed
2 million+
AI governance
ISO/IEC 42001 certified
Pricing
Quote-based

Strengths

  • Links demand plans to financial plans
  • Flexible modelling
  • Strong in FP&A-driven organisations
  • Certified AI governance

Limitations

  • Supply chain algorithms less specialised
  • Model-building requires skilled architects
  • No published pricing
  • Often paired with a specialist planning tool
9

Slimstock Slim4

Best for: European wholesalers and distributors

Slimstock is a European supply chain planning company that has worked on inventory and demand planning for more than 30 years. It reports more than 1,700 customers, activity in 75 countries and offices in 28 countries. Its main product is Slim4, a forecasting and inventory optimisation platform, and the company also offers sales and operations planning and price management software.

Slim4 is aimed at wholesalers, retailers and manufacturers that need item-level forecasting, safety-stock setting and replenishment proposals connected to their ERP. Recent customer announcements include sports-equipment group Oberalp, which chose Slim4 to gain an overview of demand and stock as part of its digital transformation. Slimstock reports ISO 27001:2022 certification audited by DNV and NIS2 supply-chain certification at SC30 level, and a partnership with Argon & Co Middle East to serve the Gulf region.

Slimstock's local offices provide implementation in many languages, an advantage for European mid-market companies. It is less focused on complex production constraint planning than end-to-end suites, and pricing is not published.

Key features

  • Item-level demand forecasting
  • Safety stock and inventory optimisation
  • Replenishment proposals to ERP
  • Sales and operations planning
  • Price management module

Pricing

Quote-based; no published prices.

Experience
30+ years
Customers
1,700+
Countries active
75
Offices
28 countries

Strengths

  • Large mid-market customer base
  • Local implementation teams
  • ISO 27001:2022 certified
  • Strong inventory focus

Limitations

  • No published pricing
  • Limited production constraint planning
  • Less known in North America
  • Separate modules for S&OP and pricing
10

John Galt Solutions Atlas

Best for: Mid-market manufacturers wanting fast deployment

John Galt Solutions is a US supply chain planning software company whose Atlas Planning Platform is described as an AI supply chain planning platform built on the company's 30 years of supply chain expertise. Atlas is delivered as SaaS and covers demand planning, inventory optimisation, supply planning, S&OP and order-to-shipment processes.

John Galt positions Atlas on usability and implementation speed. One customer quoted on its site says implementation was completed in three months and replaced multiple Excel data sources with a single source of data, and the company cites Mars, which used Atlas to digitise planning across 60 countries with a consistent process in each market. The vendor also promotes a 2026 Enterprise Supply Chain Planning Value Matrix in which it says Atlas leads on usability.

Atlas is a mid-market and lower-enterprise option for consumer-goods, food and industrial companies that want more than ERP forecasting without a multi-year programme. It is a smaller vendor than Kinaxis or o9, and prices are quote-based.

Key features

  • AI demand forecasting
  • Inventory and supply planning
  • Sales and operations planning
  • Order-to-shipment conversion
  • SaaS delivery

Pricing

Quote-based SaaS subscription; no published prices.

Product
Atlas Planning Platform
Experience
30 years
Delivery
SaaS
Pricing
Quote-based

Strengths

  • Emphasis on usability
  • Shorter implementations reported
  • Covers demand through S&OP
  • Proven at multinational scale

Limitations

  • No published pricing
  • Smaller vendor and ecosystem
  • Limited public company information
  • Usability claims are vendor-reported
11

Lokad

Best for: Spare parts, aerospace and fashion with uncertain demand

Lokad is a supply chain optimisation company that has worked on probabilistic forecasting and ROI-oriented decision-making since 2008. It uses differentiable programming and a team of supply chain scientists who build and maintain each client's optimisation logic, rather than selling a configurable planning package. Lokad says it has grown by an average of 50% a year, financed by customer revenue after initial funding from family and a few business angels, without further investors.

Instead of producing a single forecast that planners then adjust, Lokad generates probabilistic forecasts of demand and lead times and converts them directly into prioritised purchase, production or allocation decisions ranked by expected financial return. Its published case studies include work for a US$1 billion retailer on Black Friday planning. The approach suits aerospace maintenance, spare parts, fashion and retail businesses with uncertain, intermittent demand.

Lokad's service-heavy model means clients depend on its scientists for model changes, and it does not offer the planner-facing collaboration workflows of mainstream S&OP software. Fees are agreed per engagement.

Key features

  • Probabilistic demand and lead-time forecasts
  • Decisions ranked by financial return
  • Differentiable programming
  • Dedicated supply chain scientists
  • Purchase, production and allocation optimisation

Pricing

Engagement-based fees covering software and supply chain scientists; no published price list.

Operating since
2008
Funding
Self-financed after angel round
Delivery
Software plus supply chain scientists

Strengths

  • Directly optimises decisions, not just forecasts
  • Strong on intermittent demand
  • Independent and self-financed
  • Expert team included

Limitations

  • Dependence on vendor scientists
  • Fewer planner collaboration features
  • No published pricing
  • Different approach requires organisational change
12

Netstock

Best for: SME distributors running mid-market ERPs

Netstock sells cloud demand and inventory planning software for small and mid-sized distributors, wholesalers and manufacturers. The product connects to the customer's ERP and automatically converts raw ERP data into forecasts, inventory recommendations and order proposals, with AI capabilities and an inventory health assessment.

Netstock is unusual in publishing a starting price: subscription cost depends on the product and bundle chosen and starts at US$900 per month, sold as annual subscriptions. It says implementation typically takes 6 to 10 weeks depending on data complexity, business size and the ERP being integrated, and includes training and a dedicated team. The vendor claims its software usually pays for itself within weeks; that is a vendor statement. Netstock publishes an annual Supply Chain Planning Benchmark Report and reports ISO 27001 security certification.

Netstock is designed for companies whose ERP forecasting is too basic but who do not need enterprise S&OP or production scheduling. Its depth in multi-echelon and constraint-based planning is limited compared with enterprise suites.

Key features

  • Prebuilt ERP integrations
  • Demand forecasting and order proposals
  • Inventory health scoring
  • AI planning assistance
  • 6–10 week implementations

Pricing

Annual subscription based on product and bundle; from US$900/month; estimate via online form.

Price from
US$900/month
Implementation
6–10 weeks typical
Security
ISO 27001
Target
SME distributors and manufacturers

Strengths

  • Published starting price
  • Fast implementation
  • Designed for ERP-centric SMEs
  • Annual benchmark research

Limitations

  • Limited production and constraint planning
  • Annual commitment
  • Less suited to complex global networks
  • Payback claims are vendor-reported
13

GMDH Streamline

Best for: Mid-sized companies replacing spreadsheet forecasting

Streamline is a supply chain planning product from GMDH, marketed as autonomous supply chain planning software for demand forecasting, inventory optimisation and replenishment. It is aimed at mid-sized distributors, retailers and manufacturers moving from spreadsheets or ERP reports to dedicated planning.

Streamline connects to ERP and accounting systems through API or ODBC connections, and GMDH claims ten times faster implementation than conventional projects. Its site cites customer outcomes such as a furniture brand cutting overstock by US$56,000 a month and pharmaceutical companies reducing inventory by 40–50%; these are vendor-reported figures. Pricing is customised after a discussion of the customer's needs rather than published.

Streamline is an accessible step up from spreadsheet planning with a focus on ease of deployment. It lacks the scenario modelling, multi-echelon optimisation and enterprise S&OP depth of the larger platforms in this list, and its customer outcome claims have not been independently verified.

Key features

  • Automated demand forecasting
  • Inventory optimisation and replenishment
  • API and ODBC connectors
  • Fast implementation focus
  • Collaborative planning workspace

Pricing

Customised pricing after a needs assessment; no published prices.

Vendor
GMDH
Integration
API or ODBC
Pricing
Quote-based

Strengths

  • Simple, fast deployment
  • Connects to many ERPs
  • Good step up from spreadsheets
  • Covers forecasting and replenishment

Limitations

  • No published pricing
  • Limited enterprise S&OP depth
  • Outcome claims are vendor-reported
  • Smaller vendor

Comparison table

ProductVendor ownershipScopeForecasting approachPrimary segmentPublished priceCustomers (vendor-reported)
Kinaxis MaestroListed (TSX: KXS)End-to-endAI/ML, concurrent planningLarge manufacturersQuoteNot published
o9 SolutionsPrivateEnd-to-end plus commercialNeurosymbolic AIGlobal enterprisesQuoteNot published
Blue YonderPanasonicPlanning and executionAI/MLRetail, consumer goodsQuote3,000+
SAP IBPSAPEnd-to-endStatistical, AI, demand sensingSAP ERP usersQuote1,000+ companies
RELEXPrivateRetail planningAI/MLGrocery and retailQuoteAbout 700
ToolsGroupPrivateDemand and inventoryProbabilisticLong-tail demandQuote300+
LogilityApteanEnd-to-endAI (DemandAI+)Consumer goods, apparelQuote800+
AnaplanPrivateConnected planningModel-basedFinance-led firmsQuoteNot published
Slimstock Slim4PrivateDemand and inventoryStatisticalWholesale, distributionQuote1,700+
John Galt AtlasPrivateDemand to S&OPAIMid-marketQuoteNot published
LokadPrivate, self-financedDecision optimisationProbabilisticSpare parts, fashionEngagementNot published
NetstockPrivateDemand and inventoryAI-assistedSME distributorsFrom US$900/monthNot published
GMDH StreamlinePrivateDemand and inventoryAutomatedMid-sized firmsQuoteNot published

Alternatives by use case

  • Companies with simple catalogues may find the forecasting module in their ERP software or inventory management software sufficient before buying a dedicated tool.
  • Retailers needing price and promotion decisions often buy demand planning as part of a retail planning suite such as RELEX or Blue Yonder rather than as a stand-alone product.
  • Finance teams focused on revenue forecasting rather than unit demand may be better served by financial planning and analysis software.
  • Logistics-heavy businesses often combine demand planning with a warehouse management system and transportation management software for execution.
  • Purchasing teams converting forecasts into supplier orders can pair a planning tool with procurement software.

Recent developments

  • 2026: Kinaxis reported that it was named a Leader in the 2026 Gartner Magic Quadrant for Supply Chain Planning Solutions for process and discrete industries.
  • March 2026: Kinaxis reported 2025 revenue of US$548.0 million and ARR of US$433 million, and guided to 2026 revenue of US$620–635 million.
  • 2026: Logility operates as an Aptean company brand.
  • 2026: Slimstock reported ISO 27001:2022 recertification by DNV, NIS2 supply-chain certification and a Gulf partnership with Argon & Co Middle East.
  • 2026: Anaplan announced ISO/IEC 42001 certification for responsible AI governance; Blue Yonder launched AI-driven Cognitive Solutions.

Frequently asked questions

What is demand planning software?

Demand planning software forecasts future customer demand for each product, location and period using sales history, orders, promotions and other signals, and lets planners review and adjust those forecasts collaboratively. The resulting consensus forecast drives inventory targets, purchasing, production plans and financial budgets. It is usually part of a wider supply chain planning suite that also covers supply planning and S&OP.

What is the difference between demand planning and demand forecasting?

Demand forecasting is the statistical or machine-learning calculation that predicts future sales. Demand planning is the wider business process around it: cleaning history, generating the forecast, adding input from sales and marketing, agreeing a consensus number and publishing it to supply, inventory and finance plans. Demand planning software therefore includes forecasting engines plus workflow, collaboration and reporting.

How much does demand planning software cost?

Most vendors quote prices individually. Netstock publishes a starting price of US$900 per month on annual subscription, which indicates the entry level for SME tools. Enterprise platforms such as Kinaxis, o9, Blue Yonder and SAP IBP are priced on modules, data volumes and users and are normally accompanied by implementation projects that can cost as much as the software in the first year.

Can ERP systems do demand planning?

Most ERP systems include basic forecasting, such as moving averages or simple statistical models feeding reorder points. They generally lack advanced machine-learning models, probabilistic forecasting, demand sensing, consensus workflows and scenario planning. Companies with many products, volatile demand or multi-tier distribution networks therefore add a dedicated planning tool that reads data from the ERP and writes back orders or targets.

What is probabilistic forecasting?

Probabilistic forecasting estimates the full probability distribution of future demand rather than a single expected value. Planners can then set stock levels to reach a chosen service level and see the risk of stockouts or excess explicitly. ToolsGroup and Lokad are built around this approach, which is particularly useful for intermittent, long-tail or spare-parts demand.

How long does it take to implement demand planning software?

Mid-market tools aim for weeks: Netstock says its implementations typically take 6 to 10 weeks depending on data, business size and ERP. Enterprise suites covering demand, supply and S&OP across many countries usually run several months or longer, often in phases. Data preparation, particularly cleansing sales history and product hierarchies, is typically the longest task.

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